Online Continual Learning via Multiple Deep Metric Learning and Uncertainty-guided Episodic Memory Replay -- 3rd Place Solution for ICCV 2021 Workshop SSLAD Track 3A Continual Object Classification


Online Continual Learning with Natural Distribution Shifts: An Empirical Study with Visual Data


Online Continual Learning: A Systematic Literature Review of Approaches, Challenges, and Benchmarks


Online Continuous Generalized Category Discovery


Online Control of Adaptive Large Neighborhood Search using Deep Reinforcement Learning


Online Controlled Experiments for Personalised e-Commerce Strategies: Design, Challenges, and Pitfalls


Online Conversion with Switching Costs: Robust and Learning-Augmented Algorithms


Online Convex Optimization with Unbounded Memory


Online Covariance Matrix Estimation in Sketched Newton Methods


Online Data Augmentation for Forecasting with Deep Learning


Online Data Collection for Efficient Semiparametric Inference


Online Decision Deferral under Budget Constraints


Online Decision Making with History-Average Dependent Costs (Extended)


Online Deep Equilibrium Learning for Regularization by Denoising


Online Deep Learning from Doubly-Streaming Data


Online Dense Point Tracking with Streaming Memory


Online Detecting LLM-Generated Texts via Sequential Hypothesis Testing by Betting


Online Detection of Anomalies in Temporal Knowledge Graphs with Interpretability


Online Distillation with Continual Learning for Cyclic Domain Shifts


Online Distillation-enhanced Multi-modal Transformer for Sequential Recommendation


Online Distributed Algorithm for Optimal Power Flow problem with Regret Analysis


Online Distributed Trajectory Planning for Quadrotor Swarm with Feasibility Guarantee using Linear Safe Corridor


Online Domain Adaptation for Occupancy Mapping


Online Domain Adaptation for Semantic Segmentation in Ever-Changing Conditions


Online Drift Detection with Maximum Concept Discrepancy


Online Dynamic Acknowledgement with Learned Predictions


Online Dynamics Learning for Predictive Control with an Application to Aerial Robots


Online Easy Example Mining for Weakly-supervised Gland Segmentation from Histology Images


Online Energy Optimization in GPUs: A Multi-Armed Bandit Approach


Online Enhanced Semantic Hashing: Towards Effective and Efficient Retrieval for Streaming Multi-Modal Data


Online Estimation and Community Detection of Network Point Processes for Event Streams


Online Estimation and Coverage Control with Heterogeneous Sensing Information


Online Estimation and Optimization of Utility-Based Shortfall Risk


Online Estimation of Articulated Objects with Factor Graphs using Vision and Proprioceptive Sensing


Online Event-Triggered Switching for Frequency Control in Power Grids with Variable Inertia


Online Exploration and Coverage Planning in Unknown Obstacle-Cluttered Environments


Online Facility Location with Linear Delay


Online Fall Detection using Recurrent Neural Networks


Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning


Online Feedback Optimization for Subtransmission Grid Control


Online Flocking Control of UAVs with Mean-Field Approximation


Online Forecasting of Total-Variation-bounded Sequences


Online Fusion of Multi-resolution Multispectral Images with Weakly Supervised Temporal Dynamics


Online GNN Evaluation Under Test-time Graph Distribution Shifts


Online Gaussian Test-Time Adaptation of Vision-Language Models


Online Gradient Boosting Decision Tree: In-Place Updates for Efficient Adding/Deleting Data


Online Gradient Descent for Flexible Power Point Tracking Under a Highly Fluctuating Weather and Load


Online Grounding of Symbolic Planning Domains in Unknown Environments


Online Guidance Graph Optimization for Lifelong Multi-Agent Path Finding


Online Heatmap Generation with Both High and Low Weights


Online Hyperparameter Optimization for Class-Incremental Learning


Online Influence Maximization under Decreasing Cascade Model


Online Intrinsic Rewards for Decision Making Agents from Large Language Model Feedback


Online Invariance Selection for Local Feature Descriptors


Online Item Cold-Start Recommendation with Popularity-Aware Meta-Learning


Online Job Scheduler for Fault-tolerant Quantum Multiprogramming


Online Joint Fine-tuning of Multi-Agent Flows


Online Kernel CUSUM for Change-Point Detection


Online Knowledge Distillation for Efficient Pose Estimation


Online Knowledge Distillation via Mutual Contrastive Learning for Visual Recognition


Online Learned Continual Compression with Adaptive Quantization Modules


Online Learning Meets Machine Translation Evaluation: Finding the Best Systems with the Least Human Effort


Online Learning Probabilistic Event Calculus Theories in Answer Set Programming


Online Learning Rate Adaptation with Hypergradient Descent


Online Learning Sensing Matrix and Sparsifying Dictionary Simultaneously for Compressive Sensing


Online Learning With Adaptive Rebalancing in Nonstationary Environments


Online Learning and Control for Data-Augmented Quadrotor Model


Online Learning and Information Exponents: On The Importance of Batch size, and Time/Complexity Tradeoffs


Online Learning and Planning in Partially Observable Domains without Prior Knowledge


Online Learning for Distribution-Free Prediction


Online Learning for Function Placement in Serverless Computing


Online Learning for Traffic Routing under Unknown Preferences


Online Learning in Iterated Prisoner's Dilemma to Mimic Human Behavior


Online Learning of Decision Trees with Thompson Sampling


Online Learning of Weakly Coupled MDP Policies for Load Balancing and Auto Scaling


Online Learning under Haphazard Input Conditions: A Comprehensive Review and Analysis


Online Learning with Costly Features in Non-stationary Environments


Online Learning-based Adaptive Beam Switching for 6G Networks: Enhancing Efficiency and Resilience


Online LiDAR-Camera Extrinsic Parameters Self-checking


Online Localisation and Colored Mesh Reconstruction Architecture for 3D Visual Feedback in Robotic Exploration Missions


Online Marker-free Extrinsic Camera Calibration using Person Keypoint Detections


Online Matching Meets Sampling Without Replacement


Online Maximum Independent Set of Hyperrectangles


Online Merging Optimizers for Boosting Rewards and Mitigating Tax in Alignment


Online Meta-Critic Learning for Off-Policy Actor-Critic Methods


Online Metro Origin-Destination Prediction via Heterogeneous Information Aggregation


Online Mobile App Usage as an Indicator of Sleep Behavior and Job Performance


Online Model Evaluation in a Large-Scale Computational Advertising Platform


Online Monitoring of Spatio-Temporal Properties for Imprecise Signals


Online Monocular Lane Mapping Using Catmull-Rom Spline


Online Multi-Granularity Distillation for GAN Compression


Online Multi-Object Tracking Framework with the GMPHD Filter and Occlusion Group Management


Online Multi-level Contrastive Representation Distillation for Cross-Subject fNIRS Emotion Recognition


Online Multiclass Boosting with Bandit Feedback


Online Multiple Object Tracking with Cross-Task Synergy


Online Multiple Pedestrians Tracking using Deep Temporal Appearance Matching Association


Online Multivariate Regularized Distributional Regression for High-dimensional Probabilistic Electricity Price Forecasting


Online Mutual Foreground Segmentation for Multispectral Stereo Videos


Online Network Traffic Classification Based on External Attention and Convolution by IP Packet Header


Online Networks of Support in Distressed Environments: Solidarity and Mobilization during the Russian Invasion of Ukraine


Online Next-Best-View Planner for 3D-Exploration and Inspection With a Mobile Manipulator Robot


Online Non-linear Centroidal MPC for Humanoid Robot Locomotion with Step Adjustment


Online Non-linear Centroidal MPC for Humanoid Robots Payload Carrying with Contact-Stable Force Parametrization


Online Normalization for Training Neural Networks


Online Object Tracking, Learning and Parsing with And-Or Graphs


Online Object-Oriented Semantic Mapping and Map Updating


Online Obstacle evasion with Space-Filling Curves


Online On-Demand Multi-Robot Coverage Path Planning


Online Optimization with Costly and Noisy Measurements using Random Fourier Expansions


Online Parallel Multi-Task Relationship Learning via Alternating Direction Method of Multipliers


Online Parameter-Free Learning of Multiple Low Variance Tasks


Online Particle Smoothing with Application to Map-matching


Online Performance Estimation with Unlabeled Data: A Bayesian Application of the Hui-Walter Paradigm


Online Photometric Calibration of Automatic Gain Thermal Infrared Cameras


Online Physics-Informed Dynamic Mode Decomposition: Theory and Applications


Online Planner Selection with Graph Neural Networks and Adaptive Scheduling


Online Planning for Constrained POMDPs with Continuous Spaces through Dual Ascent


Online Planning in POMDPs with Self-Improving Simulators


Online Platforms and the Fair Exposure Problem Under Homophily


Online Prediction of Switching Graph Labelings with Cluster Specialists


Online Preference Alignment for Language Models via Count-based Exploration


Online Preference-based Reinforcement Learning with Self-augmented Feedback from Large Language Model


Online Pricing with Reserve Price Constraint for Personal Data Markets


Online Probabilistic Model Identification using Adaptive Recursive MCMC


Online Process Monitoring Using Incremental State-Space Expansion: An Exact Algorithm


Online Prototype Alignment for Few-shot Policy Transfer


Online Prototype Learning for Online Continual Learning


Online Quantitative Timed Pattern Matching with Semiring-Valued Weighted Automata


Online Real-time Multiple Spatiotemporal Action Localisation and Prediction


Online Recognition of Incomplete Gesture Data to Interface Collaborative Robots


Online Refinement of Low-level Feature Based Activation Map for Weakly Supervised Object Localization


Online Relational Inference for Evolving Multi-agent Interacting Systems


Online Resource Allocation for Edge Intelligence with Colocated Model Retraining and Inference


Online Resource Sharing: Better Robust Guarantees via Randomized Strategies


Online Ridesharing with Meeting Points [Technical Report]


Online Robust and Adaptive Learning from Data Streams


Online Sampling from Log-Concave Distributions


Online Schema Evolution is (Almost) Free for Snapshot Databases


Online Search Tool for Graphical Patterns in Electronic Band Structures


Online Segmentation of LiDAR Sequences: Dataset and Algorithm


Online Selective Classification with Limited Feedback


Online Self-Calibration for Visual-Inertial Navigation Systems: Models, Analysis and Degeneracy


Online Self-Evolving Anomaly Detection in Cloud Computing Environments


Online Self-Supervised Thermal Water Segmentation for Aerial Vehicles


Online Semi-Supervised Learning in Contextual Bandits with Episodic Reward


Online Service Migration in Mobile Edge with Incomplete System Information: A Deep Recurrent Actor-Critic Learning Approach


Online Set-Based Dynamic Analysis for Sound Predictive Race Detection


Online Simultaneous Semi-Parametric Dynamics Model Learning


Online Soft Conformance Checking: Any Perspective Can Indicate Deviations


Online Spatiotemporal Action Detection and Prediction via Causal Representations


Online Spectrogram Inversion for Low-Latency Audio Source Separation


Online Structure Learning for Sum-Product Networks with Gaussian Leaves


Online SuBmodular + SuPermodular (BP) Maximization with Bandit Feedback


Online Submodular Maximization via Online Convex Optimization


Online Symbolic Music Alignment with Offline Reinforcement Learning


Online Tensor Methods for Learning Latent Variable Models


Online Test-Time Adaptation of Spatial-Temporal Traffic Flow Forecasting


Online Time-Informed Kinodynamic Motion Planning of Nonlinear Systems


Online Timestamp-based Transactional Isolation Checking of Database Systems (Extended Version)


Online Topology Identification from Vector Autoregressive Time Series


Online Training Through Time for Spiking Neural Networks


Online Training of Spiking Recurrent Neural Networks with Phase-Change Memory Synapses


Online Trajectory Optimization for Persistent Monitoring Problems in Partitioned Environments


Online Transformers with Spiking Neurons for Fast Prosthetic Hand Control


Online Unsupervised Learning of Visual Representations and Categories


Online Variance Reduction for Stochastic Optimization


Online Variational Filtering and Parameter Learning


Online Variational Sequential Monte Carlo


Online Vectorized HD Map Construction using Geometry


Online Versus Offline NMT Quality: An In-depth Analysis on English-German and German-English


Online Visual Place Recognition via Saliency Re-identification


Online Weak-form Sparse Identification of Partial Differential Equations


Online Writer Retrieval with Chinese Handwritten Phrases: A Synergistic Temporal-Frequency Representation Learning Approach


Online Zero-Shot Classification with CLIP


Online and Linear-Time Attention by Enforcing Monotonic Alignments


Online anomaly detection using statistical leverage for streaming business process events


Online conformal inference for multi-step time series forecasting


Online conformal prediction with decaying step sizes


Online detection and infographic explanation of spam reviews with data drift adaptation


Online geolocalized emotion across US cities during the COVID crisis: Universality, policy response, and connection with local mobility


Online greedy identification of linear dynamical systems


Online identification of skidding modes with interactive multiple model estimation


Online input design for discrimination of linear models using concave minimization


Online learning as a way to tackle instabilities and biases in neural network parameterizations


Online learning in motion modeling for intra-interventional image sequences


Online learning of long-range dependencies


Online learning of the transfer matrix of dynamic scattering media: wavefront shaping meets multidimensional time series


Online learning techniques for prediction of temporal tabular datasets with regime changes


Online metric algorithms with untrusted predictions


Online minimum search for Brownian motion and the Cauchy process: Multiple approaches


Online minimum search for a Brownian bridge


Online misinformation is linked to early COVID-19 vaccination hesitancy and refusal


Online neural connectivity estimation with ensemble stimulation


Online nonnegative CP-dictionary learning for Markovian data


Online normalizer calculation for softmax


Online optimisation for dynamic electrical impedance tomography


Online panoptic 3D reconstruction as a Linear Assignment Problem


Online parameter inference for the simulation of a Bunsen flame using heteroscedastic Bayesian neural network ensembles


Online pseudo labeling for polyp segmentation with momentum networks


Online reinforcement learning with sparse rewards through an active inference capsule


Online search of unknown terrains using a dynamical system-based path planning approach


Online simulator-based experimental design for cognitive model selection


Online size Ramsey numbers: Path vs $C_4$


Online speaker diarization of meetings guided by speech separation


Online state vector reduction during model predictive control with gradient-based trajectory optimisation


Online system identification in a Duffing oscillator by free energy minimisation


Online unsupervised Learning for domain shift in COVID-19 CT scan datasets


Online vs. Offline Adaptive Domain Randomization Benchmark


Online, Informative MCMC Thinning with Kernelized Stein Discrepancy


Online-LoRA: Task-free Online Continual Learning via Low Rank Adaptation


Online-compatible Unsupervised Non-resonant Anomaly Detection


OnlineAugment: Online Data Augmentation with Less Domain Knowledge


OnlineRefer: A Simple Online Baseline for Referring Video Object Segmentation


OnlineTAS: An Online Baseline for Temporal Action Segmentation


Only Positive Cases: 5-fold High-order Attention Interaction Model for Skin Segmentation Derived Classification


Only Strict Saddles in the Energy Landscape of Predictive Coding Networks?


Only Time Will Tell: Modelling Information Diffusion in Code Review with Time-Varying Hypergraphs


OnlySportsLM: Optimizing Sports-Domain Language Models with SOTA Performance under Billion Parameters


Onset detection: A new approach to QBH system


Onsite Job Scheduling by Adaptive Genetic Algorithm


Onssen: an open-source speech separation and enhancement library


Onto2Vec: joint vector-based representation of biological entities and their ontology-based annotations


OntoAligner: A Comprehensive Modular and Robust Python Toolkit for Ontology Alignment


OntoChatGPT Information System: Ontology-Driven Structured Prompts for ChatGPT Meta-Learning


OntoED: Low-resource Event Detection with Ontology Embedding


OntoGUM: Evaluating Contextualized SOTA Coreference Resolution on 12 More Genres


OntoMerger: An Ontology Integration Library for Deduplicating and Connecting Knowledge Graph Nodes


OntoProtein: Protein Pretraining With Gene Ontology Embedding


OntoSeer -- A Recommendation System to Improve the Quality of Ontologies


OntoTune: Ontology-Driven Self-training for Aligning Large Language Models


OntoZSL: Ontology-enhanced Zero-shot Learning


Ontologizing Health Systems Data at Scale: Making Translational Discovery a Reality


Ontology Alignment in the Biomedical Domain Using Entity Definitions and Context


Ontology Embedding: A Survey of Methods, Applications and Resources


Ontology Generation using Large Language Models


Ontology Matching Through Absolute Orientation of Embedding Spaces


Ontology Modeling for Decentralized Household Energy Systems


Ontology Reuse: the Real Test of Ontological Design


Ontology-Aware Token Embeddings for Prepositional Phrase Attachment


Ontology-Constrained Generation of Domain-Specific Clinical Summaries


Ontology-Free General-Domain Knowledge Graph-to-Text Generation Dataset Synthesis using Large Language Model


Ontology-Guided, Hybrid Prompt Learning for Generalization in Knowledge Graph Question Answering


Ontology-aware Learning and Evaluation for Audio Tagging


Ontology-based Interpretable Machine Learning for Textual Data


Ontology-based systematic classification and analysis of coronaviruses, hosts, and host-coronavirus interactions towards deep understanding of COVID-19


Ontology-driven Event Type Classification in Images


Ontology-driven weak supervision for clinical entity classification in electronic health records


OntologyRAG: Better and Faster Biomedical Code Mapping with Retrieval-Augmented Generation (RAG) Leveraging Ontology Knowledge Graphs and Large Language Models


OoD-Bench: Quantifying and Understanding Two Dimensions of Out-of-Distribution Generalization


OoDIS: Anomaly Instance Segmentation Benchmark


Oobleck: Resilient Distributed Training of Large Models Using Pipeline Templates


Oolong: Investigating What Makes Transfer Learning Hard with Controlled Studies


Oops I Took A Gradient: Scalable Sampling for Discrete Distributions


Oort Cloud Ecology. III. The Sun left the parent star cluster shortly after the giant planets formed


Oort: Efficient Federated Learning via Guided Participant Selection


OpReg-Boost: Learning to Accelerate Online Algorithms with Operator Regression


OpSparse: a Highly Optimized Framework for Sparse General Matrix Multiplication on GPUs


OpTaS: An Optimization-based Task Specification Library for Trajectory Optimization and Model Predictive Control


Opara: Exploiting Operator Parallelism for Expediting DNN Inference on GPUs


OpeNLGauge: An Explainable Metric for NLG Evaluation with Open-Weights LLMs


Open (Clinical) LLMs are Sensitive to Instruction Phrasings


Open Access Improves the Dissemination of Science: Insights from Wikipedia


Open Ad Hoc Teamwork with Cooperative Game Theory


Open Aspect Target Sentiment Classification with Natural Language Prompts


Open CaptchaWorld: A Comprehensive Web-based Platform for Testing and Benchmarking Multimodal LLM Agents


Open Category Detection with PAC Guarantees


Open Continual Feature Selection via Granular-Ball Knowledge Transfer


Open Data Portal Germany (OPAL) Projektergebnisse


Open Data on GitHub: Unlocking the Potential of AI


Open Datasets for Grid Modeling and Visualization: An Alberta Power Network Case


Open Datasheets: Machine-readable Documentation for Open Datasets and Responsible AI Assessments


Open Deep Search: Democratizing Search with Open-source Reasoning Agents


Open Domain Event Extraction Using Neural Latent Variable Models


Open Eyes, Then Reason: Fine-grained Visual Mathematical Understanding in MLLMs


Open FinLLM Leaderboard: Towards Financial AI Readiness


Open High-Resolution Satellite Imagery: The WorldStrat Dataset -- With Application to Super-Resolution


Open Images V5 Text Annotation and Yet Another Mask Text Spotter


Open Intent Discovery through Unsupervised Semantic Clustering and Dependency Parsing


Open Knowledge Enrichment for Long-tail Entities


Open Knowledge Graphs Canonicalization using Variational Autoencoders


Open Problems in Computer Vision for Wilderness SAR and The Search for Patricia Wu-Murad


Open Relation Modeling: Learning to Define Relations between Entities


Open Relation and Event Type Discovery with Type Abstraction


Open Science in Lattice Gauge Theory community


Open Sesame: Getting Inside BERT's Linguistic Knowledge


Open Set Domain Adaptation for Image and Action Recognition


Open Set Domain Adaptation: Theoretical Bound and Algorithm


Open Set Label Shift with Test Time Out-of-Distribution Reference


Open Set Recognition using Vision Transformer with an Additional Detection Head


Open Set Relation Extraction via Unknown-Aware Training


Open Source Dataset and Deep Learning Models for Online Digit Gesture Recognition on Touchscreens


Open Source Implementations of Numerical Algorithms for Computing the Complete Elliptic Integral of the First Kind


Open Source Language Models Can Provide Feedback: Evaluating LLMs' Ability to Help Students Using GPT-4-As-A-Judge


Open Source Presentation Attack Detection Baseline for Iris Recognition


Open Source Software for Efficient and Transparent Reviews


Open Source Variational Quantum Eigensolver Extension of the Quantum Learning Machine (QLM) for Quantum Chemistry


Open Source, Open Threats? Investigating Security Challenges in Open-Source Software


Open Traffic Models -- A framework for hybrid simulation of transportation networks


Open Vocabulary Learning for Neural Chinese Pinyin IME


Open Vocabulary Monocular 3D Object Detection


Open and Linked Data Model for Carbon Footprint Scenarios


Open and Sustainable AI: challenges, opportunities and the road ahead in the life sciences


Open data to evaluate academic researchers: an experiment with the Italian Scientific Habilitation


Open image computations for elliptic curves over number fields


Open is not forever: a study of vanished open access journals


Open or Closed LLM for Lesser-Resourced Languages? Lessons from Greek


Open quantum systems with local and collective incoherent processes: Efficient numerical simulation using permutational invariance


Open source QGIS toolkit for the Advanced Research WRF modelling system


Open source modelling of scenarios for a 100% renewable energy system in Barbados incorporating shore-to-ship power and electric vehicles


Open source software for automatic subregional assessment of knee cartilage degradation using quantitative T2 relaxometry and deep learning


Open source software for simulations and inversions of airborne electromagnetic data


Open the Black Box: Step-based Policy Updates for Temporally-Correlated Episodic Reinforcement Learning


Open-Access Full-Duplex Wireless in the ORBIT Testbed


Open-Amp: Synthetic Data Framework for Audio Effect Foundation Models


Open-Canopy: Towards Very High Resolution Forest Monitoring


Open-DDVM: A Reproduction and Extension of Diffusion Model for Optical Flow Estimation


Open-Domain Conversational Question Answering with Historical Answers


Open-Domain Conversational Search Assistant with Transformers


Open-Domain Dialog Evaluation using Follow-Ups Likelihood


Open-Domain Hierarchical Event Schema Induction by Incremental Prompting and Verification


Open-Domain Question Answering Goes Conversational via Question Rewriting


Open-Domain Question-Answering for COVID-19 and Other Emergent Domains


Open-Domain Sign Language Translation Learned from Online Video


Open-Domain Targeted Sentiment Analysis via Span-Based Extraction and Classification


Open-Domain Text Evaluation via Contrastive Distribution Methods


Open-Edit: Open-Domain Image Manipulation with Open-Vocabulary Instructions


Open-Ended Medical Visual Question Answering Through Prefix Tuning of Language Models


Open-Ended Multi-Modal Relational Reasoning for Video Question Answering


Open-Ended Reinforcement Learning with Neural Reward Functions


Open-Ended Wargames with Large Language Models


Open-Event Procedure Planning in Instructional Videos


Open-Full-Jaw: An open-access dataset and pipeline for finite element models of human jaw


Open-Fusion: Real-time Open-Vocabulary 3D Mapping and Queryable Scene Representation


Open-LLM-Leaderboard: From Multi-choice to Open-style Questions for LLMs Evaluation, Benchmark, and Arena


Open-RadVLAD: Fast and Robust Radar Place Recognition


Open-Retrieval Conversational Machine Reading


Open-Retrieval Conversational Question Answering


Open-Set 3D Semantic Instance Maps for Vision Language Navigation -- O3D-SIM


Open-Set Biometrics: Beyond Good Closed-Set Models


Open-Set Deepfake Detection: A Parameter-Efficient Adaptation Method with Forgery Style Mixture


Open-Set Domain Adaptation for Semantic Segmentation


Open-Set Face Identification on Few-Shot Gallery by Fine-Tuning


Open-Set Gait Recognition from Sparse mmWave Radar Point Clouds


Open-Set Knowledge-Based Visual Question Answering with Inference Paths


Open-Set Recognition in the Age of Vision-Language Models


Open-Set Recognition: a Good Closed-Set Classifier is All You Need?


Open-Source Assessments of AI Capabilities: The Proliferation of AI Analysis Tools, Replicating Competitor Models, and the Zhousidun Dataset


Open-Source Benchtop Magnetophotometer (MAP) for Characterizing the Magnetic Susceptibility of Suspended Nanoparticles


Open-Source Differentiable Lithography Imaging Framework


Open-Source Factor Graph Optimization Package for GNSS: Examples and Applications


Open-Source Framework for Encrypted Internet and Malicious Traffic Classification


Open-Source Numerical Solver for Neutrino Collective Effects -- I: Isotropic Neutrino Gas


Open-Source Periorbital Segmentation Dataset for Ophthalmic Applications


Open-Source Reinforcement Learning Environments Implemented in MuJoCo with Franka Manipulator


Open-Source Web Service with Morphological Dictionary-Supplemented Deep Learning for Morphosyntactic Analysis of Czech


Open-Sourced Reinforcement Learning Environments for Surgical Robotics


Open-Structure: Structural Benchmark Dataset for SLAM Algorithms


Open-TI: Open Traffic Intelligence with Augmented Language Model


Open-Vocabulary Affordance Detection in 3D Point Clouds


Open-Vocabulary Affordance Detection using Knowledge Distillation and Text-Point Correlation


Open-Vocabulary Animal Keypoint Detection with Semantic-feature Matching


Open-Vocabulary Argument Role Prediction for Event Extraction


Open-Vocabulary Attention Maps with Token Optimization for Semantic Segmentation in Diffusion Models


Open-Vocabulary Calibration for Fine-tuned CLIP


Open-Vocabulary Camouflaged Object Segmentation


Open-Vocabulary Camouflaged Object Segmentation with Cascaded Vision Language Models


Open-Vocabulary DETR with Conditional Matching


Open-Vocabulary Federated Learning with Multimodal Prototyping


Open-Vocabulary Instance Segmentation via Robust Cross-Modal Pseudo-Labeling


Open-Vocabulary Mobile Manipulation Based on Double Relaxed Contrastive Learning with Dense Labeling


Open-Vocabulary Multi-Label Classification via Multi-Modal Knowledge Transfer


Open-Vocabulary Object Detection Using Captions


Open-Vocabulary One-Stage Detection with Hierarchical Visual-Language Knowledge Distillation


Open-Vocabulary Online Semantic Mapping for SLAM


Open-Vocabulary Panoptic Segmentation Using BERT Pre-Training of Vision-Language Multiway Transformer Model


Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models


Open-Vocabulary Point-Cloud Object Detection without 3D Annotation


Open-Vocabulary Remote Sensing Image Semantic Segmentation


Open-Vocabulary Semantic Parsing with both Distributional Statistics and Formal Knowledge


Open-Vocabulary Semantic Segmentation with Decoupled One-Pass Network


Open-Vocabulary Semantic Segmentation with Image Embedding Balancing


Open-Vocabulary Semantic Segmentation with Mask-adapted CLIP


Open-Vocabulary Universal Image Segmentation with MaskCLIP


Open-Vocabulary Video Relation Extraction


Open-WikiTable: Dataset for Open Domain Question Answering with Complex Reasoning over Table


Open-World Class Discovery with Kernel Networks


Open-World Instance Segmentation: Exploiting Pseudo Ground Truth From Learned Pairwise Affinity


Open-World Multi-Task Control Through Goal-Aware Representation Learning and Adaptive Horizon Prediction


Open-World Reinforcement Learning over Long Short-Term Imagination


Open-World Semantic Segmentation Including Class Similarity


Open-World Semi-Supervised Learning for Node Classification


Open-World Weakly-Supervised Object Localization


Open-YOLO 3D: Towards Fast and Accurate Open-Vocabulary 3D Instance Segmentation


Open-domain Event Extraction and Embedding for Natural Gas Market Prediction


Open-domain Implicit Format Control for Large Language Model Generation


Open-ended VQA benchmarking of Vision-Language models by exploiting Classification datasets and their semantic hierarchy


Open-ended search for environments and adapted agents using MAP-Elites


Open-set Recognition based on the Combination of Deep Learning and Ensemble Method for Detecting Unknown Traffic Scenarios


Open-set Text Recognition via Character-Context Decoupling


Open-source FPGA-ML codesign for the MLPerf Tiny Benchmark


Open-source High-precision Autonomous Suturing Framework With Visual Guidance


Open-source Large Language Models are Strong Zero-shot Query Likelihood Models for Document Ranking


Open-source Tools for Training Resources -- OTTR


Open-source data pipeline for street-view images: a case study on community mobility during COVID-19 pandemic


Open-source library for performance-portable neutrino reaction rates: Application to neutron star mergers


Open-source neuronavigation for multimodal non-invasive brain stimulation using 3D Slicer


Open-source shape optimization for isogeometric shells using FEniCS and OpenMDAO


Open-source software for electrical engineering applications requiring consideration of electrodynamics: elecode


Open-sourced Dataset Protection via Backdoor Watermarking


Open-vocabulary Object Detection via Vision and Language Knowledge Distillation


Open-vocabulary Semantic Segmentation with Frozen Vision-Language Models


Open-vocabulary Video Question Answering: A New Benchmark for Evaluating the Generalizability of Video Question Answering Models


Open-world Multi-label Text Classification with Extremely Weak Supervision


Open-world Semantic Segmentation for LIDAR Point Clouds


Open-world Semi-supervised Novel Class Discovery


Open3DBench: Open-Source Benchmark for 3D-IC Backend Implementation and PPA Evaluation


Open3DIS: Open-Vocabulary 3D Instance Segmentation with 2D Mask Guidance


Open3DSG: Open-Vocabulary 3D Scene Graphs from Point Clouds with Queryable Objects and Open-Set Relationships


Open3DTrack: Towards Open-Vocabulary 3D Multi-Object Tracking


Open3DVQA: A Benchmark for Comprehensive Spatial Reasoning with Multimodal Large Language Model in Open Space


Open4Business(O4B): An Open Access Dataset for Summarizing Business Documents


OpenACE: An Open Benchmark for Evaluating Audio Coding Performance


OpenAD: Open-World Autonomous Driving Benchmark for 3D Object Detection


OpenAL: An Efficient Deep Active Learning Framework for Open-Set Pathology Image Classification


OpenAL: Evaluation and Interpretation of Active Learning Strategies


OpenAUC: Towards AUC-Oriented Open-Set Recognition


OpenAirLink: Reproducible Wireless Channel Emulation using Software Defined Radios


OpenAnimalTracks: A Dataset for Animal Track Recognition


OpenAnnotate3D: Open-Vocabulary Auto-Labeling System for Multi-modal 3D Data


OpenApePose: a database of annotated ape photographs for pose estimation


OpenAsp: A Benchmark for Multi-document Open Aspect-based Summarization


OpenAttack: An Open-source Textual Adversarial Attack Toolkit


OpenBA: An Open-sourced 15B Bilingual Asymmetric seq2seq Model Pre-trained from Scratch


OpenBSD formal driver verification with SeL4


OpenBezoar: Small, Cost-Effective and Open Models Trained on Mixes of Instruction Data


OpenBias: Open-set Bias Detection in Text-to-Image Generative Models


OpenBioLink: A benchmarking framework for large-scale biomedical link prediction


OpenBot: Turning Smartphones into Robots


OpenCIL: Benchmarking Out-of-Distribution Detection in Class-Incremental Learning


OpenCL Actors - Adding Data Parallelism to Actor-based Programming with CAF


OpenCL-based FPGA accelerator for disparity map generation with stereoscopic event cameras


OpenCOLE: Towards Reproducible Automatic Graphic Design Generation


OpenCQA: Open-ended Question Answering with Charts


OpenCSG Chinese Corpus: A Series of High-quality Chinese Datasets for LLM Training


OpenCSI: An Open-Source Dataset for Indoor Localization Using CSI-Based Fingerprinting


OpenCalib: A Multi-sensor Calibration Toolbox for Autonomous Driving


OpenCarbon: A Contrastive Learning-based Cross-Modality Neural Approach for High-Resolution Carbon Emission Prediction Using Open Data


OpenCarbonEval: A Unified Carbon Emission Estimation Framework in Large-Scale AI Models


OpenCat: Improving Interoperability of ADS Testing


OpenChemIE: An Information Extraction Toolkit For Chemistry Literature


OpenCity: Open Spatio-Temporal Foundation Models for Traffic Prediction


OpenCoS: Contrastive Semi-supervised Learning for Handling Open-set Unlabeled Data


OpenCon: Open-world Contrastive Learning


OpenDataVal: a Unified Benchmark for Data Valuation


OpenDiLoCo: An Open-Source Framework for Globally Distributed Low-Communication Training


OpenDlign: Open-World Point Cloud Understanding with Depth-Aligned Images


OpenDosimeter: Open Hardware Personal X-ray Dosimeter


OpenDriveVLA: Towards End-to-end Autonomous Driving with Large Vision Language Action Model


OpenDust: A fast GPU-accelerated code for calculation forces, acting on microparticles in a plasma flow


OpenEDGAR: Open Source Software for SEC EDGAR Analysis


OpenEMMA: Open-Source Multimodal Model for End-to-End Autonomous Driving


OpenESS: Event-based Semantic Scene Understanding with Open Vocabularies


OpenEthics: A Comprehensive Ethical Evaluation of Open-Source Generative Large Language Models


OpenFACADES: An Open Framework for Architectural Caption and Attribute Data Enrichment via Street View Imagery


OpenFMNav: Towards Open-Set Zero-Shot Object Navigation via Vision-Language Foundation Models


OpenFed: A Comprehensive and Versatile Open-Source Federated Learning Framework


OpenFilter: A Framework to Democratize Research Access to Social Media AR Filters


OpenForest: A data catalogue for machine learning in forest monitoring


OpenForge: Probabilistic Metadata Integration


OpenFraming: We brought the ML; you bring the data. Interact with your data and discover its frames


OpenGAN: Open-Set Recognition via Open Data Generation


OpenGCD: Assisting Open World Recognition with Generalized Category Discovery


OpenGDA: Graph Domain Adaptation Benchmark for Cross-network Learning


OpenGERT: Open Source Automated Geometry Extraction with Geometric and Electromagnetic Sensitivity Analyses for Ray-Tracing Propagation Models


OpenGF: An Ultra-Large-Scale Ground Filtering Dataset Built Upon Open ALS Point Clouds Around the World


OpenGT: A Comprehensive Benchmark For Graph Transformers


OpenGeMM: A High-Utilization GeMM Accelerator Generator with Lightweight RISC-V Control and Tight Memory Coupling


OpenGraph: Open-Vocabulary Hierarchical 3D Graph Representation in Large-Scale Outdoor Environments


OpenGraph: Towards Open Graph Foundation Models


OpenGridGym: An Open-Source AI-Friendly Toolkit for Distribution Market Simulation


OpenGrok: Enhancing SNS Data Processing with Distilled Knowledge and Mask-like Mechanisms


OpenHPS: An Open Source Hybrid Positioning System


OpenHelix: A Short Survey, Empirical Analysis, and Open-Source Dual-System VLA Model for Robotic Manipulation


OpenHuEval: Evaluating Large Language Model on Hungarian Specifics


OpenHumidistat: Humidity-controlled experiments for everyone


OpenIE6: Iterative Grid Labeling and Coordination Analysis for Open Information Extraction


OpenIPDM: A Probabilistic Framework for Estimating the Deterioration and Effect of Interventions on Bridges


OpenIPMC: a free and open source Intelligent Platform Management Controller


OpenIncrement: A Unified Framework for Open Set Recognition and Deep Class-Incremental Learning


OpenIns3D: Snap and Lookup for 3D Open-vocabulary Instance Segmentation


OpenKBP-Opt: An international and reproducible evaluation of 76 knowledge-based planning pipelines


OpenKD: Opening Prompt Diversity for Zero- and Few-shot Keypoint Detection


OpenKI: Integrating Open Information Extraction and Knowledge Bases with Relation Inference


OpenKinoAI: An Open Source Framework for Intelligent Cinematography and Editing of Live Performances


OpenKiwi: An Open Source Framework for Quality Estimation


OpenLDN: Learning to Discover Novel Classes for Open-World Semi-Supervised Learning


OpenLane-V2: A Topology Reasoning Benchmark for Unified 3D HD Mapping


OpenLiDARMap: Zero-Drift Point Cloud Mapping using Map Priors


OpenML-Python: an extensible Python API for OpenML


OpenMLDB: A Real-Time Relational Data Feature Computation System for Online ML


OpenMM-Python-Force: Deploying Accelerated Python Modules in Molecular Dynamics Simulation


OpenMORE: an open-source tool for sampling-based path replanning in ROS


OpenMPL: An Open Source Layout Decomposer


OpenMPR: Recognize Places Using Multimodal Data for People with Visual Impairments


OpenMask3D: Open-Vocabulary 3D Instance Segmentation


OpenMaskDINO3D : Reasoning 3D Segmentation via Large Language Model


OpenMetBuoy-V2021: an easy-to-build, affordable, customizable, open source instrument for oceanographic measurements of drift and waves in sea ice and the open ocean


OpenMines: A Light and Comprehensive Mining Simulation Environment for Truck Dispatching


OpenMix: Exploring Outlier Samples for Misclassification Detection


OpenNIRScap: An Open-Source, Low-Cost Wearable Near-Infrared Spectroscopy-based Brain Interfacing Cap


OpenNav: Efficient Open Vocabulary 3D Object Detection for Smart Wheelchair Navigation


OpenObj: Open-Vocabulary Object-Level Neural Radiance Fields with Fine-Grained Understanding


OpenOcc: Open Vocabulary 3D Scene Reconstruction via Occupancy Representation


OpenOccupancy: A Large Scale Benchmark for Surrounding Semantic Occupancy Perception


OpenOmni: A Collaborative Open Source Tool for Building Future-Ready Multimodal Conversational Agents


OpenPARF: An Open-Source Placement and Routing Framework for Large-Scale Heterogeneous FPGAs with Deep Learning Toolkit


OpenPI-C: A Better Benchmark and Stronger Baseline for Open-Vocabulary State Tracking


OpenPI2.0: An Improved Dataset for Entity Tracking in Texts


OpenPIV-Matlab -- An open-source software for particle image velocimetry; test case: birds' aerodynamics


OpenPSG: Open-set Panoptic Scene Graph Generation via Large Multimodal Models


OpenPodcar: an Open Source Vehicle for Self-Driving Car Research


OpenPros: A Large-Scale Dataset for Limited View Prostate Ultrasound Computed Tomography


OpenQL : A Portable Quantum Programming Framework for Quantum Accelerators


OpenRAND: A Performance Portable, Reproducible Random Number Generation Library for Parallel Computations


OpenRANet: Neuralized Spectrum Access by Joint Subcarrier and Power Allocation with Optimization-based Deep Learning


OpenREALM: Real-time Mapping for Unmanned Aerial Vehicles


OpenRFT: Adapting Reasoning Foundation Model for Domain-specific Tasks with Reinforcement Fine-Tuning


OpenRL: A Unified Reinforcement Learning Framework


OpenRadar: A Toolkit for Prototyping mmWave Radar Applications


OpenResearcher: Unleashing AI for Accelerated Scientific Research


OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation


OpenSBLI: A framework for the automated derivation and parallel execution of finite difference solvers on a range of computer architectures


OpenSDI: Spotting Diffusion-Generated Images in the Open World


OpenSLU: A Unified, Modularized, and Extensible Toolkit for Spoken Language Understanding


OpenSR: Open-Modality Speech Recognition via Maintaining Multi-Modality Alignment


OpenScan: A Benchmark for Generalized Open-Vocabulary 3D Scene Understanding


OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning


OpenSep: Leveraging Large Language Models with Textual Inversion for Open World Audio Separation


OpenSkill: A faster asymmetric multi-team, multiplayer rating system


OpenStance: Real-world Zero-shot Stance Detection


OpenStreetMap-based Autonomous Navigation With LiDAR Naive-Valley-Path Obstacle Avoidance


OpenStreetView-5M: The Many Roads to Global Visual Geolocation


OpenSync: An opensource platform for synchronizing multiple measures in neuroscience experiments


OpenTAL: Towards Open Set Temporal Action Localization


OpenTM: An Open-source, Single-GPU, Large-scale Thermal Microstructure Design Framework


OpenTPS -- Open-source treatment planning system for research in proton therapy


OpenTab: Advancing Large Language Models as Open-domain Table Reasoners


OpenTapioca: Lightweight Entity Linking for Wikidata


OpenTensor: Reproducing Faster Matrix Multiplication Discovering Algorithms


OpenTera: A Microservice Architecture Solution for Rapid Prototyping of Robotic Solutions to COVID-19 Challenges in Care Facilities


OpenToM: A Comprehensive Benchmark for Evaluating Theory-of-Mind Reasoning Capabilities of Large Language Models


OpenTraj: Assessing Prediction Complexity in Human Trajectories Datasets


OpenTrench3D: A Photogrammetric 3D Point Cloud Dataset for Semantic Segmentation of Underground Utilities


OpenUAS: Embeddings of Cities in Japan with Anchor Data for Cross-city Analysis of Area Usage Patterns


OpenUAV Cloud Testbed: a Collaborative Design Studio for Field Robotics


OpenUni: A Simple Baseline for Unified Multimodal Understanding and Generation


OpenVLThinker: An Early Exploration to Complex Vision-Language Reasoning via Iterative Self-Improvement


OpenVNA: A Framework for Analyzing the Behavior of Multimodal Language Understanding System under Noisy Scenarios


OpenVVC: a Lightweight Software Decoder for the Versatile Video Coding Standard


OpenViVQA: Task, Dataset, and Multimodal Fusion Models for Visual Question Answering in Vietnamese


OpenViewer: Openness-Aware Multi-View Learning


OpenWebMath: An Open Dataset of High-Quality Mathematical Web Text


OpenWiFiSync: Open Source Implementation of a Clock Synchronization Algorithm using Wi-Fi


OpenXAI: Towards a Transparent Evaluation of Model Explanations


Opening Deep Neural Networks with Generative Models


Opening practice: supporting Reproducibility and Critical spatial data science


Opening the AI black box: program synthesis via mechanistic interpretability


Opening the Black Box of 3D Reconstruction Error Analysis with VECTOR


Opening the Black Box of wav2vec Feature Encoder


Opening the Black Box: Analyzing Attention Weights and Hidden States in Pre-trained Language Models for Non-language Tasks


Opening the Black Box: Towards inherently interpretable energy data imputation models using building physics insight


Opening the Black Box: predicting the trainability of deep neural networks with reconstruction entropy


Opening the TAR Black Box: Developing an Interpretable System for eDiscovery Using the Fuzzy ARTMAP Neural Network


Opening the Vocabulary of Egocentric Actions


Opening the black box of language acquisition


Opening the black-box of Neighbor Embedding with Hotelling's T2 statistic and Q-residuals


Opening up ChatGPT: Tracking openness, transparency, and accountability in instruction-tuned text generators


Opening up echo chambers via optimal content recommendation


Openslice: An opensource OSS for Delivering Network Slice as a Service


Openstory++: A Large-scale Dataset and Benchmark for Instance-aware Open-domain Visual Storytelling


Openwifi CSI fuzzer for authorized sensing and covert channels


OpenworldAUC: Towards Unified Evaluation and Optimization for Open-world Prompt Tuning


Operating with Quantum Integers: an Efficient 'Multiples of' Oracle


Operation is the hardest teacher: estimating DNN accuracy looking for mispredictions


Operation-Aware Soft Channel Pruning using Differentiable Masks


Operation-Level Performance Benchmarking of Graph Neural Networks for Scientific Applications


Operation-based Refactoring-aware Merging: An Empirical Evaluation


Operation-level Progressive Differentiable Architecture Search


Operational route planning under uncertainty for Demand Adaptive Systems


Operational solar flare prediction model using Deep Flare Net


Operationalization of Topology of Sustainable Management to Estimate Qualitatively Different Regions in State Space


Operationalizing Complex Causes: A Pragmatic View of Mediation


Operationalizing Cybersecurity Knowledge: Design, Implementation & Evaluation of a Knowledge Management System for CACAO Playbooks


Operationalizing a Threat Model for Red-Teaming Large Language Models (LLMs)


Operationally accessible entanglement of one dimensional spinless fermions


Operations Guided Neural Networks for High Fidelity Data-To-Text Generation


Operations Smart Contract to Realize Decentralized System Operations Workflow for Consortium Blockchain


Operator $K$-theoretic analysis of random adjacency matrices


Operator Deep Smoothing for Implied Volatility


Operator Forces For Coarse-Grained Molecular Dynamics


Operator Inference and Physics-Informed Learning of Low-Dimensional Models for Incompressible Flows


Operator Learning for Schrödinger Equation: Unitarity, Error Bounds, and Time Generalization


Operator Learning with Gaussian Processes


Operator Learning with Neural Fields: Tackling PDEs on General Geometries


Operator Shifting for Noisy Elliptic Systems


Operator Space Entangling Power of Quantum Dynamics and Local Operator Entanglement Growth in Dual-Unitary Circuits


Operator Splitting Performance Estimation: Tight contraction factors and optimal parameter selection


Operator Splitting for Learning to Predict Equilibria in Convex Games


Operator World Models for Reinforcement Learning


Operator as a Service: Stateful Serverless Complex Event Processing


Operator fusion from wavefunction overlaps: Universal finite-size corrections and application to Haagerup model


Operator inference for non-intrusive model reduction with quadratic manifolds


Operator inference of non-Markovian terms for learning reduced models from partially observed state trajectories


Operator-induced structural variable selection for identifying materials genes


OperatorNet: Recovering 3D Shapes From Difference Operators


OphGLM: Training an Ophthalmology Large Language-and-Vision Assistant based on Instructions and Dialogue


OphNet: A Large-Scale Video Benchmark for Ophthalmic Surgical Workflow Understanding


Ophora: A Large-Scale Data-Driven Text-Guided Ophthalmic Surgical Video Generation Model


OpinSummEval: Revisiting Automated Evaluation for Opinion Summarization


Opinion Dynamics with Varying Susceptibility to Persuasion


Opinion Maximization in Social Trust Networks


Opinion Prediction with User Fingerprinting


Opinion Tree Parsing for Aspect-based Sentiment Analysis


Opinion dynamics model of collaborative learning


Opinion response functions are key to understanding tipping of social conventions


Opinion-Based Centrality in Multiplex Networks: A Convex Optimization Approach


Opinion-Unaware Blind Image Quality Assessment using Multi-Scale Deep Feature Statistics


Opinion-aware Answer Generation for Review-driven Question Answering in E-Commerce


OpinionConv: Conversational Product Search with Grounded Opinions


OpinionDigest: A Simple Framework for Opinion Summarization


Opinionated practices for teaching reproducibility: motivation, guided instruction and practice


Opinions are Made to be Changed: Temporally Adaptive Stance Classification


Opponent Learning Awareness and Modelling in Multi-Objective Normal Form Games


Opponent Modeling in Deep Reinforcement Learning


Opponent Modeling in Negotiation Dialogues by Related Data Adaptation


Opportunistic Routing in Wireless Communications via Learnable State-Augmented Policies


Opportunities and Challenges in Neural Dialog Tutoring


Opportunities and Challenges of Deep Learning Methods for Electrocardiogram Data: A Systematic Review


Opportunities and challenges in partitioning the graph measure space of real-world networks


Opportunities in Time-Domain Extragalactic Astrophysics with the NASA Near-Earth Object Camera (NEOCam)


Opposing Average Congruence Class Biases in the Cyclicity and Koblitz Conjectures for Elliptic Curves


OpsEval: A Comprehensive IT Operations Benchmark Suite for Large Language Models


OptAGAN: Entropy-based finetuning on text VAE-GAN


OptBA: Optimizing Hyperparameters with the Bees Algorithm for Improved Medical Text Classification


OptEmbed: Learning Optimal Embedding Table for Click-through Rate Prediction


OptEx: Expediting First-Order Optimization with Approximately Parallelized Iterations


OptG: Optimizing Gradient-driven Criteria in Network Sparsity


OptIForest: Optimal Isolation Forest for Anomaly Detection


OptLLM: Optimal Assignment of Queries to Large Language Models


Optab: Public code for generating gas opacity tables for radiation hydrodynamics simulations


OptiBench Meets ReSocratic: Measure and Improve LLMs for Optimization Modeling


OptiGAN: Generative Adversarial Networks for Goal Optimized Sequence Generation


OptiMic: A tool to generate optimized polycrystalline microstructures for materials simulations


OptiMindTune: A Multi-Agent Framework for Intelligent Hyperparameter Optimization


OptiState: State Estimation of Legged Robots using Gated Networks with Transformer-based Vision and Kalman Filtering


OpticFusion: Multi-Modal Neural Implicit 3D Reconstruction of Microstructures by Fusing White Light Interferometry and Optical Microscopy


Optical Aberration Correction in Postprocessing using Imaging Simulation


Optical Braille Recognition Using Object Detection CNN


Optical Character Recognition of 19th Century Classical Commentaries: the Current State of Affairs


Optical Cross-Match of SRG/eROSITA X-ray Sources Using the Deep Lockman Hole Survey as an Example


Optical Flow Dataset and Benchmark for Visual Crowd Analysis


Optical Flow Estimation for Spiking Camera


Optical Flow Guided Feature: A Fast and Robust Motion Representation for Video Action Recognition


Optical Flow Requires Multiple Strategies (but only one network)


Optical Flow boosts Unsupervised Localization and Segmentation


Optical Label-Free Microscopy Characterization of Dielectric Nanoparticles


Optical Non-Line-of-Sight Physics-based 3D Human Pose Estimation


Optical Properties of Aluminium-Doped Zinc Oxide Thin Films Synthesized via AACVD Using Nitrogen as a Carrier Gas


Optical Tweezers: A Comprehensive Tutorial from Calibration to Applications


Optical and nanostructural insights of oblique angle deposited layers applied for photononic coatings


Optical and near-infrared spectroscopy of quasars at $z>6.5$: public data release and composite spectrum


Optical chiral sorting forces and their manifestation in evanescent waves and nanofibres


Optical conductivity of an anharmonic large polaron gas at weak coupling


Optical darkness in short-duration $γ$-ray bursts


Optical decoder learning for fiber communication at the quantum limit


Optical flares due to X-ray irradiation during BeXRB major outbursts


Optical flow estimation from event-based cameras and spiking neural networks


Optical imaging of MHD bubble flow in Hele-Shaw liquid metal cells


Optical materials discovery and design with federated databases and machine learning


Optical payload design for downlink quantum key distribution and keyless communication using CubeSats


Optical polarization evolution and transmission in multi-Ranvier-node axonal myelin-sheath waveguides


Optical polarization skyrmionic fields in free space


Optical ray tracing of echelle spectrographs applied to the wavelength solution for precise radial velocities


OpticalDR: A Deep Optical Imaging Model for Privacy-Protective Depression Recognition


OpticalGAN : Generative Adversarial Networks for Continuous Variable Quantum Computation


Optimal 1D Ly$α$ Forest Power Spectrum Estimation -- III. DESI early data


Optimal ANN-SNN Conversion for Fast and Accurate Inference in Deep Spiking Neural Networks


Optimal ANN-SNN Conversion for High-accuracy and Ultra-low-latency Spiking Neural Networks


Optimal ANN-SNN Conversion with Group Neurons


Optimal Activation Functions for the Random Features Regression Model


Optimal Adaptive Prediction Intervals for Electricity Load Forecasting in Distribution Systems via Reinforcement Learning


Optimal Aggregation of Prediction Intervals under Unsupervised Domain Shift


Optimal Alarms for Vehicular Collision Detection


Optimal Algorithm Allocation for Robotic Network Cloud Systems


Optimal Algorithm Allocation for Single Robot Cloud Systems


Optimal Approximate Sampling from Discrete Probability Distributions


Optimal Approximation of Doubly Stochastic Matrices


Optimal Attack and Defense for Reinforcement Learning


Optimal Auctions through Deep Learning: Advances in Differentiable Economics


Optimal Bandwidth Choice for Robust Bias Corrected Inference in Regression Discontinuity Designs


Optimal Baseline Corrections for Off-Policy Contextual Bandits


Optimal Bayesian Affine Estimator and Active Learning for the Wiener Model


Optimal Bayesian estimation of Gaussian mixtures with growing number of components


Optimal Bayesian stepped-wedge cluster randomised trial designs for binary outcome data


Optimal Behaviour in Solar Renewable Energy Certificate (SREC) Markets


Optimal Binary Classification Beyond Accuracy


Optimal Brain Compression: A Framework for Accurate Post-Training Quantization and Pruning


Optimal Bubble Riding: A Mean Field Game with Varying Entry Times


Optimal Classification and Outlier Detection for Stripped-Envelope Core-Collapse Supernovae


Optimal Classification under Performative Distribution Shift


Optimal Classification-based Anomaly Detection with Neural Networks: Theory and Practice


Optimal Client Sampling for Federated Learning


Optimal Clifford Initial States for Ising Hamiltonians


Optimal Combination of Arctic Sea Ice Extent Measures: A Dynamic Factor Modeling Approach


Optimal Comparator Adaptive Online Learning with Switching Cost


Optimal Complexity and Certification of Bregman First-Order Methods


Optimal Condition Training for Target Source Separation


Optimal Conformal Prediction for Small Areas


Optimal Conformal Prediction under Epistemic Uncertainty


Optimal Constrained Task Planning as Mixed Integer Programming


Optimal Contextual Bandits with Knapsacks under Realizability via Regression Oracles


Optimal Control Operator Perspective and a Neural Adaptive Spectral Method


Optimal Control for Constrained Coverage Path Planning


Optimal Control for Quadruped Locomotion using LTV MPC


Optimal Control of Agent-Based Dynamics under Deep Galerkin Feedback Laws


Optimal Control of Boolean Control Networks with Discounted Cost: An Efficient Approach based on Deterministic Markov Decision Process


Optimal Control of Grid-Interfacing Inverters With Current Magnitude Limits


Optimal Control of Mechanical Ventilators with Learned Respiratory Dynamics


Optimal Control of Several Motion Models


Optimal Control of Traffic Signals using Quantum Annealing


Optimal Control of an Epidemic with Intervention Design


Optimal Control of the SIR Model with Constrained Policy, with an Application to COVID-19


Optimal Convergence Rates for the Proximal Bundle Method


Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks


Optimal Correction Cost for Object Detection Evaluation


Optimal Cost Design for Model Predictive Control


Optimal Counterfactual Explanations in Tree Ensembles


Optimal Cox Regression Subsampling Procedure with Rare Events


Optimal DLT-based Solutions for the Perspective-n-Point


Optimal Data Collection for Randomized Control Trials


Optimal Data Selection: An Online Distributed View


Optimal Decision Tree Policies for Markov Decision Processes


Optimal Decision Trees for Nonlinear Metrics


Optimal Defenses Against Gradient Reconstruction Attacks


Optimal Design of Distributed Energy Systems Considering the Impacts on Electrical Power Networks


Optimal Design of Energy-Efficient Multi-User MIMO Systems: Is Massive MIMO the Answer?


Optimal Design of Resolvent Splitting Algorithms


Optimal Differentially Private Model Training with Public Data


Optimal Dorfman Group Testing for Symmetric Distributions


Optimal Dosing Schedules for Substances Inducing Tolerance


Optimal Droop Control Strategy for Coordinated Voltage Regulation and Power Sharing in Hybrid AC-MTDC Systems


Optimal Edge User Allocation in Edge Computing with Variable Sized Vector Bin Packing


Optimal Embedding Guided Negative Sample Generation for Knowledge Graph Link Prediction


Optimal Ensemble Construction for Multi-Study Prediction with Applications to COVID-19 Excess Mortality Estimation


Optimal Epidemic Control in Equilibrium with Imperfect Testing and Enforcement


Optimal Errors and Phase Transitions in High-Dimensional Generalized Linear Models


Optimal Estimation of Generalized Average Treatment Effects using Kernel Optimal Matching


Optimal Estimation of Large-Dimensional Nonlinear Factor Models


Optimal Experimental Design for Staggered Rollouts


Optimal Experimental Designs for Estimating Henry's Law Constants via the Method of Phase Ratio Variation


Optimal Eye Surgeon: Finding Image Priors through Sparse Generators at Initialization


Optimal False Discovery Rate Control for Large Scale Multiple Testing with Auxiliary Information


Optimal Feature Transport for Cross-View Image Geo-Localization


Optimal First-Order Algorithms as a Function of Inequalities


Optimal Flexible Consensus and its Application to Ethereum


Optimal Flow Matching: Learning Straight Trajectories in Just One Step


Optimal Follow-Up of Gravitational-Wave Events with the UltraViolet EXplorer (UVEX)


Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning


Optimal Gravitational-wave Follow-up Tiling Strategies Using a Genetic Algorithm


Optimal Guaranteed Cost Control of Discrete-Time Linear Systems subject to Structured Uncertainties


Optimal High-order Tensor SVD via Tensor-Train Orthogonal Iteration


Optimal Hospital Capacity Management During Demand Surges


Optimal ISAC Beamforming Structure and Efficient Algorithms for Sum Rate and CRLB Balancing


Optimal Influencer Marketing Campaign Under Budget Constraints Using Frank-Wolfe


Optimal Insurance to Maximize Exponential Utility when Premium is Computed by a Convex Functional


Optimal Intervention in Economic Networks using Influence Maximization Methods


Optimal Intervention on Weighted Networks via Edge Centrality


Optimal Kernel Orchestration for Tensor Programs with Korch


Optimal Kronecker-Sum Approximation of Real Time Recurrent Learning


Optimal LP Rounding and Linear-Time Approximation Algorithms for Clustering Edge-Colored Hypergraphs


Optimal Linear Decay Learning Rate Schedules and Further Refinements


Optimal Linear Precoder Design for MIMO-OFDM Integrated Sensing and Communications Based on Bayesian Cramér-Rao Bound


Optimal Linear Subspace Search: Learning to Construct Fast and High-Quality Schedulers for Diffusion Models


Optimal Load Ensemble Control in Chance-Constrained Optimal Power Flow


Optimal Locally Private Nonparametric Classification with Public Data


Optimal MRI Undersampling Patterns for Ultimate Benefit of Medical Vision Tasks


Optimal Market Making by Reinforcement Learning


Optimal Mass Variables for Semivisible Jets


Optimal Matrix-Mimetic Tensor Algebras via Variable Projection


Optimal Measurement Configuration in Computational Diffractive Imaging


Optimal Multi-Wave Validation of Secondary Use Data with Outcome and Exposure Misclassification


Optimal Multi-port-based Teleportation Schemes


Optimal Network Slicing for Service-Oriented Networks with Flexible Routing and Guaranteed E2E Latency


Optimal Neural Network Approximation of Wasserstein Gradient Direction via Convex Optimization


Optimal Non-Convex Exact Recovery in Stochastic Block Model via Projected Power Method


Optimal Obfuscation Mechanisms via Machine Learning


Optimal Operation of Distribution System Operator and the Impact of Peer-to-Peer Transactions


Optimal Operation of a Building with Electricity-Heat Networks and Seasonal Storage


Optimal Path-Planning with Random Breakdowns


Optimal Piecewise Local-Linear Approximations


Optimal Piecewise-based Mechanism for Collecting Bounded Numerical Data under Local Differential Privacy


Optimal Placement of Nature-Based Solutions for Urban Challenges


Optimal Placement of Virtual Inertia in Power Grids


Optimal Planning of Hybrid Energy Storage Systems using Curtailed Renewable Energy through Deep Reinforcement Learning


Optimal Polynomial Smoothers for Parallel AMG


Optimal Potential Shaping on SE(3) via Neural ODEs on Lie Groups


Optimal Power Allocation in Downlink Multicarrier NOMA Systems: Theory and Fast Algorithms


Optimal Prediction using Learning and Shape Optimization


Optimal Projection Guided Transfer Hashing for Image Retrieval


Optimal Reactive Operation of General Topology Supply Chain and Manufacturing Networks under Disruptions


Optimal Receive Filter Design for Misaligned Over-the-Air Computation


Optimal Recovery from Inaccurate Data in Hilbert Spaces: Regularize, but what of the Parameter?


Optimal Recurrent Network Topologies for Dynamical Systems Reconstruction


Optimal Regret Analysis of Thompson Sampling in Stochastic Multi-armed Bandit Problem with Multiple Plays


Optimal Regret Is Achievable with Bounded Approximate Inference Error: An Enhanced Bayesian Upper Confidence Bound Framework


Optimal Representations for Covariate Shift


Optimal Reservoir Operations using Long Short-Term Memory Network


Optimal Resource Allocation with Delay Guarantees for Network Slicing in Disaggregated RAN


Optimal Resource and Demand Redistribution for Healthcare Systems Under Stress from COVID-19


Optimal Ridge Regularization for Out-of-Distribution Prediction


Optimal Risk Scores for Continuous Predictors


Optimal Robotic Assembly Sequence Planning: A Sequential Decision-Making Approach


Optimal Robust Network Design: Formulations and Algorithms for Maximizing Algebraic Connectivity


Optimal Routing for Constant Function Market Makers


Optimal Routing in the Presence of Hooks: Three Case Studies


Optimal SIC Ordering and Power Allocation in Downlink Multi-Cell NOMA Systems


Optimal STEM Convergence Angle Selection using a Convolutional Neural Network and the Strehl Ratio


Optimal Scaling for Locally Balanced Proposals in Discrete Spaces


Optimal Scaling of MCMC Beyond Metropolis


Optimal Scenario Reduction for One- and Two-Stage Robust Optimization


Optimal Scheduling of Variable Speed Pumps Using Mixed Integer Linear Programming -- Towards An Automated Approach


Optimal Seed Solver: Optimizing Seed Selection in Read Mapping


Optimal Sensor Scheduling and Selection for Continuous-Discrete Kalman Filtering with Auxiliary Dynamics


Optimal Sets and Solution Paths of ReLU Networks


Optimal Status Updates for Minimizing Age of Correlated Information in IoT Networks with Energy Harvesting Sensors


Optimal Storage Arbitrage under Net Metering using Linear Programming


Optimal Strategies in Ranked Choice Voting


Optimal Strategies of Quantum Metrology with a Strict Hierarchy


Optimal Subsampling Design for Polynomial Regression in one Covariate


Optimal Subspace Inference for the Laplace Approximation of Bayesian Neural Networks


Optimal Task Assignment to Heterogeneous Federated Learning Devices


Optimal Teaming for Coordination with Bounded Rationality via Convex Optimization


Optimal Testing and Containment Strategies for Universities in Mexico amid COVID-19


Optimal Testing in the Experiment-rich Regime


Optimal Thompson Sampling strategies for support-aware CVaR bandits


Optimal Trade Execution with Uncertain Volume Target


Optimal Training of Mean Variance Estimation Neural Networks


Optimal Transport Aggregation for Visual Place Recognition


Optimal Transport Features for Morphometric Population Analysis


Optimal Transport Guided Correlation Assignment for Multimodal Entity Linking


Optimal Transport Kernels for Sequential and Parallel Neural Architecture Search


Optimal Transport Model Distributional Robustness


Optimal Transport Posterior Alignment for Cross-lingual Semantic Parsing


Optimal Transport and Adaptive Thresholding for Universal Domain Adaptation on Time Series


Optimal Transport as a Defense Against Adversarial Attacks


Optimal Transport for Change Detection on LiDAR Point Clouds


Optimal Transport for Conditional Domain Matching and Label Shift


Optimal Transport for Counterfactual Estimation: A Method for Causal Inference


Optimal Transport for Diffeomorphic Registration


Optimal Transport for Domain Adaptation through Gaussian Mixture Models


Optimal Transport for Measures with Noisy Tree Metric


Optimal Transport for Offline Imitation Learning


Optimal Transport for Stationary Markov Chains via Policy Iteration


Optimal Transport for Unsupervised Denoising Learning


Optimal Transport of Classifiers to Fairness


Optimal Transport on Categorical Data for Counterfactuals using Compositional Data and Dirichlet Transport


Optimal Transport using GANs for Lineage Tracing


Optimal Transport-Based Token Weighting scheme for Enhanced Preference Optimization


Optimal Transport-based Alignment of Learned Character Representations for String Similarity


Optimal Transport-based Identity Matching for Identity-invariant Facial Expression Recognition


Optimal Two-Qubit Circuits for Universal Fault-Tolerant Quantum Computation


Optimal Universal Quantum Error Correction via Bounded Reference Frames


Optimal Video Compression using Pixel Shift Tracking


Optimal Visual Search with Highly Heuristic Decision Rules


Optimal Zero-Shot Detector for Multi-Armed Attacks


Optimal activity and battery scheduling algorithm using load and solar generation forecast


Optimal actuator design via Brunovsky's normal form


Optimal adaptive control with separable drift uncertainty


Optimal allocation of finite sampling capacity in accumulator models of multi-alternative decision making


Optimal allocation strategies in platform trials


Optimal ambition in business, politics and life


Optimal and Adaptive Monteiro-Svaiter Acceleration


Optimal and Automated Deployment for Microservices


Optimal and Scalable Augmented Lagrangian preconditioners for Fictitious Domain problems


Optimal and Stable Multi-Layer Object Rearrangement on a Tabletop


Optimal and efficient text counterfactuals using Graph Neural Networks


Optimal and fast online change point estimation in linear regression


Optimal approximation for unconstrained non-submodular minimization


Optimal band gap for improved thermoelectric performance of two-dimensional Dirac materials


Optimal cleaning for singular values of cross-covariance matrices


Optimal control for parameter estimation in partially observed hypoelliptic stochastic differential equations


Optimal control in combination therapy for heterogeneous cell populations with drug synergies


Optimal control of COVID-19 infection rate considering social costs


Optimal control of a non-smooth quasilinear elliptic equation


Optimal control of an SIR epidemic through finite-time non-pharmaceutical intervention


Optimal control of elliptic equations with positive measures


Optimal control of partial differential equations in PyTorch using automatic differentiation and neural network surrogates


Optimal control of the principal coefficient in a scalar wave equation


Optimal day-ahead offering strategy for large producers based on market price response learning


Optimal decision making in robotic assembly and other trial-and-error tasks


Optimal deep neural networks for sparse recovery via Laplace techniques


Optimal denoising of rotationally invariant rectangular matrices


Optimal depth and a novel approach to variational quantum process tomography


Optimal design of vaccination policies: A case study for Newfoundland and Labrador


Optimal designs for discrete choice models via graph Laplacians


Optimal distributed control with stability guarantees by training a network of neural closed-loop maps


Optimal dosing of anti-cancer treatment under drug-induced plasticity


Optimal entanglement distribution policies in homogeneous repeater chains with cutoffs


Optimal entangling operations between deterministic blocks of qubits encoded into single photons


Optimal estimates of diffusion coefficients from molecular dynamics simulations


Optimal estimation of Gaussian (poly)trees


Optimal experimental design for parameter estimation in the presence of observation noise


Optimal extraction of echelle spectra: getting the most from observations


Optimal fermion-qubit mappings via quadratic assignment


Optimal flock formation induced by agent heterogeneity


Optimal gridding and degridding in radio interferometry imaging


Optimal incentives to mitigate epidemics: a Stackelberg mean field game approach


Optimal individualized treatment regimes for survival data with competing risks


Optimal inexactness schedules for Tunable Oracle based Methods


Optimal input configuration of dynamic contrast enhanced MRI in convolutional neural networks for liver segmentation


Optimal intervention strategies for minimizing total incidence during an epidemic


Optimal limits of continuously monitored thermometers and their Hamiltonian structure


Optimal line packings from finite group actions


Optimal line packings from nonabelian groups


Optimal linear subdivision rules for noisy data


Optimal management of a stochastically varying population when policy adjustment is costly


Optimal market-neutral currency trading on the cryptocurrency platform


Optimal mean first-passage time of a Brownian searcher with resetting in one and two dimensions: Experiments, theory and numerical tests


Optimal measurement network of pairwise differences


Optimal metabolic strategies for microbial growth in stationary random environments


Optimal modularity and memory capacity of neural reservoirs


Optimal nonparametric change point detection and localization


Optimal packing of attractor states in neural representations


Optimal percolation in correlated multilayer networks with overlap


Optimal planning for heterogeneous autonomous teams with precedence and compatibility constraints and its application on power grid inspection with Unmanned Aerial Vehicles


Optimal portfolio allocation with uncertain covariance matrix


Optimal pre-train/fine-tune strategies for accurate material property predictions


Optimal quadratic binding for relational reasoning in vector symbolic neural architectures


Optimal quantum parametric feedback cooling


Optimal quantum reservoir computing for the NISQ era


Optimal quasi-Bayesian reduced rank regression with incomplete response


Optimal randomized multilevel Monte Carlo for repeatedly nested expectations


Optimal reconciliation with immutable forecasts


Optimal regularized inverse matrices for inverse problems


Optimal reinsurance design under solvency constraints


Optimal resetting strategies for search processes in heterogeneous environments


Optimal ridge penalty for real-world high-dimensional data can be zero or negative due to the implicit ridge regularization


Optimal risk-assessment scheduling for primary prevention of cardiovascular disease


Optimal sampling for design-based estimators of regression models


Optimal sampling of dynamical large deviations in two dimensions via tensor networks


Optimal security hardening over a probabilistic attack graph: a case study of an industrial control system using the CySecTool tool


Optimal soil sampling design based on the maxvol algorithm


Optimal sparse phase retrieval via a quasi-Bayesian approach


Optimal spectral transportation with application to music transcription


Optimal squeezing for quantum target detection


Optimal starting point for time series forecasting


Optimal stopping of Gauss-Markov bridges


Optimal stopping of an Ornstein-Uhlenbeck bridge


Optimal strategy to certify quantum nonlocality


Optimal structured light waves generation in 3D volumes using communication mode optics


Optimal time sampling in physics-informed neural networks


Optimal tracking strategies in a turbulent flow


Optimal training of integer-valued neural networks with mixed integer programming


Optimal training of variational quantum algorithms without barren plateaus


Optimal transport couplings of Gibbs samplers on partitions for unbiased estimation


Optimal transport for automatic alignment of untargeted metabolomic data


Optimal transport weights for causal inference


Optimal transport-based machine learning to match specific patterns: application to the detection of molecular regulation patterns in omics data


Optimal two-qubit gates in recurrence protocols of entanglement purification


Optimal universal learning machines for quantum state discrimination


Optimal vaccination at high reproductive numbers: sharp transitions and counter-intuitive allocations


Optimal vintage factor analysis with deflation varimax


Optimal virulence strategies in epidemiological models with asymptomatic transmission


Optimal, centralized dynamic curbside parking space zoning


Optimal, near-optimal, and robust epidemic control


Optimal-Hash Exact String Matching Algorithms


Optimal-PhiBE: A PDE-based Model-free framework for Continuous-time Reinforcement Learning


Optimal-Time Text Indexing in BWT-runs Bounded Space


Optimal-state Dynamics Estimation for Physics-based Human Motion Capture from Videos


Optimality Conditions for Bilevel Imaging Learning Problems with Total Variation Regularization


Optimality Gap of Decentralized Submodular Maximization under Probabilistic Communication


Optimality Guarantees for Particle Belief Approximation of POMDPs


Optimality Inductive Biases and Agnostic Guidelines for Offline Reinforcement Learning


Optimality of Finite-Support Parameter Shift Rules for Derivatives of Variational Quantum Circuits


Optimality of Gradient-MUSIC for Spectral Estimation


Optimality of the recursive Neyman allocation


Optimality-based Analysis of XCSF Compaction in Discrete Reinforcement Learning


Optimally Combining Classifiers for Semi-Supervised Learning


Optimally Computing Compressed Indexing Arrays Based on the Compact Directed Acyclic Word Graph


Optimally Controllable Perceptual Lossy Compression


Optimally Improving Cooperative Learning in a Social Setting


Optimally Weighted PCA for High-Dimensional Heteroscedastic Data


Optimally weighted average derivative effects


Optimally weighted loss functions for solving PDEs with Neural Networks


Optimally-Weighted Estimators of the Maximum Mean Discrepancy for Likelihood-Free Inference


Optimally-Weighted Herding is Bayesian Quadrature


Optimisation of Overparametrized Sum-Product Networks


Optimisation of Power Grid Stability Under Uncertainty


Optimisation of Structured Neural Controller Based on Continuous-Time Policy Gradient


Optimisation of the coalescent hyperbolic embedding of complex networks


Optimised Least Squares Approach for Accurate Polygon and Ellipse Fitting


Optimised operation of low-emission offshore oil and gas platform integrated energy systems


Optimising Distributions with Natural Gradient Surrogates


Optimising Dynamic Traffic Distribution for Urban Networks with Answer Set Programming


Optimising Equal Opportunity Fairness in Model Training


Optimising Event-Driven Spiking Neural Network with Regularisation and Cutoff


Optimising Individual-Treatment-Effect Using Bandits


Optimising Kernel-based Multivariate Statistical Process Control


Optimising entanglement distribution policies under classical communication constraints assisted by reinforcement learning


Optimising experimental design in neutron reflectometry


Optimising for the Unknown: Domain Alignment for Cephalometric Landmark Detection


Optimising the Fit of Stack Overflow Code Snippets into Existing Code


Optimising the H$α$ index for the identification of activity signals in FGK stars. Improvement of the correlation between H$α$ and CaII H&K


Optimism brings accurate perception in Iterated Prisoner's Dilemma


Optimistic Critic Reconstruction and Constrained Fine-Tuning for General Offline-to-Online RL


Optimistic Curiosity Exploration and Conservative Exploitation with Linear Reward Shaping


Optimistic Distributionally Robust Optimization for Nonparametric Likelihood Approximation


Optimistic Distributionally Robust Policy Optimization


Optimistic Exploration even with a Pessimistic Initialisation


Optimistic Interior Point Methods for Sequential Hypothesis Testing by Betting


Optimistic Linear Support and Successor Features as a Basis for Optimal Policy Transfer


Optimistic Online Non-stochastic Control via FTRL


Optimistic Optimisation of Composite Objective with Exponentiated Update


Optimistic Posterior Sampling for Reinforcement Learning with Few Samples and Tight Guarantees


Optimistic Query Routing in Clustering-based Approximate Maximum Inner Product Search


Optimistic Rates for Learning from Label Proportions


Optimistic Verifiable Training by Controlling Hardware Nondeterminism


Optimistic Whittle Index Policy: Online Learning for Restless Bandits


Optimistic variants of single-objective bilevel optimization for evolutionary algorithms


Optimistix: modular optimisation in JAX and Equinox


Optimization Algorithm Design via Electric Circuits


Optimization Algorithm Synthesis based on Integral Quadratic Constraints: A Tutorial


Optimization Beyond the Convolution: Generalizing Spatial Relations with End-to-End Metric Learning


Optimization Dynamics of Equivariant and Augmented Neural Networks


Optimization Models to Meet the Conditions of Order Preservation in the Analytic Hierarchy Process


Optimization Over Trained Neural Networks: Taking a Relaxing Walk


Optimization Proxies using Limited Labeled Data and Training Time -- A Semi-Supervised Bayesian Neural Network Approach


Optimization Variance: Exploring Generalization Properties of DNNs


Optimization and Generalization Analysis of Transduction through Gradient Boosting and Application to Multi-scale Graph Neural Networks


Optimization and Interpretability of Graph Attention Networks for Small Sparse Graph Structures in Automotive Applications


Optimization and Validation of Diffusion MRI-based Fiber Tracking with Neural Tracer Data as a Reference


Optimization as Estimation with Gaussian Processes in Bandit Settings


Optimization by Parallel Quasi-Quantum Annealing with Gradient-Based Sampling


Optimization dependent generalization bound for ReLU networks based on sensitivity in the tangent bundle


Optimization for Arbitrary-Oriented Object Detection via Representation Invariance Loss


Optimization for Classical Machine Learning Problems on the GPU


Optimization hardness constrains ecological transients


Optimization meets Machine Learning: An Exact Algorithm for Semi-Supervised Support Vector Machines


Optimization of Annealed Importance Sampling Hyperparameters


Optimization of Artificial Neural Networks models applied to the identification of images of asteroids' resonant arguments


Optimization of BDD-based Approximation Error Metrics Calculations


Optimization of Decision Tree Evaluation Using SIMD Instructions


Optimization of Forcemyography Sensor Placement for Arm Movement Recognition


Optimization of Graph Neural Networks with Natural Gradient Descent


Optimization of Hybrid Power Plants: When Is a Detailed Electrolyzer Model Necessary?


Optimization of Image Processing Algorithms for Character Recognition in Cultural Typewritten Documents


Optimization of Indexing Based on k-Nearest Neighbor Graph for Proximity Search in High-dimensional Data


Optimization of Inter-group Criteria for Clustering with Minimum Size Constraints


Optimization of Non-Equilibrium Self-Assembly Protocols Using Markov State Models


Optimization of Oblivious Decision Tree Ensembles Evaluation for CPU


Optimization of Pressure Management Strategies for Geological CO2 Sequestration Using Surrogate Model-based Reinforcement Learning


Optimization of Radio Array Telescopes to Search for Fast RadioBursts


Optimization of Topology-Aware Job Allocation on a High-Performance Computing Cluster by Neural Simulated Annealing


Optimization of Trajectories for Machine Learning Training in Robot Accuracy Modeling


Optimization of XNOR Convolution for Binary Convolutional Neural Networks on GPU


Optimization of a Hydrodynamic Computational Reservoir through Evolution


Optimization of a Radiofrequency Ablation FEM Application Using Parallel Sparse Solvers


Optimization of acquisition parameters for cortical inhomogeneous magnetization transfer (ihMT) imaging using a rapid gradient echo readout


Optimization of array encoding for ultrasound imaging


Optimization of waste collection through the sequencing of micro-routes and transfer station convenience analysis: an Argentinian case study


Optimization on Spheres: Models and Proximal Algorithms with Computational Performance Comparisons


Optimization on black-box function by parameter-shift rule


Optimization on product manifolds under a preconditioned metric


Optimization on the smallest eigenvalue of grounded Laplacian matrix via edge addition


Optimization over Sparse Support-Preserving Sets: Two-Step Projection with Global Optimality Guarantees


Optimization over bounded-rank matrices through a desingularization enables joint global and local guarantees


Optimization problems in graphs with locational uncertainty


Optimization with Access to Auxiliary Information


Optimization with Temporal and Logical Specifications via Generalized Mean-based Smooth Robustness Measures


Optimization with affine homogeneous quadratic integral inequality constraints


Optimization without Retraction on the Random Generalized Stiefel Manifold


Optimization-Aided Construction of Multivariate Chebyshev Polynomials


Optimization-Based Algebraic Multigrid Coarsening Using Reinforcement Learning


Optimization-Based Analysis of Music Intervals and Tuning Systems in Oral Traditions Using Pitch Histograms: A Case Study of Iranian Vocal Music


Optimization-Based Exploration of the Feasible Power Flow Space for Rapid Data Collection


Optimization-Based Improvement of Face Image Quality Assessment Techniques


Optimization-Based Motion Planning for Autonomous Agricultural Vehicles Turning in Constrained Headlands


Optimization-Based Outlier Accommodation for Tightly Coupled RTK-Aided Inertial Navigation Systems in Urban Environments


Optimization-Free Universal Watermark Forgery with Regenerative Diffusion Models


Optimization-Induced Graph Implicit Nonlinear Diffusion


Optimization-Inspired Cross-Attention Transformer for Compressive Sensing


Optimization-Inspired Learning with Architecture Augmentations and Control Mechanisms for Low-Level Vision


Optimization-based Causal Estimation from Heterogenous Environments


Optimization-based Trajectory Planning for Tethered Aerial Robots


Optimize TSK Fuzzy Systems for Classification Problems: Mini-Batch Gradient Descent with Uniform Regularization and Batch Normalization


Optimize TSK Fuzzy Systems for Regression Problems: Mini-Batch Gradient Descent with Regularization, DropRule and AdaBound (MBGD-RDA)


Optimize Weight Rounding via Signed Gradient Descent for the Quantization of LLMs


Optimize and Reduce: A Top-Down Approach for Image Vectorization


Optimized Automated Cardiac MR Scar Quantification with GAN-Based Data Augmentation


Optimized Conformal Selection: Powerful Selective Inference After Conformity Score Optimization


Optimized Couplings for Watermarking Large Language Models


Optimized Covariance Design for AB Test on Social Network under Interference


Optimized Coverage Planning for UV Surface Disinfection


Optimized Crystallographic Graph Generation for Material Science


Optimized Deep Feature Selection for Pneumonia Detection: A Novel RegNet and XOR-Based PSO Approach


Optimized Feature Generation for Tabular Data via LLMs with Decision Tree Reasoning


Optimized Gillespie algorithms for the simulation of Markovian epidemic processes on large and heterogeneous networks


Optimized Gradient Clipping for Noisy Label Learning


Optimized Gradient Tracking for Decentralized Online Learning


Optimized Information Flow for Transformer Tracking


Optimized Loss Functions for Object detection: A Case Study on Nighttime Vehicle Detection


Optimized Model Selection for Estimating Treatment Effects from Costly Simulations of the US Opioid Epidemic


Optimized Observable Readout from Single-shot Images of Ultracold Atoms via Machine Learning


Optimized Parallelization of Boundary Integral Poisson-Boltzmann Solvers


Optimized Realization of Bayesian Networks in Reduced Normal Form using Latent Variable Model


Optimized Recommender Systems with Deep Reinforcement Learning


Optimized Regression Discontinuity Designs


Optimized Runge-Kutta Methods with Automatic Step Size Control for Compressible Computational Fluid Dynamics


Optimized SC-F-LOAM: Optimized Fast LiDAR Odometry and Mapping Using Scan Context


Optimized Sparse Matrix Operations for Reverse Mode Automatic Differentiation


Optimized Speculative Sampling for GPU Hardware Accelerators


Optimized Text Embedding Models and Benchmarks for Amharic Passage Retrieval


Optimized Vessel Segmentation: A Structure-Agnostic Approach with Small Vessel Enhancement and Morphological Correction


Optimized View and Geometry Distillation from Multi-view Diffuser


Optimized circuits for windowed modular arithmetic with applications to quantum attacks against RSA


Optimized electrified meeting-point-based feeder bus services with capacitated charging stations and partial recharges


Optimized ensemble deep learning framework for scalable forecasting of dynamics containing extreme events


Optimized routines for event generators in QED-PIC codes


Optimized sampling of SDSS-IV MaStar spectra for stellar classification using supervised models


Optimized sparse approximate inverse smoothers for solving Laplacian linear systems


Optimized spiking neurons classify images with high accuracy through temporal coding with two spikes


OptimizedDP: An Efficient, User-friendly Library For Optimal Control and Dynamic Programming


Optimizers for Stabilizing Likelihood-free Inference


Optimizing 4D Gaussians for Dynamic Scene Video from Single Landscape Images


Optimizing AI Reasoning: A Hamiltonian Dynamics Approach to Multi-Hop Question Answering


Optimizing Adaptive Attacks against Watermarks for Language Models


Optimizing Age of Information in Internet of Vehicles Over Error-Prone Channels


Optimizing Age of Information in Vehicular Edge Computing with Federated Graph Neural Network Multi-Agent Reinforcement Learning


Optimizing Anytime Reasoning via Budget Relative Policy Optimization


Optimizing Area Under the Curve Measures via Matrix Factorization for Predicting Drug-Target Interaction with Multiple Similarities


Optimizing Backward Policies in GFlowNets via Trajectory Likelihood Maximization


Optimizing Bi-Encoder for Named Entity Recognition via Contrastive Learning


Optimizing BioTac Simulation for Realistic Tactile Perception


Optimizing Black-box Metrics with Iterative Example Weighting


Optimizing Block-Sparse Matrix Multiplications on CUDA with TVM


Optimizing Brain Tumor Classification: A Comprehensive Study on Transfer Learning and Imbalance Handling in Deep Learning Models


Optimizing CAD Models with Latent Space Manipulation


Optimizing CNN-based Hyperspectral ImageClassification on FPGAs


Optimizing Calibration by Gaining Aware of Prediction Correctness


Optimizing Carbon Storage Operations for Long-Term Safety


Optimizing Chain-of-Thought Reasoners via Gradient Variance Minimization in Rejection Sampling and RL


Optimizing Charge Transport Simulation for Hybrid Pixel Detectors


Optimizing Code Runtime Performance through Context-Aware Retrieval-Augmented Generation


Optimizing Communication by Compression for Multi-GPU Scalable Breadth-First Searches


Optimizing Connected Components Graph Partitioning With Minimum Size Constraints Using Integer Programming and Spectral Clustering Techniques


Optimizing Connectivity through Network Gradients for Restricted Boltzmann Machines


Optimizing DDPM Sampling with Shortcut Fine-Tuning


Optimizing Data Augmentation Policy Through Random Unidimensional Search


Optimizing Decomposition for Optimal Claim Verification


Optimizing Deep Learning Models For Raspberry Pi


Optimizing Deep Learning Models to Address Class Imbalance in Code Comment Classification


Optimizing Deep Neural Networks using Safety-Guided Self Compression


Optimizing Differentiable Relaxations of Coreference Evaluation Metrics


Optimizing Disjunctive Queries with Tagged Execution


Optimizing Duplicate Size Thresholds in IDEs


Optimizing Edge AI: A Comprehensive Survey on Data, Model, and System Strategies


Optimizing Edge Offloading Decisions for Object Detection


Optimizing Energy Efficiency in Metro Systems Under Uncertainty Disturbances Using Reinforcement Learning


Optimizing Expectation with Guarantees in POMDPs (Technical Report)


Optimizing Exploration with a New Uncertainty Framework for Active SLAM Systems


Optimizing Extension Techniques for Discovering Non-Algebraic Matroids


Optimizing Falsification for Learning-Based Control Systems: A Multi-Fidelity Bayesian Approach


Optimizing Feature Extraction for Symbolic Music


Optimizing Feature Set for Click-Through Rate Prediction


Optimizing Fiducial Marker Placement for Improved Visual Localization


Optimizing Global Genomic Surveillance for Early Detection of Emerging SARS-CoV-2 Variants


Optimizing Graph Structure for Targeted Diffusion


Optimizing Graphical Procedures for Multiplicity Control in a Confirmatory Clinical Trial via Deep Learning


Optimizing Grouped Convolutions on Edge Devices


Optimizing Hand Region Detection in MediaPipe Holistic Full-Body Pose Estimation to Improve Accuracy and Avoid Downstream Errors


Optimizing Hearthstone Agents using an Evolutionary Algorithm


Optimizing High Throughput Inference on Graph Neural Networks at Shared Computing Facilities with the NVIDIA Triton Inference Server


Optimizing Huffman Decoding for Error-Bounded Lossy Compression on GPUs


Optimizing Hyperparameters with Conformal Quantile Regression


Optimizing Image Compression via Joint Learning with Denoising


Optimizing Initial State of Detector Sensors in Quantum Sensor Networks


Optimizing Interaction Space: Enlarging the Capture Volume for Multiple Portable Motion Capture Devices


Optimizing Interim Analysis Timing for Bayesian Adaptive Commensurate Designs


Optimizing Interpretable Decision Tree Policies for Reinforcement Learning


Optimizing Keyphrase Ranking for Relevance and Diversity Using Submodular Function Optimization (SFO)


Optimizing LLM Inference Throughput via Memory-aware and SLA-constrained Dynamic Batching


Optimizing LLVM Pass Sequences with Shackleton: A Linear Genetic Programming Framework


Optimizing Large Language Models for ESG Activity Detection in Financial Texts


Optimizing Large Language Models for OpenAPI Code Completion


Optimizing Large-Scale Fleet Management on a Road Network using Multi-Agent Deep Reinforcement Learning with Graph Neural Network


Optimizing Large-Scale Hyperparameters via Automated Learning Algorithm


Optimizing Latent Space Directions For GAN-based Local Image Editing


Optimizing Length Compression in Large Reasoning Models


Optimizing Likelihood-free Inference using Self-supervised Neural Symmetry Embeddings


Optimizing Linear Correctors: A Tight Output Min-Entropy Bound and Selection Technique


Optimizing Local Satisfaction of Long-Run Average Objectives in Markov Decision Processes


Optimizing Local-Global Dependencies for Accurate 3D Human Pose Estimation


Optimizing Locally Differentially Private Protocols


Optimizing Luxury Vehicle Dealership Networks: A Graph Neural Network Approach to Site Selection


Optimizing Machine Learning Inference Queries with Correlative Proxy Models


Optimizing Mario Adventures in a Constrained Environment


Optimizing Mastery Learning by Fast-Forwarding Over-Practice Steps


Optimizing Medical Image Segmentation with Advanced Decoder Design


Optimizing Memory Efficiency of Graph Neural Networks on Edge Computing Platforms


Optimizing Mixed Autonomy Traffic Flow With Decentralized Autonomous Vehicles and Multi-Agent RL


Optimizing Mobile-Edge AI-Generated Everything (AIGX) Services by Prompt Engineering: Fundamental, Framework, and Case Study


Optimizing Model Selection for Compound AI Systems


Optimizing Molecules using Efficient Queries from Property Evaluations


Optimizing Near Field Computation in the MLFMA Algorithm with Data Redundancy and Performance Modeling on a Single GPU


Optimizing Nepali PDF Extraction: A Comparative Study of Parser and OCR Technologies


Optimizing Neural Network Hyperparameters with Gaussian Processes for Dialog Act Classification


Optimizing Neural Network Surrogate Models: Application to Black Hole Merger Remnants


Optimizing Neural Networks via Koopman Operator Theory


Optimizing Neural Networks with Gradient Lexicase Selection


Optimizing Observables with Machine Learning for Better Unfolding


Optimizing Parking Space Classification: Distilling Ensembles into Lightweight Classifiers


Optimizing Partial Area Under the Top-k Curve: Theory and Practice


Optimizing Performance and Satisfaction in Matching and Movement Tasks in Virtual Reality with Interventions Using the Data Visualization Literacy Framework


Optimizing Performance of Recurrent Neural Networks on GPUs


Optimizing Personalized Federated Learning through Adaptive Layer-Wise Learning


Optimizing Pessimism in Dynamic Treatment Regimes: A Bayesian Learning Approach


Optimizing Plastic Waste Collection in Water Bodies Using Heterogeneous Autonomous Surface Vehicles with Deep Reinforcement Learning


Optimizing Posterior Samples for Bayesian Optimization via Rootfinding


Optimizing Power Grid Topologies with Reinforcement Learning: A Survey of Methods and Challenges


Optimizing Precision and Power by Machine Learning in Randomized Trials, with an Application to COVID-19


Optimizing Probabilities in Probabilistic Logic Programs


Optimizing Quantum Embedding using Genetic Algorithm for QML Applications


Optimizing Quantum Variational Circuits with Deep Reinforcement Learning


Optimizing ROC Curves with a Sort-Based Surrogate Loss Function for Binary Classification and Changepoint Detection


Optimizing Rare Word Accuracy in Direct Speech Translation with a Retrieval-and-Demonstration Approach


Optimizing Readability Using Genetic Algorithms


Optimizing Research Portfolio For Semantic Impact


Optimizing Retrieval Strategies for Financial Question Answering Documents in Retrieval-Augmented Generation Systems


Optimizing Retrieval-augmented Reader Models via Token Elimination


Optimizing Reusable Knowledge for Continual Learning via Metalearning


Optimizing Robotic Manipulation with Decision-RWKV: A Recurrent Sequence Modeling Approach for Lifelong Learning


Optimizing Sampling Patterns for Compressed Sensing MRI with Diffusion Generative Models


Optimizing Sequential Experimental Design with Deep Reinforcement Learning


Optimizing Short-Time Fourier Transform Parameters via Gradient Descent


Optimizing Shot Assignment in Variational Quantum Eigensolver Measurement


Optimizing Shoulder to Shoulder: A Coordinated Sub-Band Fusion Model for Real-Time Full-Band Speech Enhancement


Optimizing Spatio-Temporal Information Processing in Spiking Neural Networks via Unconstrained Leaky Integrate-and-Fire Neurons and Hybrid Coding


Optimizing Speech Multi-View Feature Fusion through Conditional Computation


Optimizing Streaming Parallelism on Heterogeneous Many-Core Architectures: A Machine Learning Based Approach


Optimizing Supercell Structures for Heisenberg Exchange Interaction Calculations


Optimizing Synthetic Data for Enhanced Pancreatic Tumor Segmentation


Optimizing Task Waiting Times in Dynamic Vehicle Routing


Optimizing Test-Time Query Representations for Dense Retrieval


Optimizing Through Learned Errors for Accurate Sports Field Registration


Optimizing Time Series Forecasting: A Comparative Study of Adam and Nesterov Accelerated Gradient on LSTM and GRU networks Using Stock Market data


Optimizing Transition Strategies for Small to Medium Sized Portfolios


Optimizing Treatment Allocation in the Presence of Interference


Optimizing Urban Mobility Restrictions: a Multi-Agent System (MAS) for SARS-CoV-2


Optimizing Variational Physics-Informed Neural Networks Using Least Squares


Optimizing Video Prediction via Video Frame Interpolation


Optimizing Vision Transformers for Medical Image Segmentation


Optimizing Warfarin Dosing using Deep Reinforcement Learning