MegaPortraits: One-shot Megapixel Neural Head Avatars


MegaPose: 6D Pose Estimation of Novel Objects via Render & Compare


MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videos


Mel-Band RoFormer for Music Source Separation


Mel-spectrogram augmentation for sequence to sequence voice conversion


Melody Harmonization Using Orderless NADE, Chord Balancing, and Blocked Gibbs Sampling


Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory


Membership Inference Attacks Against Object Detection Models


Membership Inference Attacks From First Principles


Membership Inference Attacks are Easier on Difficult Problems


Memory Attention Networks for Skeleton-based Action Recognition


Memory Augmented Graph Neural Networks for Sequential Recommendation


Memory Augmented Policy Optimization for Program Synthesis and Semantic Parsing


Memory Aware Synapses: Learning what (not) to forget


Memory Replay GANs: learning to generate images from new categories without forgetting


Memory-Efficient Pipeline-Parallel DNN Training


Memory-based Semantic Segmentation for Off-road Unstructured Natural Environments


Memory-based control with recurrent neural networks


MemorySAM: Memorize Modalities and Semantics with Segment Anything Model 2 for Multi-modal Semantic Segmentation


Merge Non-Dominated Sorting Algorithm for Many-Objective Optimization


Merge Path - A Visually Intuitive Approach to Parallel Merging


Merge or Not? Learning to Group Faces via Imitation Learning


Merlin: A Vision Language Foundation Model for 3D Computed Tomography


Mesh Variational Autoencoders with Edge Contraction Pooling


MeshGPT: Generating Triangle Meshes with Decoder-Only Transformers


MetAL: Active Semi-Supervised Learning on Graphs via Meta Learning


Meta Fine-Tuning Neural Language Models for Multi-Domain Text Mining


Meta Reinforcement Learning with Task Embedding and Shared Policy


Meta-Amortized Variational Inference and Learning


Meta-Context Transformers for Domain-Specific Response Generation


Meta-F*: Proof Automation with SMT, Tactics, and Metaprograms


Meta-Graph: Few Shot Link Prediction via Meta Learning


Meta-Learning Update Rules for Unsupervised Representation Learning


Meta-Learning in Neural Networks: A Survey


Meta-Learning with Less Forgetting on Large-Scale Non-Stationary Task Distributions


Meta-Path Guided Embedding for Similarity Search in Large-Scale Heterogeneous Information Networks


Meta-Transfer Learning for Zero-Shot Super-Resolution


Meta-control of social learning strategies


Meta-learning framework with applications to zero-shot time-series forecasting


Meta-learning with differentiable closed-form solvers


MetaGen Blended RAG: Higher Accuracy for Domain-Specific Q&A Without Fine-Tuning


MetaIQA: Deep Meta-learning for No-Reference Image Quality Assessment


MetaLogic: Logical Reasoning Explanations with Fine-Grained Structure


MetaSDF: Meta-learning Signed Distance Functions


MetaUAS: Universal Anomaly Segmentation with One-Prompt Meta-Learning


Metadata Archaeology: Unearthing Data Subsets by Leveraging Training Dynamics


Metadynamics sampling in atomic environment space for collecting training data for machine learning potentials


Metallicity estimation of RR Lyrae stars from their I-band light curves


Method of Green's potentials for elliptic PDEs in domains with random apertures


Methods for Recovering Conditional Independence Graphs: A Survey


Metric Learning for Generalizing Spatial Relations to New Objects


Metric Learning with Adaptive Density Discrimination


Metrics, quantization and registration in varifold spaces


MetroViz: Visual Analysis of Public Transportation Data


MicroExpNet: An Extremely Small and Fast Model For Expression Recognition From Face Images


MicroOpt: Model-driven Slice Resource Optimization in 5G and Beyond Networks


MicronNet: A Highly Compact Deep Convolutional Neural Network Architecture for Real-time Embedded Traffic Sign Classification


Microphone Array Generalization for Multichannel Narrowband Deep Speech Enhancement


Microscopic Patterns in the 2D Phase-Field-Crystal Model


Microsoft COCO Captions: Data Collection and Evaluation Server


Mid-Infrared Mapping of Jupiter's Temperatures, Aerosol Opacity and Chemical Distributions with IRTF/TEXES


Miipher: A Robust Speech Restoration Model Integrating Self-Supervised Speech and Text Representations


Milking CowMask for Semi-Supervised Image Classification


Milky Way Accelerometry via Millisecond Pulsar Timing


Mill.jl and JsonGrinder.jl: automated differentiable feature extraction for learning from raw JSON data


Millihertz Quasi-Periodic Oscillations from Marginally Stable Nuclear Burning on an Accreting Neutron Star


Millimeter-Wave UAV Coverage in Urban Environments


Mimicry: Towards the Reproducibility of GAN Research


Min-K%++: Improved Baseline for Detecting Pre-Training Data from Large Language Models


MinMaxLTTB: Leveraging MinMax-Preselection to Scale LTTB


MinPrompt: Graph-based Minimal Prompt Data Augmentation for Few-shot Question Answering


Mind the Pad -- CNNs can Develop Blind Spots


Mind the gap: quantification of incomplete ablation patterns after pulmonary vein isolation using minimum path search


Mind's Eye of LLMs: Visualization-of-Thought Elicits Spatial Reasoning in Large Language Models


MindCraft: Theory of Mind Modeling for Situated Dialogue in Collaborative Tasks


MindSpore Quantum: A User-Friendly, High-Performance, and AI-Compatible Quantum Computing Framework


Minding Fuzzy Regions: A Data-driven Alternating Learning Paradigm for Stable Lesion Segmentation


Mine Your Own vieW: Self-Supervised Learning Through Across-Sample Prediction


MineRL: A Large-Scale Dataset of Minecraft Demonstrations


Mini-GPTs: Efficient Large Language Models through Contextual Pruning


MiniCPS: A toolkit for security research on CPS Networks


MiniF2F: a cross-system benchmark for formal Olympiad-level mathematics


MiniGPT4-Video: Advancing Multimodal LLMs for Video Understanding with Interleaved Visual-Textual Tokens


MiniLMv2: Multi-Head Self-Attention Relation Distillation for Compressing Pretrained Transformers


MiniMax-01: Scaling Foundation Models with Lightning Attention


MiniMaxAD: A Lightweight Autoencoder for Feature-Rich Anomaly Detection


Minimal Algorithmic Information Loss Methods for Dimension Reduction, Feature Selection and Network Sparsification


Minimal Dispersion Approximately Balancing Weights: Asymptotic Properties and Practical Considerations


Minimal I-MAP MCMC for Scalable Structure Discovery in Causal DAG Models


Minimal pole representation for spectral functions


Minimal-Entropy Correlation Alignment for Unsupervised Deep Domain Adaptation


Minimax Estimation of Conditional Moment Models


Minimax Group Fairness: Algorithms and Experiments


Minimax Rates of Estimating Approximate Differential Privacy


Minimizing Quadratic Functions in Constant Time


Minimum Detectable Effect Size Computations for Cluster-Level Regression Discontinuity: Quadratic Functional Form and Beyond


Minimum Race-Time Planning-Strategy for an Autonomous Electric Racecar


Mining Point Cloud Local Structures by Kernel Correlation and Graph Pooling


Mining YouTube - A dataset for learning fine-grained action concepts from webly supervised video data


Mirage in Temporal Correlation functions for Baryon-Baryon Interactions in Lattice QCD


MirrorGAN: Learning Text-to-image Generation by Redescription


Misinfo Reaction Frames: Reasoning about Readers' Reactions to News Headlines


Misleading Authorship Attribution of Source Code using Adversarial Learning


Mismatched Estimation of rank-one symmetric matrices under Gaussian noise


Miss Tools and Mr Fruit: Emergent communication in agents learning about object affordances


Mission Impossible: Securing Master Keys


Mistral-SPLADE: LLMs for better Learned Sparse Retrieval


Mitigating Branch-Shadowing Attacks on Intel SGX using Control Flow Randomization


Mitigating Fine-tuning based Jailbreak Attack with Backdoor Enhanced Safety Alignment


Mitigating Hallucinations in Large Vision-Language Models via Summary-Guided Decoding


Mitigating Object Hallucinations in MLLMs via Multi-Frequency Perturbations


Mitigating Unwanted Biases with Adversarial Learning


Mix-of-Show: Decentralized Low-Rank Adaptation for Multi-Concept Customization of Diffusion Models


MixNet for Generalized Face Presentation Attack Detection


MixUp as Locally Linear Out-Of-Manifold Regularization


Mixed Autoencoder for Self-supervised Visual Representation Learning


Mixed Graphical Models for Causal Analysis of Multi-modal Variables


Mixed Likelihood Gaussian Process Latent Variable Model


Mixed Policy Gradient: off-policy reinforcement learning driven jointly by data and model


Mixed Precision $s$-step Lanczos and Conjugate Gradient Algorithms


Mixed Precision DNNs: All you need is a good parametrization


Mixed Precision Path Tracking for Polynomial Homotopy Continuation


Mixed-Integer Convex Nonlinear Optimization with Gradient-Boosted Trees Embedded


Mixed-Lingual Pre-training for Cross-lingual Summarization


Mixed-Precision Quantization and Parallel Implementation of Multispectral Riemannian Classification for Brain--Machine Interfaces


Mixture Density Generative Adversarial Networks


Mixture models with a prior on the number of components


Mixture of Nested Experts: Adaptive Processing of Visual Tokens


Mixture of Scales: Memory-Efficient Token-Adaptive Binarization for Large Language Models


Mixture-based Feature Space Learning for Few-shot Image Classification


Mixture-of-Agents Enhances Large Language Model Capabilities


Mixture-of-Experts Graph Transformers for Interpretable Particle Collision Detection


Mixture-of-Transformers: A Sparse and Scalable Architecture for Multi-Modal Foundation Models


MmWave Radar Point Cloud Segmentation using GMM in Multimodal Traffic Monitoring


MoDL-MUSSELS: Model-Based Deep Learning for Multi-Shot Sensitivity Encoded Diffusion MRI


MoE-LLaVA: Mixture of Experts for Large Vision-Language Models


MoViNets: Mobile Video Networks for Efficient Video Recognition


Mobile Head Tracking for eCommerce and Beyond


Mobile Robot Path Planning in Dynamic Environments through Globally Guided Reinforcement Learning


MobileDets: Searching for Object Detection Architectures for Mobile Accelerators


MobileSal: Extremely Efficient RGB-D Salient Object Detection


Mock galaxy catalogs using the quick particle mesh method


Modality Fusion Network and Personalized Attention in Momentary Stress Detection in the Wild


Modality-Agnostic Self-Supervised Learning with Meta-Learned Masked Auto-Encoder


Modality-specific Cross-modal Similarity Measurement with Recurrent Attention Network


Model Adaptation: Historical Contrastive Learning for Unsupervised Domain Adaptation without Source Data


Model Assertions for Monitoring and Improving ML Models


Model of spin liquids with and without time-reversal symmetry


Model reduction of a parametrized scalar hyperbolic conservation law using displacement interpolation


Model-Augmented Estimation of Conditional Mutual Information for Feature Selection


Model-Based Planning with Discrete and Continuous Actions


Model-Based Reinforcement Learning for Atari


Model-aware Quantile Regression for Discrete Data


Model-free Deep Reinforcement Learning for Urban Autonomous Driving


Model-free Reinforcement Learning in Infinite-horizon Average-reward Markov Decision Processes


Model-order selection in statistical shape models


Modeling 3D Shapes by Reinforcement Learning


Modeling Barrett's Esophagus Progression using Geometric Variational Autoencoders


Modeling Brain Networks with Artificial Neural Networks


Modeling Constrained Preemption Dynamics Of Transient Cloud Servers


Modeling Data Movement Performance on Heterogeneous Architectures


Modeling Emotions and Ethics with Large Language Models


Modeling Function-Valued Processes with Nonseparable and/or Nonstationary Covariance Structure


Modeling Indirect Illumination for Inverse Rendering


Modeling Local Geometric Structure of 3D Point Clouds using Geo-CNN


Modeling Longitudinal Data on Riemannian Manifolds


Modeling Multi-Action Policy for Task-Oriented Dialogues


Modeling Non-Stationary Temperature Maxima Based on Extremal Dependence Changing with Event Magnitude


Modeling Perceptual Aliasing in SLAM via Discrete-Continuous Graphical Models


Modeling Preconditions in Text with a Crowd-sourced Dataset


Modeling Semantics with Gated Graph Neural Networks for Knowledge Base Question Answering


Modeling Sequences with Quantum States: A Look Under the Hood


Modeling Spatial-Temporal Clues in a Hybrid Deep Learning Framework for Video Classification


Modeling Stochastic Chemical Kinetics on Quantum Computers


Modeling and Evaluation of Clustering Patient Care into Bubbles


Modeling and Optimizing Resource Allocation Decisions through Multi-model Markov Decision Processes with Capacity Constraints


Modeling and Verifying Cyber-Physical Systems with Hybrid Active Objects


Modeling emission of acoustic energy during bubble expansion in PICO bubble chambers


Modeling functional resting-state brain networks through neural message passing on the human connectome


Modeling neural activity at the ensemble level


Modeling observations of solar coronal mass ejections with heliospheric imagers verified with the Heliophysics System Observatory


Modeling plate and spring reverberation using a DSP-informed deep neural network


Modeling question asking using neural program generation


Modeling the Morphology of Fast Radio Bursts and Radio Pulsars with fitburst


Modelling Diffuse Subcellular Protein Structures as Dynamic Social Networks


Modelling Opaque Bilateral Market Dynamics in Financial Trading: Insights from a Multi-Agent Simulation Study


Modelling Reservoir Computing with the Discrete Nonlinear Schrödinger Equation


Modelling Sentiment Analysis: LLMs and data augmentation techniques


Modelling conditional probabilities with Riemann-Theta Boltzmann Machines


Modelling death rates due to COVID-19: A Bayesian approach


Modelling publication bias and p-hacking


Modelling rankings in R: the PlackettLuce package


Modelling the COVID-19 virus evolution with Incremental Machine Learning


Modelling the Self-Assembly of Virus Capsids


Modelling the development of counting with memory-augmented neural networks


Modelling the spread of Covid19 in Italy using a revised version of the SIR model


Modelling the transmission dynamics of online social contagion


Modelling time-varying interactions in complex systems: the Score Driven Kinetic Ising Model


Models and Algorithms for Graph Watermarking


Models of high-frequency quasi-periodic oscillations and black hole spin estimates in Galactic microquasars


Moderately Complex Paxos Made Simple: High-Level Specification of Distributed Algorithm


Modern hierarchical, agglomerative clustering algorithms


Modernizing IRAF to Support Gemini Data Reduction


Modified Euclidean Algorithms for Decoding Reed-Solomon Codes


Modified Relay Selection and Circuit Selection for Faster Tor


Modified Shallow Water Equations for significantly varying seabeds


Modify the Improved Euler scheme to integrate stochastic differential equations


Modon solutions in an N-layer quasi-geostrophic model


Modular Multi-Objective Deep Reinforcement Learning with Decision Values


Modular Vehicle Control for Transferring Semantic Information Between Weather Conditions Using GANs


Modularity and community structure in networks


Modulating Image Restoration with Continual Levels via Adaptive Feature Modification Layers


Modulating early visual processing by language


MogaNet: Multi-order Gated Aggregation Network


Moiré Photo Restoration Using Multiresolution Convolutional Neural Networks


Molecular Dynamics Simulations of Solutions at Constant Chemical Potential


Molecular Graph Convolutions: Moving Beyond Fingerprints


Molecular Index Modulation using Convolutional Neural Networks


Molecular generative model based on conditional variational autoencoder for de novo molecular design


Moment-based Uniform Deviation Bounds for $k$-means and Friends


Moments in Time Dataset: one million videos for event understanding


MonST3R: A Simple Approach for Estimating Geometry in the Presence of Motion


Monarch Mixer: A Simple Sub-Quadratic GEMM-Based Architecture


Monash University, UEA, UCR Time Series Extrinsic Regression Archive


Monkey Optimization System with Active Membranes: A New Meta-heuristic Optimization System


MonoHuman: Animatable Human Neural Field from Monocular Video


MonoLoco: Monocular 3D Pedestrian Localization and Uncertainty Estimation


MonoSDF: Exploring Monocular Geometric Cues for Neural Implicit Surface Reconstruction


Monocular Pedestrian Orientation Estimation Based on Deep 2D-3D Feedforward


Monocular Total Capture: Posing Face, Body, and Hands in the Wild


Monocular Trail Detection and Tracking Aided by Visual SLAM for Small Unmanned Aerial Vehicles


Monolith: Real Time Recommendation System With Collisionless Embedding Table


Monopole density and antiferromagnetic domain control in spin-ice iridates


Monotonically convergent optimization in quantum control using Krotov's method


Monte Carlo EM for Deep Time Series Anomaly Detection


Monte Carlo Q-learning for General Game Playing


Monte Carlo Raytracing Method for Calculating Secondary Electron Emission from Micro-Architected Surfaces


Monte Carlo Scene Search for 3D Scene Understanding


Monte Carlo Simulation of SDEs using GANs


Monte-Carlo simulation for the frequency comb spectrum of an atom laser


Moonbeam: A MIDI Foundation Model Using Both Absolute and Relative Music Attributes


Moore: Interval Arithmetic in Modern C++


Moral decisions in the age of COVID-19: your choices really matter


More Data Can Hurt for Linear Regression: Sample-wise Double Descent


More Photos are All You Need: Semi-Supervised Learning for Fine-Grained Sketch Based Image Retrieval


More Robust Pricing of European Options Based on Fourier Cosine Series Expansions


More Than Meets The Eye: Semi-supervised Learning Under Non-IID Data


More robust estimation of sample average treatment effects using Kernel Optimal Matching in an observational study of spine surgical interventions


More stochastic expansions for the pricing of vanilla options with cash dividends


MorphoCluster: Efficient Annotation of Plankton images by Clustering


Morphological and Language-Agnostic Word Segmentation for NMT


MosAIc: Finding Artistic Connections across Culture with Conditional Image Retrieval


MossFormer2: Combining Transformer and RNN-Free Recurrent Network for Enhanced Time-Domain Monaural Speech Separation


MossFormer: Pushing the Performance Limit of Monaural Speech Separation using Gated Single-Head Transformer with Convolution-Augmented Joint Self-Attentions


Most Permissive Semantics of Boolean Networks


Most Websites Don't Need to Vibrate: A Cost-Benefit Approach to Improving Browser Security


Mostly Exploration-Free Algorithms for Contextual Bandits


Motion Before Action: Diffusing Object Motion as Manipulation Condition


Motion Compensated Dynamic MRI Reconstruction with Local Affine Optical Flow Estimation


Motion Guided 3D Pose Estimation from Videos


Motion Inversion for Video Customization


Motion Planning Transformers: A Motion Planning Framework for Mobile Robots


Motion-based Object Segmentation based on Dense RGB-D Scene Flow


MotionSqueeze: Neural Motion Feature Learning for Video Understanding


MotionTTT: 2D Test-Time-Training Motion Estimation for 3D Motion Corrected MRI


Motivo: fast motif counting via succinct color coding and adaptive sampling


Movable Antenna-enabled RIS-aided Integrated Sensing and Communication


MoverScore: Text Generation Evaluating with Contextualized Embeddings and Earth Mover Distance


Movie Recommendation System using Sentiment Analysis from Microblogging Data


MovieQA: Understanding Stories in Movies through Question-Answering


Moving Deep Learning into Web Browser: How Far Can We Go?


Moving on from OntoNotes: Coreference Resolution Model Transfer


Mr. DETR: Instructive Multi-Route Training for Detection Transformers


MuMath-Code: Combining Tool-Use Large Language Models with Multi-perspective Data Augmentation for Mathematical Reasoning


MuSiQue: Multihop Questions via Single-hop Question Composition


MulT: An End-to-End Multitask Learning Transformer


MulZDG: Multilingual Code-Switching Framework for Zero-shot Dialogue Generation


Multi-Agent Consensus Seeking via Large Language Models


Multi-Agent Constrained Policy Optimisation


Multi-Agent Cooperation and the Emergence of (Natural) Language


Multi-Agent Coverage in Urban Environments


Multi-Agent Deep Reinforcement Learning for Dynamic Power Allocation in Wireless Networks


Multi-Agent Generative Adversarial Imitation Learning


Multi-Agent Image Classification via Reinforcement Learning


Multi-Agent Large Language Models for Conversational Task-Solving


Multi-Agent Pathfinding: Definitions, Variants, and Benchmarks


Multi-Agent Reinforcement Learning in Stochastic Networked Systems


Multi-Agent Reinforcement Learning: A Report on Challenges and Approaches


Multi-Agent Tensor Fusion for Contextual Trajectory Prediction


Multi-Agent Thompson Sampling for Bandit Applications with Sparse Neighbourhood Structures


Multi-Agent Trust Region Policy Optimization


Multi-Armed Bandit Based Client Scheduling for Federated Learning


Multi-Attention Based Ultra Lightweight Image Super-Resolution


Multi-Attention Multi-Class Constraint for Fine-grained Image Recognition


Multi-Attribute Balanced Sampling for Disentangled GAN Controls


Multi-Channel Direct Detection of Light Dark Matter: Target Comparison


Multi-Coil MRI Reconstruction Challenge -- Assessing Brain MRI Reconstruction Models and their Generalizability to Varying Coil Configurations


Multi-Contact Whole-Body Force Control for Position-Controlled Robots


Multi-Context Attention for Human Pose Estimation


Multi-Dimensional Model Compression of Vision Transformer


Multi-Domain Neural Machine Translation with Word-Level Adaptive Layer-wise Domain Mixing


Multi-Domain Processing via Hybrid Denoising Networks for Speech Enhancement


Multi-Drone based Single Object Tracking with Agent Sharing Network


Multi-Fidelity High-Order Gaussian Processes for Physical Simulation


Multi-Gbps HTTP Traffic Analysis in Commodity Hardware Based on Local Knowledge of TCP Streams


Multi-Goal Reinforcement Learning: Challenging Robotics Environments and Request for Research


Multi-Gradient Descent for Multi-Objective Recommender Systems


Multi-Grained Specifications for Distributed System Model Checking and Verification


Multi-Granularity Video Object Segmentation


Multi-Image Steganography Using Deep Neural Networks


Multi-Kernel Fusion for RBF Neural Networks


Multi-Label Image Classification via Knowledge Distillation from Weakly-Supervised Detection


Multi-Label Logo Recognition and Retrieval based on Weighted Fusion of Neural Features


Multi-Label Takagi-Sugeno-Kang Fuzzy System


Multi-Label Zero-Shot Learning with Structured Knowledge Graphs


Multi-Layered Gradient Boosting Decision Trees


Multi-Level Contextual Network for Biomedical Image Segmentation


Multi-Level Network Embedding with Boosted Low-Rank Matrix Approximation


Multi-Level Representation Learning for Deep Subspace Clustering


Multi-Level Variational Autoencoder: Learning Disentangled Representations from Grouped Observations


Multi-Modal Classifiers for Open-Vocabulary Object Detection


Multi-Modal Domain Adaptation for Fine-Grained Action Recognition


Multi-Modal Emotion recognition on IEMOCAP Dataset using Deep Learning


Multi-Modal Fingerprint Presentation Attack Detection: Evaluation On A New Dataset


Multi-Modal Fusion for End-to-End RGB-T Tracking


Multi-Modal Geometric Learning for Grasping and Manipulation


Multi-Modal Graph Neural Network for Joint Reasoning on Vision and Scene Text


Multi-Modal Mutual Information (MuMMI) Training for Robust Self-Supervised Deep Reinforcement Learning


Multi-Modal Neuroimaging Analysis and Visualization Tool (MMVT)


Multi-Modal Reasoning Graph for Scene-Text Based Fine-Grained Image Classification and Retrieval


Multi-Modality Pathology Segmentation Framework: Application to Cardiac Magnetic Resonance Images


Multi-Mode Online Knowledge Distillation for Self-Supervised Visual Representation Learning


Multi-Objective Bayesian Optimisation and Joint Inversion for Active Sensor Fusion


Multi-Objective Interpolation Training for Robustness to Label Noise


Multi-Objective Neural Architecture Search Based on Diverse Structures and Adaptive Recommendation


Multi-Oriented Scene Text Detection via Corner Localization and Region Segmentation


Multi-Oriented Text Detection with Fully Convolutional Networks


Multi-Output Gaussian Processes for Multi-Population Longevity Modeling


Multi-Pass Q-Networks for Deep Reinforcement Learning with Parameterised Action Spaces


Multi-Pointer Co-Attention Networks for Recommendation


Multi-Queues Can Be State-of-the-Art Priority Schedulers


Multi-Range Attentive Bicomponent Graph Convolutional Network for Traffic Forecasting


Multi-Resolution Compressed Sensing via Approximate Message Passing


Multi-Resolution POMDP Planning for Multi-Object Search in 3D


Multi-Robot Searching Algorithm Using Levy Flight and Artificial Potential Field


Multi-Scale Attention with Dense Encoder for Handwritten Mathematical Expression Recognition


Multi-Scale Convolutional Neural Networks for Time Series Classification


Multi-Scale Representation Learning for Spatial Feature Distributions using Grid Cells


Multi-Scale Representation Learning on Proteins


Multi-Scale Vision Longformer: A New Vision Transformer for High-Resolution Image Encoding


Multi-Season Analysis Reveals the Spatial Structure of Disease Spread


Multi-Source Transfer Learning for Non-Stationary Environments


Multi-Stage Reinforcement Learning For Object Detection


Multi-Stage Self-Supervised Learning for Graph Convolutional Networks on Graphs with Few Labels


Multi-Stage Variational Auto-Encoders for Coarse-to-Fine Image Generation


Multi-Target Multiple Instance Learning for Hyperspectral Target Detection


Multi-Task Attention-Based Semi-Supervised Learning for Medical Image Segmentation


Multi-Task Neural Models for Translating Between Styles Within and Across Languages


Multi-Task Reinforcement Learning with Soft Modularization


Multi-Task Spatiotemporal Neural Networks for Structured Surface Reconstruction


Multi-Temporal Recurrent Neural Networks For Progressive Non-Uniform Single Image Deblurring With Incremental Temporal Training


Multi-Transformer: A New Neural Network-Based Architecture for Forecasting S&P Volatility


Multi-Turn Beam Search for Neural Dialogue Modeling


Multi-View Collaborative Network Embedding


Multi-View Stereo by Temporal Nonparametric Fusion


Multi-adversarial Faster-RCNN for Unrestricted Object Detection


Multi-band MelGAN: Faster Waveform Generation for High-Quality Text-to-Speech


Multi-band morpho-Spectral Component Analysis Deblending Tool (MuSCADeT): Deblending colourful objects


Multi-car paint shop optimization with quantum annealing


Multi-channel MRI Embedding: An EffectiveStrategy for Enhancement of Human Brain WholeTumor Segmentation


Multi-class Hierarchical Question Classification for Multiple Choice Science Exams


Multi-defect Dynamics in Active Nematics


Multi-fidelity Generative Deep Learning Turbulent Flows


Multi-granularity Correspondence Learning from Long-term Noisy Videos


Multi-hierarchical Independent Correlation Filters for Visual Tracking


Multi-hop Reading Comprehension via Deep Reinforcement Learning based Document Traversal


Multi-label Methods for Prediction with Sequential Data


Multi-level Attention Model for Weakly Supervised Audio Classification


Multi-level Attention network using text, audio and video for Depression Prediction


Multi-level Dynamic Optimization of Intelligent LEACH with Cost Effective Deep Belief Network


Multi-level Fusion of Wav2vec 2.0 and BERT for Multimodal Emotion Recognition


Multi-level Texture Encoding and Representation (MuLTER) based on Deep Neural Networks


Multi-level graph learning for audio event classification and human-perceived annoyance rating prediction


Multi-messenger observations of a flaring blazar coincident with high-energy neutrino IceCube-170922A


Multi-modal 3D Shape Reconstruction Under Calibration Uncertainty using Parametric Level Set Methods


Multi-modal Graph Neural Network for Early Diagnosis of Alzheimer's Disease from sMRI and PET Scans


Multi-modal Retrieval Augmented Multi-modal Generation: A Benchmark, Evaluate Metrics and Strong Baselines


Multi-modal Summarization for Video-containing Documents


Multi-modal Transformer for Video Retrieval


Multi-modality Associative Bridging through Memory: Speech Sound Recollected from Face Video


Multi-object Tracking with an Adaptive Generalized Labeled Multi-Bernoulli Filter


Multi-objective Ranking via Constrained Optimization


Multi-objective multi-generation Gaussian process optimizer for design optimization


Multi-objective training of Generative Adversarial Networks with multiple discriminators


Multi-pulse fitting of Transition Edge Sensor signals from a near-infrared continuous-wave source


Multi-reference factor analysis: low-rank covariance estimation under unknown translations


Multi-resolution unstructured grid-generation for geophysical applications on the sphere


Multi-sample Estimation of Bacterial Composition Matrix in Metagenomics Data


Multi-scale Convolutional Neural Networks for Crowd Counting


Multi-scale Domain-adversarial Multiple-instance CNN for Cancer Subtype Classification with Unannotated Histopathological Images


Multi-scale Dynamic Feature Encoding Network for Image Demoireing


Multi-scale Dynamic Graph Convolutional Network for Hyperspectral Image Classification


Multi-scale PIIFD for Registration of Multi-source Remote Sensing Images


Multi-scale Processing of Noisy Images using Edge Preservation Losses


Multi-scale Receptive Fields Graph Attention Network for Point Cloud Classification


Multi-scale fully convolutional neural networks for histopathology image segmentation: from nuclear aberrations to the global tissue architecture


Multi-scale initial conditions for cosmological simulations


Multi-site fMRI Analysis Using Privacy-preserving Federated Learning and Domain Adaptation: ABIDE Results


Multi-source Domain Adaptation via Weighted Joint Distributions Optimal Transport


Multi-stage Stern-Gerlach experiment modeled (with additional appendices)


Multi-task Causal Learning with Gaussian Processes


Multi-task Deep Reinforcement Learning with PopArt


Multi-task Learning For Detecting and Segmenting Manipulated Facial Images and Videos


Multi-task Learning and Catastrophic Forgetting in Continual Reinforcement Learning


Multi-task Learning with Sample Re-weighting for Machine Reading Comprehension


Multi-task dialog act and sentiment recognition on Mastodon


Multi-time-horizon Solar Forecasting Using Recurrent Neural Network


Multi-view Banded Spectral Clustering with Application to ICD9 Clustering


Multi-view Integration Learning for Irregularly-sampled Clinical Time Series


Multi-view consensus CNN for 3D facial landmark placement


MultiFusion: Fusing Pre-Trained Models for Multi-Lingual, Multi-Modal Image Generation


MultiPath: Multiple Probabilistic Anchor Trajectory Hypotheses for Behavior Prediction


MultiSpeech: Multi-Speaker Text to Speech with Transformer


MultiVehicle Simulator (MVSim): lightweight dynamics simulator for multiagents and mobile robotics research


MultiVerse: Causal Reasoning using Importance Sampling in Probabilistic Programming


MultiWOZ 2.1: A Consolidated Multi-Domain Dialogue Dataset with State Corrections and State Tracking Baselines


Multiaccuracy: Black-Box Post-Processing for Fairness in Classification


Multiagent Rollout Algorithms and Reinforcement Learning


Multiclass classification of dephasing channels


Multicolumn Networks for Face Recognition


Multicores-periphery structure in networks


Multidimensional Outlier Detection in Temporal Interaction Networks: An Application to Political Communication on Twitter


Multigrid Methods for Discrete Fractional Sobolev Spaces


Multilayer Codes for Synchronization from Deletions


Multilevel mixed effects parametric survival analysis: Estimation, simulation and application


Multilinear Algebra for Distributed Storage


Multilingual Encoder Knows more than You Realize: Shared Weights Pretraining for Extremely Low-Resource Languages


Multilingual Image Description with Neural Sequence Models


Multilingual Named Entity Recognition Using Pretrained Embeddings, Attention Mechanism and NCRF


Multilingual Part-of-Speech Tagging with Bidirectional Long Short-Term Memory Models and Auxiliary Loss


Multilingual Stance Detection: The Catalonia Independence Corpus


Multilingual Twitter Sentiment Classification: The Role of Human Annotators


Multimodal Categorization of Crisis Events in Social Media


Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding


Multimodal Differential Network for Visual Question Generation


Multimodal Embeddings from Language Models


Multimodal Face Synthesis from Visual Attributes


Multimodal Feature Extraction and Fusion for Emotional Reaction Intensity Estimation and Expression Classification in Videos with Transformers


Multimodal Fusion Based Attentive Networks for Sequential Music Recommendation


Multimodal Fusion and Vision-Language Models: A Survey for Robot Vision


Multimodal Fusion with BERT and Attention Mechanism for Fake News Detection


Multimodal Hierarchical Dirichlet Process-based Active Perception


Multimodal Hypothetical Summary for Retrieval-based Multi-image Question Answering


Multimodal Industrial Anomaly Detection by Crossmodal Feature Mapping


Multimodal Learning for Just-In-Time Software Defect Prediction in Autonomous Driving Systems


Multimodal Memorability: Modeling Effects of Semantics and Decay on Video Memorability


Multimodal Parameter-Efficient Few-Shot Class Incremental Learning


Multimodal Search in Chemical Documents and Reactions


Multimodal Sensor Fusion In Single Thermal image Super-Resolution


Multimodal Sentiment Analysis using Hierarchical Fusion with Context Modeling


Multimodal Speech Emotion Recognition Using Audio and Text


Multimodal Trajectory Prediction via Topological Invariance for Navigation at Uncontrolled Intersections


Multimodal Transfer: A Hierarchical Deep Convolutional Neural Network for Fast Artistic Style Transfer


Multimodal Word Sense Disambiguation in Creative Practice


Multimodal semantic retrieval for product search


Multimodality-guided Image Style Transfer using Cross-modal GAN Inversion


Multiphase Flow Modelling in Multiscale Porous Media: An Open-Sourced Micro-Continuum Approach


Multiple Authors Detection: A Quantitative Analysis of Dream of the Red Chamber


Multiple Instance Detection Network with Online Instance Classifier Refinement


Multiple imputation using chained random forests: a preliminary study based on the empirical distribution of out-of-bag prediction errors


Multiple-scattering T-matrix simulations for nanophotonics: symmetries and periodic lattices


Multiplex Bipartite Network Embedding using Dual Hypergraph Convolutional Networks


Multiplex graph matching matched filters


Multiplicative Attribute Graph Model of Real-World Networks


Multiplicative Controller Fusion: Leveraging Algorithmic Priors for Sample-efficient Reinforcement Learning and Safe Sim-To-Real Transfer


Multiplicative LSTM for sequence modelling


Multiplying Matrices Without Multiplying


Multiresolution Analysis and Learning for Computational Seismic Interpretation


Multiresolution Kernel Approximation for Gaussian Process Regression


Multiresolution analysis of point processes and statistical thresholding for wavelet-based intensity estimation


Multiscale Combinatorial Grouping for Image Segmentation and Object Proposal Generation


Multiscale Elliptic PDEs Upscaling and Function Approximation via Subsampled Data


Multiscale Granger causality analysis by à trous wavelet transform


Multiscale Principle of Relevant Information for Hyperspectral Image Classification


Multiscale Residual Learning of Graph Convolutional Sequence Chunks for Human Motion Prediction


Multiscale Sparsifying Transform Learning for Image Denoising


Multiscale reweighted stochastic embedding (MRSE): Deep learning of collective variables for enhanced sampling


Multispectral Pedestrian Detection via Simultaneous Detection and Segmentation


Multitask Learning and Multistage Fusion for Dimensional Audiovisual Emotion Recognition


Multitask Learning for Emotion and Personality Detection


Multivariate Analysis of Mixed Data: The R Package PCAmixdata


Multivariate Convolutional Sparse Coding for Electromagnetic Brain Signals


Multivariate Density Estimation with Missing Data


Multivariate Interpolation in Unisolvent Nodes -- Lifting the Curse of Dimensionality


Multivariate Time Series Classification using Dilated Convolutional Neural Network


Multivariate Time-series Anomaly Detection via Graph Attention Network


Multivariate goodness-of-Fit tests based on Wasserstein distance


Multiwavelength Campaign Observations of a Young Solar-type Star, EK Draconis. II. Understanding Prominence Eruption through Data-Driven Modeling and Observed Magnetic Environment


Muon Simulations for Super-Kamiokande, KamLAND and CHOOZ


Muon g-2 vs LHC Run 2 in Supersymmetric Models


MuseCoco: Generating Symbolic Music from Text


MuseGAN: Multi-track Sequential Generative Adversarial Networks for Symbolic Music Generation and Accompaniment


Music Mood Detection Based On Audio And Lyrics With Deep Neural Net


Music Source Separation Using Stacked Hourglass Networks


Music Style Transfer with Time-Varying Inversion of Diffusion Models


MutaGAN: A Seq2seq GAN Framework to Predict Mutations of Evolving Protein Populations


Mutual Information Based Knowledge Transfer Under State-Action Dimension Mismatch


Mutual Information Gradient Estimation for Representation Learning


Mutual Reasoning Makes Smaller LLMs Stronger Problem-Solvers


MvMM-RegNet: A new image registration framework based on multivariate mixture model and neural network estimation


My tweets bring all the traits to the yard: Predicting personality and relational traits in Online Social Networks


Myopic Bayesian Design of Experiments via Posterior Sampling and Probabilistic Programming


N-Grammer: Augmenting Transformers with latent n-grams


N-ary Relation Extraction using Graph State LSTM


NAAQA: A Neural Architecture for Acoustic Question Answering


NAM: Non-Adversarial Unsupervised Domain Mapping


NAS-FCOS: Fast Neural Architecture Search for Object Detection


NAS-OoD: Neural Architecture Search for Out-of-Distribution Generalization


NASCUP: Nucleic Acid Sequence Classification by Universal Probability


NASH: Toward End-to-End Neural Architecture for Generative Semantic Hashing


NATS-Bench: Benchmarking NAS Algorithms for Architecture Topology and Size


NCAP: Scene Text Image Super-Resolution with Non-CAtegorical Prior


NCLS: Neural Cross-Lingual Summarization


NCRF++: An Open-source Neural Sequence Labeling Toolkit


NED: An Inter-Graph Node Metric Based On Edit Distance


NEO: Saving GPU Memory Crisis with CPU Offloading for Online LLM Inference


NESSi: The Non-Equilibrium Systems Simulation package


NEURO-DRAM: a 3D recurrent visual attention model for interpretable neuroimaging classification


NFT Wash Trading: Quantifying suspicious behaviour in NFT markets


NICE: To Optimize In-Context Examples or Not?


NIPS4Bplus: a richly annotated birdsong audio dataset


NL2Bash: A Corpus and Semantic Parser for Natural Language Interface to the Linux Operating System


NLNL: Negative Learning for Noisy Labels


NLP in Human Rights Research -- Extracting Knowledge Graphs About Police and Army Units and Their Commanders


NM-Net: Mining Reliable Neighbors for Robust Feature Correspondences


NOMAD: Non-locking, stOchastic Multi-machine algorithm for Asynchronous and Decentralized matrix completion


NPE: Neural Personalized Embedding for Collaborative Filtering


NR4DER: Neural Re-ranking for Diversified Exercise Recommendation


NRC-Canada: Building the State-of-the-Art in Sentiment Analysis of Tweets


NRPA: Neural Recommendation with Personalized Attention


NSClean: An Algorithm for Removing Correlated Noise from JWST NIRSpec Images


NTMpy: An open source package for solving coupled parabolic differential equations in the framework of the three-temperature model


NTopo: Mesh-free Topology Optimization using Implicit Neural Representations


NU-Wave: A Diffusion Probabilistic Model for Neural Audio Upsampling


NUBIA: NeUral Based Interchangeability Assessor for Text Generation


NVC-Net: End-to-End Adversarial Voice Conversion


NWR: Rethinking Thomas Write Rule for Omittable Write Operations


NWT: Towards natural audio-to-video generation with representation learning


Naive Bayes Classification for Subset Selection


Nalin: Learning from Runtime Behavior to Find Name-Value Inconsistencies in Jupyter Notebooks


Name Disambiguation in Anonymized Graphs using Network Embedding


Named Entity Recognition and Classification on Historical Documents: A Survey


Named Entity Recognition for Nepali Language


Named Entity Recognition with Extremely Limited Data


Nanophotonic Particle Simulation and Inverse Design Using Artificial Neural Networks


Nass: A New Approach to Graph Similarity Search


Nationality Classification Using Name Embeddings


Native Fortran Implementation of TensorFlow-Trained Deep and Bayesian Neural Networks


Natural Adversarial Sentence Generation with Gradient-based Perturbation


Natural Inflation with non minimal coupling to gravity in $R^2$ gravity under the Palatini formalism


Natural Language Descriptions of Deep Visual Features


Natural Language Processing Advancements By Deep Learning: A Survey


Natural Language Processing Models That Automate Programming Will Transform Chemistry Research and Teaching


Natural Language Processing for Music Knowledge Discovery


Natural evolution strategies and variational Monte Carlo


NaturalCodeBench: Examining Coding Performance Mismatch on HumanEval and Natural User Prompts


NaturalSpeech 2: Latent Diffusion Models are Natural and Zero-Shot Speech and Singing Synthesizers


NaturalSpeech 3: Zero-Shot Speech Synthesis with Factorized Codec and Diffusion Models


NaturalSpeech: End-to-End Text to Speech Synthesis with Human-Level Quality


Naturalistic Driver Intention and Path Prediction using Recurrent Neural Networks


Naturalness Sum Rules and Their Collider Tests


NeILF: Neural Incident Light Field for Physically-based Material Estimation


NeXtVLAD: An Efficient Neural Network to Aggregate Frame-level Features for Large-scale Video Classification


Near, far, wherever you are: simulations on the dose efficiency of holographic and ptychographic coherent imaging


Near-Field Joint Localization and Synchronization


Near-Optimal Active Learning of Multi-Output Gaussian Processes


Near-Optimal Edge Evaluation in Explicit Generalized Binomial Graphs


Near-miss Identities and Spinor Genus Classification of Ternary Quadratic Forms with Congruence Conditions


Near-optimal sampling strategies for multivariate function approximation on general domains


Near-real-time Earthquake-induced Fatality Estimation using Crowdsourced Data and Large-Language Models


Nearest Centroid Classification on a Trapped Ion Quantum Computer


Nearest Neighbor Classifiers over Incomplete Information: From Certain Answers to Certain Predictions


Nearest Neighbor and Kernel Survival Analysis: Nonasymptotic Error Bounds and Strong Consistency Rates


Nearest Neighbor distributions: new statistical measures for cosmological clustering


Nearest Neighbour Few-Shot Learning for Cross-lingual Classification


Nebular Attenuation in Hα-selected Star-forming Galaxies at z=0.8 from the NewHα Survey


NeeDrop: Self-supervised Shape Representation from Sparse Point Clouds using Needle Dropping


Negative Selection Algorithm Research and Applications in the last decade: A Review


Negative refraction and tiling billiards


Negative sampling in semi-supervised learning


Neighbor-Vote: Improving Monocular 3D Object Detection through Neighbor Distance Voting


Neighborhood-Enhanced Supervised Contrastive Learning for Collaborative Filtering


NekRS, a GPU-Accelerated Spectral Element Navier-Stokes Solver


Nested Kriging predictions for datasets with large number of observations


Nested Multiple Instance Learning with Attention Mechanisms


NetTrack: Tracking Highly Dynamic Objects with a Net


Network Dependence Can Lead to Spurious Associations and Invalid Inference


Network Design for Controllability Metrics


Network Embedding: on Compression and Learning


Network Plasticity as Bayesian Inference


Network Recasting: A Universal Method for Network Architecture Transformation


Network-Based Analysis of Public Transportation Systems in North American Cities


Network-based protein structural classification


NeuRIS: Neural Reconstruction of Indoor Scenes Using Normal Priors


NeuSample: Neural Sample Field for Efficient View Synthesis


NeuTex: Neural Texture Mapping for Volumetric Neural Rendering


Neumann eigenmaps for landmark embedding


NeurReg: Neural Registration and Its Application to Image Segmentation


Neural Adaptation Layers for Cross-domain Named Entity Recognition


Neural Arabic Text Diacritization: State of the Art Results and a Novel Approach for Machine Translation


Neural Architectures for Nested NER through Linearization


Neural Best-Buddies: Sparse Cross-Domain Correspondence


Neural Chinese Named Entity Recognition via CNN-LSTM-CRF and Joint Training with Word Segmentation


Neural Contextual Bandits with UCB-based Exploration


Neural Contraction Metrics for Robust Estimation and Control: A Convex Optimization Approach


Neural Ctrl-F: Segmentation-free Query-by-String Word Spotting in Handwritten Manuscript Collections


Neural Data-Dependent Transform for Learned Image Compression


Neural Document Expansion with User Feedback


Neural Document Summarization by Jointly Learning to Score and Select Sentences


Neural Domain Adaptation for Biomedical Question Answering


Neural Enhanced Belief Propagation on Factor Graphs


Neural Flow Diffusion Models: Learnable Forward Process for Improved Diffusion Modelling


Neural Game Engine: Accurate learning of generalizable forward models from pixels


Neural Gas Network Image Features and Segmentation for Brain Tumor Detection Using Magnetic Resonance Imaging Data


Neural Generation of Regular Expressions from Natural Language with Minimal Domain Knowledge


Neural Graph Embedding Methods for Natural Language Processing


Neural Implicit Surfaces for Efficient and Accurate Collisions in Physically Based Simulations


Neural Kinematic Networks for Unsupervised Motion Retargetting


Neural Language Correction with Character-Based Attention


Neural Machine Translation Quality and Post-Editing Performance


Neural Machine Translation and Sequence-to-sequence Models: A Tutorial


Neural Machine Translation for Low-Resourced Indian Languages


Neural Naturalist: Generating Fine-Grained Image Comparisons


Neural Network Attribution Methods for Problems in Geoscience: A Novel Synthetic Benchmark Dataset


Neural Network Attributions: A Causal Perspective


Neural Network Based Speaker Classification and Verification Systems with Enhanced Features


Neural Network Distiller: A Python Package For DNN Compression Research


Neural Network Libraries: A Deep Learning Framework Designed from Engineers' Perspectives


Neural Network Operations and Susuki-Trotter evolution of Neural Network States


Neural Network Pruning with Residual-Connections and Limited-Data


Neural Network Training with Highly Incomplete Datasets


Neural Network-based Graph Embedding for Cross-Platform Binary Code Similarity Detection


Neural Networks Trained on Natural Scenes Exhibit Gestalt Closure


Neural Networks as Geometric Chaotic Maps


Neural ODEs as the Deep Limit of ResNets with constant weights


Neural Optimizer Search with Reinforcement Learning


Neural Point Cloud Rendering via Multi-Plane Projection


Neural Program Repair with Execution-based Backpropagation


Neural Program Synthesis with Priority Queue Training


Neural Proximal Gradient Descent for Compressive Imaging


Neural RGB->D Sensing: Depth and Uncertainty from a Video Camera


Neural Ranking Models with Weak Supervision


Neural Rejuvenation: Improving Deep Network Training by Enhancing Computational Resource Utilization


Neural Reprojection Error: Merging Feature Learning and Camera Pose Estimation


Neural Scene Decomposition for Multi-Person Motion Capture


Neural Sculpting: Uncovering hierarchically modular task structure in neural networks through pruning and network analysis


Neural Segmental Hypergraphs for Overlapping Mention Recognition


Neural Spatio-Temporal Beamformer for Target Speech Separation


Neural Speech Synthesis on a Shoestring: Improving the Efficiency of LPCNet


Neural Speech Synthesis with Transformer Network


Neural State Classification for Hybrid Systems


Neural Summarization by Extracting Sentences and Words


Neural Synchronization based Secret Key Exchange over Public Channels: A survey


Neural Tangent Kernel: Convergence and Generalization in Neural Networks


Neural Task Programming: Learning to Generalize Across Hierarchical Tasks


Neural Temporal-Difference and Q-Learning Provably Converge to Global Optima


Neural Text Generation from Structured Data with Application to the Biography Domain


Neural Topic Modeling with Large Language Models in the Loop


Neural Unsigned Distance Fields for Implicit Function Learning


Neural Volumes: Learning Dynamic Renderable Volumes from Images


Neural Wikipedian: Generating Textual Summaries from Knowledge Base Triples


Neural graphical modelling in continuous-time: consistency guarantees and algorithms


Neural network interpretability for forecasting of aggregated renewable generation


Neural network models and deep learning - a primer for biologists


Neural network processing of holographic images


Neural network reconstructions for the Hubble parameter, growth rate and distance modulus


Neural networks for stock price prediction


Neural reparameterization improves structural optimization


Neural-Logic Human-Object Interaction Detection


Neural-Symbolic Descriptive Action Model from Images: The Search for STRIPS


Neural-Symbolic VQA: Disentangling Reasoning from Vision and Language Understanding


Neural-trust-region algorithm for unconstrained optimization (Part 1)


NeuralSVG: An Implicit Representation for Text-to-Vector Generation


NeuroVoz: a Castillian Spanish corpus of parkinsonian speech


NeuroX: A Toolkit for Analyzing Individual Neurons in Neural Networks


Neuromorphic Hardware In The Loop: Training a Deep Spiking Network on the BrainScaleS Wafer-Scale System


Neutrino emission from magnetized micro-quasar jets


Neutron reflectometry analysis: using model-dependent methods


Never Give Up: Learning Directed Exploration Strategies


New CAST Limit on the Axion-Photon Interaction


New Density Evolution Approximation for LDPC and Multi-Edge Type LDPC Codes


New Insights into Rental Housing Markets across the United States: Web Scraping and Analyzing Craigslist Rental Listings


New approaches in agent-based modeling of complex financial systems


New constructions for the $n$-queens problem


New evolutionary models for pre-main sequence and main sequence low-mass stars down to the hydrogen-burning limit


New explicit solution to the N-Queens Problem and its relation to the Millennium Problem


New insights and perspectives on the natural gradient method


Newton methods for k-order Markov Constrained Motion Problems


Newton vs the machine: solving the chaotic three-body problem using deep neural networks


Next Basket Prediction using Recurring Sequential Patterns


Next Token Is Enough: Realistic Image Quality and Aesthetic Scoring with Multimodal Large Language Model


Next-to-Leading Order Jet Physics with BlackHat


Next3D: Generative Neural Texture Rasterization for 3D-Aware Head Avatars


Nilpotent matrices having a given Jordan type as maximum commuting nilpotent orbit


NimbRo-OP2X: Adult-sized Open-source 3D Printed Humanoid Robot


Nine Best Practices for Research Software Registries and Repositories: A Concise Guide


Ninja: Automated Integrand Reduction via Laurent Expansion for One-Loop Amplitudes


No Blind Spots: Full-Surround Multi-Object Tracking for Autonomous Vehicles using Cameras & LiDARs


No More Manual Tests? Evaluating and Improving ChatGPT for Unit Test Generation


No Padding Please: Efficient Neural Handwriting Recognition


No Reason for No Supervision: Improved Generalization in Supervised Models


No Time for Dead Time: Timing analysis of bright black hole binaries with NuSTAR


No evidence for dust B-mode decorrelation in Planck data


No galaxy left behind: accurate measurements with the faintest objects in the Dark Energy Survey


No-Regret Learning in Unknown Games with Correlated Payoffs


NoVo: Norm Voting off Hallucinations with Attention Heads in Large Language Models


Nodal discontinuous Galerkin methods for fractional diffusion equations on 2D domain with triangular meshes


Node-Centric Detection of Overlapping Communities in Social Networks


NodePiece: Compositional and Parameter-Efficient Representations of Large Knowledge Graphs


Noise-Resilient Unsupervised Graph Representation Learning via Multi-Hop Feature Quality Estimation


Noise-Tolerant Learning, the Parity Problem, and the Statistical Query Model


Noisier2Noise: Learning to Denoise from Unpaired Noisy Data


NoisyRollout: Reinforcing Visual Reasoning with Data Augmentation


Non Verbis, Sed Rebus: Large Language Models are Weak Solvers of Italian Rebuses


Non-Boolean Quantum Amplitude Amplification and Quantum Mean Estimation


Non-Contrastive Learning Meets Language-Image Pre-Training


Non-Gaussianity and the induced gravitational wave background


Non-Linear Trajectory Optimization for Large Step-Ups: Application to the Humanoid Robot Atlas


Non-Parallel Voice Conversion with Cyclic Variational Autoencoder


Non-Stationary Multi-layered Gaussian Priors for Bayesian Inversion


Non-Stationary Texture Synthesis by Adversarial Expansion


Non-Turing computations via Malament-Hogarth space-times


Non-contact Infant Sleep Apnea Detection


Non-contact photoplethysmogram and instantaneous heart rate estimation from infrared face video


Non-convex optimization for self-calibration of direction-dependent effects in radio interferometric imaging


Non-cooperative Aerial Base Station Placement via Stochastic Optimization


Non-equilibrium rate heterogeneity explains fat-tailed fluctuations in Phanerozoic biodiversity


Non-intrusive implementation of Multiscale Finite Element Methods: an illustrative example


Non-linear Pattern Matching with Backtracking for Non-free Data Types


Non-linear motor control by local learning in spiking neural networks


Non-local Meets Global: An Integrated Paradigm for Hyperspectral Denoising


Non-negative Factorization of the Occurrence Tensor from Financial Contracts


Non-parametric Archimedean generator estimation with implications for multiple testing


Non-parametric Bayesian modelling of digital gene expression data


Non-parametric efficient causal mediation with intermediate confounders


Non-proportional hazards in immuno-oncology: is an old perspective needed?


Non-rigid image registration using fully convolutional networks with deep self-supervision


Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting


Non-uniform Blur Kernel Estimation via Adaptive Basis Decomposition


Nonequilibrium Time Reversibility with Maps and Walks


Nonlinear Covariance Steering using Variational Gaussian Process Predictive Models


Nonlinear Level Set Learning for Function Approximation on Sparse Data with Applications to Parametric Differential Equations


Nonlinear Time Series Classification Using Bispectrum-based Deep Convolutional Neural Networks


Nonlinear algebra via tensegrity structures


Nonlinear fractional waves at elastic interfaces


Nonlinear network-based quantitative trait prediction from transcriptomic data


Nonlinear price impact from linear models


NonlinearSchrodinger: Higher-Order Algorithms and Darboux Transformations for Nonlinear Schrödinger Equations


Nonlocality-Reinforced Convolutional Neural Networks for Image Denoising


Nonnegative Decomposition of Multivariate Information


Nonparametric Factor Trajectory Learning for Dynamic Tensor Decomposition


Nonparametric Modeling of Dynamic Functional Connectivity in fMRI Data


Nonparametric Spherical Topic Modeling with Word Embeddings


Nonparametric inverse probability weighted estimators based on the highly adaptive lasso


Nonparametric semi-supervised learning of class proportions


Nonperturbative infrared finiteness in super-renormalisable scalar quantum field theory


NormTab: Improving Symbolic Reasoning in LLMs Through Tabular Data Normalization


Normalizing Flows are Capable Generative Models


Normalizing Flows for Probabilistic Modeling and Inference


Normalizing Flows: An Introduction and Review of Current Methods


Nose, eyes and ears: Head pose estimation by locating facial keypoints


Not All Attention Is Needed: Gated Attention Network for Sequence Data


Not All Features Are Equal: Feature Leveling Deep Neural Networks for Better Interpretation


Not All Pixels Are Equal: Difficulty-aware Semantic Segmentation via Deep Layer Cascade


Not All Relevance Scores are Equal: Efficient Uncertainty and Calibration Modeling for Deep Retrieval Models


NotaGen: Advancing Musicality in Symbolic Music Generation with Large Language Model Training Paradigms


Note on Computing Ratings from Eigenvectors


Now that I can see, I can improve: Enabling data-driven finetuning of CNNs on the edge


Nth Order Analytical Time Derivatives of Inverse Dynamics in Recursive and Closed Forms


NuPlan: A closed-loop ML-based planning benchmark for autonomous vehicles


Nuclear penalized multinomial regression with an application to predicting at bat outcomes in baseball


Nucleation is More than Critical -- A Case Study of the Electroweak Phase Transition in the NMSSM


Nuclei instance segmentation and classification in histopathology images with StarDist


Null-text Inversion for Editing Real Images using Guided Diffusion Models


Number counts, confusion, mapping issues and sky coverage analysis for radio continuum surveys through EMU Early Science, EMU-ASKAP, and WODAN especially for cosmology science goals


Number-resolved photocounter for propagating microwave mode


Numeracy for Language Models: Evaluating and Improving their Ability to Predict Numbers


Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations


Numerical Methods and Causality in Physics


Numerical Methods for Stochastic Differential Equations


Numerical Study of Nonlinear Dispersive Wave Models with SpecTraVVave


Numerical Techniques for Finding the Distances of Quantum Codes


Numerical analysis of a wave equation for lossy media obeying a frequency power law


Numerical approximation of optimal convex shapes


Numerical approximation of statistical solutions of scalar conservation laws


Numerical bifurcation analysis of renewal equations via pseudospectral approximation


Numerical evaluation of the transition probability of the simple birth-and-death process


Numerical investigation of minimum drag profiles in laminar flow using deep learning surrogates


Numerical modeling of wing crack propagation accounting for fracture contact mechanics


Numerical relativity in spherical coordinates with the Einstein Toolkit


Numerical relativity simulation of GW150914 in Einstein dilaton Gauss-Bonnet gravity


Numerical semigroups, polyhedra, and posets I: the group cone


Numerical simulations for full history recursive multilevel Picard approximations for systems of high-dimensional partial differential equations


Numerical stability analysis of shock-capturing methods for strong shocks I: second-order MUSCL schemes


Numerical turbulence simulations of intermittent fluctuations in the scrape-off layer of magnetized plasmas


Numerically Stable Polynomially Coded Computing


NyayaAnumana & INLegalLlama: The Largest Indian Legal Judgment Prediction Dataset and Specialized Language Model for Enhanced Decision Analysis


O-TPT: Orthogonality Constraints for Calibrating Test-time Prompt Tuning in Vision-Language Models


O2O-Afford: Annotation-Free Large-Scale Object-Object Affordance Learning


OBJECT 3DIT: Language-guided 3D-aware Image Editing


OBTAIN: Real-Time Beat Tracking in Audio Signals


OCMR (v1.0)--Open-Access Multi-Coil k-Space Dataset for Cardiovascular Magnetic Resonance Imaging


OCR Post Correction for Endangered Language Texts


OCSampler: Compressing Videos to One Clip with Single-step Sampling


ODAM: Gradient-based instance-specific visual explanations for object detection


ODDN: Addressing Unpaired Data Challenges in Open-World Deepfake Detection on Online Social Networks


ODIN: Disentangled Reward Mitigates Hacking in RLHF


ODT Flow Explorer: Extract, Query, and Visualize Human Mobility


OFF-CLIP: Improving Normal Detection Confidence in Radiology CLIP with Simple Off-Diagonal Term Auto-Adjustment


OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs


OICSR: Out-In-Channel Sparsity Regularization for Compact Deep Neural Networks


OLED: One-Class Learned Encoder-Decoder Network with Adversarial Context Masking for Novelty Detection


OLMo: Accelerating the Science of Language Models


OPAM: Online Purchasing-behavior Analysis using Machine learning


OPT: Omni-Perception Pre-Trainer for Cross-Modal Understanding and Generation


OPTIMADE, an API for exchanging materials data


OR-Gym: A Reinforcement Learning Library for Operations Research Problems


ORBBuf: A Robust Buffering Method for Remote Visual SLAM


ORES: Lowering Barriers with Participatory Machine Learning in Wikipedia


ORIGAMI: Delineating Halos using Phase-Space Folds


OSCAR: Data-Driven Operational Space Control for Adaptive and Robust Robot Manipulation


OSDG -- Open-Source Approach to Classify Text Data by UN Sustainable Development Goals (SDGs)


OSRE: Object-to-Spot Rotation Estimation for Bike Parking Assessment


OV: Validity-based Optimistic Smart Contracts


Objaverse-XL: A Universe of 10M+ 3D Objects


Object Attribute Matters in Visual Question Answering


Object Captioning and Retrieval with Natural Language


Object Contour and Edge Detection with RefineContourNet


Object Counting and Instance Segmentation with Image-level Supervision


Object Detection for Comics using Manga109 Annotations


Object Detection in Videos with Tubelet Proposal Networks


Object Detection with Deep Reinforcement Learning


Object Discovery From a Single Unlabeled Image by Mining Frequent Itemset With Multi-scale Features


Object Discovery with a Copy-Pasting GAN


Object Rearrangement Using Learned Implicit Collision Functions


Object Recognition with and without Objects


Object Tracking by Jointly Exploiting Frame and Event Domain


Object discovery and representation networks


Object-Centric Image to Video Generation with Language Guidance


Object-centric Auto-encoders and Dummy Anomalies for Abnormal Event Detection in Video


Object-driven Text-to-Image Synthesis via Adversarial Training


Objective Metrics to Evaluate Residual-Echo Suppression During Double-Talk


Objective Momentum Barriers in Wall Turbulence


Objective Priors in the Empirical Bayes Framework


Objective discovery of dominant dynamical processes with intelligible machine learning


Obligations and permissions, algebraically


Obliquities of Kepler Stars: Comparison of Single- and Multiple-Transit Systems


Observation data pre-processing and scientific data products generation of POLAR


Observation of Beam Spin Asymmetries in the Process $e p \rightarrow e π^{+}π^{-}X$ with CLAS12


Observation of Gravitational Waves from a Binary Black Hole Merger


Observation of Time-Crystalline Eigenstate Order on a Quantum Processor


Observation-Centric SORT: Rethinking SORT for Robust Multi-Object Tracking


Observational constraints on dark matter scattering with electrons


Observations of Reconnection Flows in a Flare on the Solar Disk


Observing the host galaxies of high-redshift quasars with JWST: predictions from the BlueTides simulation


Obstacle Avoidance and Navigation Utilizing Reinforcement Learning with Reward Shaping


Occipital and left temporal instantaneous amplitude and frequency oscillations correlated with access and phenomenal consciousness


Occluded Face Recognition Using Low-rank Regression with Generalized Gradient Direction


Occluded Prohibited Items Detection: an X-ray Security Inspection Benchmark and De-occlusion Attention Module


Occluded Video Instance Segmentation: A Benchmark


Occlusion Robust Face Recognition Based on Mask Learning with PairwiseDifferential Siamese Network


Occlusion-Invariant Rotation-Equivariant Semi-Supervised Depth Based Cross-View Gait Pose Estimation


Occupational Retirement and Pension Reform: The Roles of Physical and Cognitive Health


Off The Beaten Sidewalk: Pedestrian Prediction In Shared Spaces For Autonomous Vehicles


Off-Dynamics Reinforcement Learning: Training for Transfer with Domain Classifiers


Off-Policy RL Algorithms Can be Sample-Efficient for Continuous Control via Sample Multiple Reuse


Off-policy Bandits with Deficient Support


Offline Reinforcement Learning as One Big Sequence Modeling Problem


Offline Reinforcement Learning from Images with Latent Space Models


Offline Reinforcement Learning with Reverse Model-based Imagination


Offline Reinforcement Learning with Value-based Episodic Memory


Offline Runtime Verification of Safety Requirements using CSP


Offline and Online calibration of Mobile Robot and SLAM Device for Navigation


Old Photo Restoration via Deep Latent Space Translation


Olive Oil is Made of Olives, Baby Oil is Made for Babies: Interpreting Noun Compounds using Paraphrases in a Neural Model


OmniHang: Learning to Hang Arbitrary Objects using Contact Point Correspondences and Neural Collision Estimation


OmniNet: Omnidirectional Representations from Transformers


OmniObject3D: Large-Vocabulary 3D Object Dataset for Realistic Perception, Reconstruction and Generation


OmniParser for Pure Vision Based GUI Agent


OmniStyle: Filtering High Quality Style Transfer Data at Scale


On "A Homogeneous Interior-Point Algorithm for Non-Symmetric Convex Conic Optimization"


On (The Lack Of) Location Privacy in Crowdsourcing Applications


On (the Lack of) Code Confidentiality in Trusted Execution Environments


On Adversarial Bias and the Robustness of Fair Machine Learning


On Bayesian quantile regression and outliers


On Catastrophic Forgetting and Mode Collapse in Generative Adversarial Networks


On Causal Discovery with Equal Variance Assumption


On Classifying Sepsis Heterogeneity in the ICU: Insight Using Machine Learning


On Complex Valued Convolutional Neural Networks


On Constrained Spectral Clustering and Its Applications


On Creating Benchmark Dataset for Aerial Image Interpretation: Reviews, Guidances and Million-AID


On Deep Multi-View Representation Learning: Objectives and Optimization


On Detection of Faint Edges in Noisy Images


On Equivariant and Invariant Learning of Object Landmark Representations


On Evaluation of Embodied Navigation Agents


On Extractive and Abstractive Neural Document Summarization with Transformer Language Models


On Fast Dropout and its Applicability to Recurrent Networks


On Generating Plausible Counterfactual and Semi-Factual Explanations for Deep Learning


On Global-local Shrinkage Priors for Count Data


On Graduated Optimization for Stochastic Non-Convex Problems


On How Kelsenian Jurisprudence and Intuitionistic Logic help to avoid Contrary-to-Duty paradoxes in Legal Ontologies


On Image segmentation using Fractional Gradients-Learning Model Parameters using Approximate Marginal Inference


On Kalman-Bucy filters, linear quadratic control and active inference


On Landau-Siegel zeros and heights of singular moduli


On Layer Normalization in the Transformer Architecture


On Learning Associations of Faces and Voices


On Learning the Geodesic Path for Incremental Learning


On Loss Functions for Deep Neural Networks in Classification


On Markov chain Monte Carlo methods for tall data


On Mutual Information Maximization for Representation Learning


On Non-Generic Finite Subgroups of Exceptional Algebraic Groups


On Physical Adversarial Patches for Object Detection


On Positive-Unlabeled Classification in GAN


On Prediction Using Variable Order Markov Models


On Preempting Advanced Persistent Threats Using Probabilistic Graphical Models


On Recognizing Texts of Arbitrary Shapes with 2D Self-Attention


On Regularization Parameter Estimation under Covariate Shift


On Sample Based Explanation Methods for NLP:Efficiency, Faithfulness, and Semantic Evaluation


On Second Order Behaviour in Augmented Neural ODEs


On Second order correctness of Bootstrap in Logistic Regression


On Smoothing and Inference for Topic Models


On Symmetric Losses for Learning from Corrupted Labels


On Unbalanced Optimal Transport: An Analysis of Sinkhorn Algorithm


On Uncertainties in Cross-Correlation Lags and the Reality of Wavelength-Dependent Continuum Lags in Active Galactic Nuclei


On Using Stack Overflow Comment-Edit Pairs to recommend code maintenance changes


On Wasserstein Two Sample Testing and Related Families of Nonparametric Tests


On an enhancement of RNA probing data using Information Theory


On an extension of the promotion time cure model


On classical upper bounds for slice genera


On computing non-equilibrium dynamics following a quench


On constraining projections of future climate using observations and simulations from multiple climate models


On determining the shape of matter distributions


On efficient asymptotic modelling of thin films on thermally conductive substrates


On generalization of reversible second-order cellular automata


On genetic correlation estimation with summary statistics from genome-wide association studies


On gravitational-wave spectroscopy of massive black holes with the space interferometer LISA


On kissing numbers and spherical codes in high dimensions


On learning an interpreted language with recurrent models


On learning optimized reaction diffusion processes for effective image restoration


On left-orderability and double branched covers of Kanenobu's knots


On optimal tests for rotational symmetry against new classes of hyperspherical distributions


On oracle-type local recovery guarantees in compressed sensing


On semiclassical and universal inequalities for eigenvalues of quantum graphs


On semidefinite relaxations for the block model


On some neural network architectures that can represent viscosity solutions of certain high dimensional Hamilton--Jacobi partial differential equations


On stochastic differential equation models for ion channel noise in Hodgkin-Huxley neurons


On structural contraction of biological interaction networks


On the "steerability" of generative adversarial networks


On the Arbitrary-Oriented Object Detection: Classification based Approaches Revisited


On the Benefit of Combining Neural, Statistical and External Features for Fake News Identification


On the Benefits of Multiple Gossip Steps in Communication-Constrained Decentralized Optimization


On the Capacity of the Peak Power Constrained Vector Gaussian Channel: An Estimation Theoretic Perspective


On the Communication of Scientific Results: The Full-Metadata Format


On the Computational Efficiency of Training Neural Networks


On the Coordinate System of Space-Weather HMI Active Region Patches (SHARPs): A Technical Note


On the Cross-lingual Transferability of Monolingual Representations


On the Diversity of Realistic Image Synthesis


On the Effectiveness of Discretizing Quantitative Attributes in Linear Classifiers


On the Efficient Evaluation of the Exchange Correlation Potential on Graphics Processing Unit Clusters


On the Embeddings of Variables in Recurrent Neural Networks for Source Code


On the Equivalence Between Temporal and Static Graph Representations for Observational Predictions


On the Equivalence between Positional Node Embeddings and Structural Graph Representations


On the Erdős primitive set conjecture in function fields


On the Error Analysis of 3D Gaussian Splatting and an Optimal Projection Strategy


On the Evaluation and Real-World Usage Scenarios of Deep Vessel Segmentation for Retinography


On the Expectation of a Persistence Diagram by the Persistence Weighted Kernel


On the Global Linear Convergence of Frank-Wolfe Optimization Variants


On the Hecke algebras and the colored HOMFLY polynomial


On the Heterogeneous Distributions in Paper Citations


On the Implementation of the 0-1 Test for Chaos


On the Importance of Electroweak Corrections for Majorana Dark Matter Indirect Detection


On the Importance of Reward Design in Reinforcement Learning-based Dynamic Algorithm Configuration: A Case Study on OneMax with (1+($λ$,$λ$))-GA


On the Ineffectiveness of Variance Reduced Optimization for Deep Learning


On the Instability of Sensor Orientation in Gait Verification on Mobile Phone


On the Interaction Effects Between Prediction and Clustering


On the Intrinsic Dimensionality of Image Representations


On the Just-In-Time Discovery of Profit-Generating Transactions in DeFi Protocols


On the K-theory of crossed products by automorphic semigroup actions


On the Minimization of Sobolev Norms of Time-Varying Graph Signals: Estimation of New Coronavirus Disease 2019 Cases


On the Nature of the C IV-bearing Circumgalactic Medium at z~1


On the Number of Linear Regions of Convolutional Neural Networks


On the Opportunities and Risks of Foundation Models


On the Optimal Reconstruction of Partially Observed Functional Data


On the Performance Analysis of Momentum Method: A Frequency Domain Perspective


On the Performance of ConvNet Features for Place Recognition


On the Performance of Differential Evolution for Hyperparameter Tuning


On the Performance of Multi-Instrument Solar Flare Observations During Solar Cycle 24


On the Permanence of Vertices in Network Communities


On the Potential of Simple Framewise Approaches to Piano Transcription


On the Power of Over-parametrization in Neural Networks with Quadratic Activation


On the Practical Computational Power of Finite Precision RNNs for Language Recognition


On the Practicality of Deterministic Epistemic Uncertainty


On the Real-World Adversarial Robustness of Real-Time Semantic Segmentation Models for Autonomous Driving


On the Reconstruction of Geodesic Subspaces of $\mathbb{R}^N$


On the Relationship between Dust Devil Radii and Heights


On the Robustness and Scalability of Semidefinite Relaxation for Optimal Power Flow Problems


On the Robustness of the Acoustic Scale in the Low-Redshift Clustering of Matter


On the Sample Complexity of Privately Learning Axis-Aligned Rectangles


On the Scalability of Data Reduction Techniques in Current and Upcoming HPC Systems from an Application Perspective


On the Soft-Subnetwork for Few-shot Class Incremental Learning


On the TOCTOU Problem in Remote Attestation


On the Transferability of Adversarial Examples Against CNN-Based Image Forensics


On the Unusual Effectiveness of Type-aware Mutations for Testing SMT Solvers


On the Utility of Koopman Operator Theory in Learning Dexterous Manipulation Skills


On the Utility of Learning about Humans for Human-AI Coordination


On the Validity of Modeling SGD with Stochastic Differential Equations (SDEs)


On the Vulnerability of Capsule Networks to Adversarial Attacks


On the Waring rank of binary forms: The binomial formula and a dihedral cover of rank two forms


On the Whitney near extension problem, BMO, alignment of data, best approximation in algebraic geometry, manifold learning and their beautiful connections: A modern treatment


On the application of Sylvester's law of inertia to QUBO formulations for systems of linear equations


On the application of radio frequency voltages to ion traps via helical resonators


On the arithmetic dimension of triangle groups


On the brachistochrone of a fluid-filled cylinder


On the cohomology rings of real flag manifolds: Schubert cycles


On the contribution of quiet Sun magnetism to solar irradiance variations: Constraints on quiet Sun variability and grand minimum scenarios


On the convergence of adaptive approximations for stochastic differential equations


On the convergence of the MLE as an estimator of the learning rate in the Exp3 algorithm


On the effects of biased quantum random numbers on the initialization of artificial neural networks


On the extraction of instantaneous frequencies from ridges in time-frequency representations of signals


On the formalization of Asynchronous First Passage Algorithms


On the function describing the stellar initial mass function


On the impact of publicly available news and information transfer to financial markets


On the importance of single directions for generalization


On the instability of embeddings for recommender systems: the case of Matrix Factorization


On the interaction between Autonomous Mobility-on-Demand systems and the power network: models and coordination algorithms


On the iterative refinement of densely connected representation levels for semantic segmentation


On the linkability of Zcash transactions


On the neighborliness of dual flow polytopes of quivers


On the number of inequivalent monotone Boolean functions of 8 variables


On the onset of synchronization of Kuramoto oscillators in scale-free networks


On the optimal calibration of VVV photometry


On the probability of being synchronizable


On the reduction of generalized polylogarithms to $\text{Li}_n$ and $\text{Li}_{2,2}$ and on the evaluation thereof


On the static effective Hamiltonian of a rapidly driven nonlinear system


On the training dynamics of deep networks with $L_2$ regularization


On the uniform accuracy of implicit-explicit backward differentiation formulas (IMEX-BDF) for stiff hyperbolic relaxation systems and kinetic equations


On the use of Pairwise Distance Learning for Brain Signal Classification with Limited Observations


On the use of conformal maps for the acceleration of convergence of the trapezoidal rule and Sinc numerical methods


On weakly turbulent instability of anti-de Sitter space


On-Demand Trajectory Predictions for Interaction Aware Highway Driving


On-Line Learning of Linear Dynamical Systems: Exponential Forgetting in Kalman Filters


On-Policy Fine-grained Knowledge Feedback for Hallucination Mitigation


On-chip sampling of optical fields with attosecond resolution


On-the-fly Operation Batching in Dynamic Computation Graphs


On-the-fly algorithm for Dynamic Mode Decomposition using Incremental Singular Value Decomposition and Total Least Squares


Once-for-All: Train One Network and Specialize it for Efficient Deployment


One Class Splitting Criteria for Random Forests


One Fits All:Power General Time Series Analysis by Pretrained LM


One Loss for Quantization: Deep Hashing with Discrete Wasserstein Distributional Matching


One Million Scenes for Autonomous Driving: ONCE Dataset


One Network to Solve All ROIs: Deep Learning CT for Any ROI using Differentiated Backprojection


One Network to Solve Them All --- Solving Linear Inverse Problems using Deep Projection Models


One ticket to win them all: generalizing lottery ticket initializations across datasets and optimizers


One weird trick for parallelizing convolutional neural networks


One-4-All: Neural Potential Fields for Embodied Navigation


One-Class Learning with Adaptive Centroid Shift for Audio Deepfake Detection


One-Dimensional Adapter to Rule Them All: Concepts, Diffusion Models and Erasing Applications


One-Shot Imitation from Observing Humans via Domain-Adaptive Meta-Learning


One-Shot Speaker Identification for a Service Robot using a CNN-based Generic Verifier


One-Shot Transfer Learning of Physics-Informed Neural Networks


One-Shot Visual Imitation Learning via Meta-Learning


One-shot Face Recognition by Promoting Underrepresented Classes


One-shot recognition of any material anywhere using contrastive learning with physics-based rendering


One-step Diffusion with Distribution Matching Distillation


One-step ahead sequential Super Learning from short times series of many slightly dependent data, and anticipating the cost of natural disasters


OneDataShare: A Vision for Cloud-hosted Data Transfer Scheduling and Optimization as a Service


OneFormer3D: One Transformer for Unified Point Cloud Segmentation


Onesweep: A Faster Least Significant Digit Radix Sort for GPUs


Onion-Peel Networks for Deep Video Completion


Online Adaptive Policy Selection in Time-Varying Systems: No-Regret via Contractive Perturbations


Online Bayesian Goal Inference for Boundedly-Rational Planning Agents


Online Center of Mass Estimation for a Humanoid Wheeled Inverted Pendulum Robot


Online Convex Matrix Factorization with Representative Regions


Online Cyber-Attack Detection in Smart Grid: A Reinforcement Learning Approach


Online DCM Trajectory Generation for Push Recovery of Torque-Controlled Humanoid Robots


Online Ensemble Model Compression using Knowledge Distillation


Online High-Frequency Trading Stock Forecasting with Automated Feature Clustering and Radial Basis Function Neural Networks


Online Learning for Sparse PCA in High Dimensions: Exact Dynamics and Phase Transitions


Online Learning of a Memory for Learning Rates


Online Lifelong Generalized Zero-Shot Learning


Online Limited Memory Neural-Linear Bandits with Likelihood Matching


Online Matching: A Real-time Bandit System for Large-scale Recommendations


Online Multi-Object Tracking with Dual Matching Attention Networks


Online Optimal Control with Linear Dynamics and Predictions: Algorithms and Regret Analysis


Online Optimization with Memory and Competitive Control


Online Spatio-Temporal Learning in Deep Neural Networks


Online Video Understanding: OVBench and VideoChat-Online


Online and Offline Reinforcement Learning by Planning with a Learned Model


Online hyperparameter optimization by real-time recurrent learning


Only sparsity based loss function for learning representations


OnlyFlow: Optical Flow based Motion Conditioning for Video Diffusion Models


OnsagerNet: Learning Stable and Interpretable Dynamics using a Generalized Onsager Principle


Oops! Predicting Unintentional Action in Video


OpEn: Code Generation for Embedded Nonconvex Optimization


Open Grounded Planning: Challenges and Benchmark Construction


Open Set Authorship Attribution toward Demystifying Victorian Periodicals


Open X-Embodiment: Robotic Learning Datasets and RT-X Models


Open our eyes to wider fields in VLBI surveys


Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model


Open-Sora: Democratizing Efficient Video Production for All


Open-Source Concealed EEG Data Collection for Brain-Computer-Interfaces -- Real-World Neural Observation Through OpenBCI Amplifiers with Around-the-Ear cEEGrid Electrodes


Open-Vocabulary Action Localization with Iterative Visual Prompting


Open-Vocabulary Audio-Visual Semantic Segmentation


Open-architecture Implementation of Fragment Molecular Orbital Method for Peta-scale Computing


Open-vocabulary Object Segmentation with Diffusion Models


Open-world Learning and Application to Product Classification


OpenAssistant Conversations -- Democratizing Large Language Model Alignment


OpenCFU, a New Free and Open-Source Software to Count Cell Colonies and Other Circular Objects


OpenCity: A Scalable Platform to Simulate Urban Activities with Massive LLM Agents


OpenCodeInterpreter: Integrating Code Generation with Execution and Refinement


OpenFWI: Large-Scale Multi-Structural Benchmark Datasets for Seismic Full Waveform Inversion


OpenGait: Revisiting Gait Recognition Toward Better Practicality


OpenHands: Making Sign Language Recognition Accessible with Pose-based Pretrained Models across Languages


OpenING: A Comprehensive Benchmark for Judging Open-ended Interleaved Image-Text Generation


OpenLORIS-Object: A Robotic Vision Dataset and Benchmark for Lifelong Deep Learning


OpenMathInstruct-2: Accelerating AI for Math with Massive Open-Source Instruction Data


OpenPrompt: An Open-source Framework for Prompt-learning


OpenR: An Open Source Framework for Advanced Reasoning with Large Language Models


OpenRAN Gym: An Open Toolbox for Data Collection and Experimentation with AI in O-RAN


OpenSHC: A Versatile Multilegged Robot Controller


OpenScene: 3D Scene Understanding with Open Vocabularies


OpenShape: Scaling Up 3D Shape Representation Towards Open-World Understanding


OpenTag: Open Attribute Value Extraction from Product Profiles [Deep Learning, Active Learning, Named Entity Recognition]


OpenVoice: Versatile Instant Voice Cloning


Operating Fiber Networks in the Quantum Limit


Operationalizing a National Digital Library: The Case for a Norwegian Transformer Model


Operator Locality in Quantum Simulation of Fermionic Models


OptiDICE: Offline Policy Optimization via Stationary Distribution Correction Estimation


Optical Follow-up of Gravitational-wave Events with Las Cumbres Observatory


Optical polarization variations in the blazar PKS 1749+096


Optimal Algorithms for Geometric Centers and Depth


Optimal Balancing of Time-Dependent Confounders for Marginal Structural Models


Optimal Control for Nonlinear Hybrid Systems via Convex Relaxations


Optimal Experimental Design for Mathematical Models of Hematopoiesis


Optimal Exploration-Exploitation in a Multi-Armed-Bandit Problem with Non-stationary Rewards


Optimal Gradient Checkpoint Search for Arbitrary Computation Graphs


Optimal High Frequency Trading with limit and market orders


Optimal Layout Synthesis for Quantum Computing


Optimal Multi-Robot Path Planning on Graphs: Complete Algorithms and Effective Heuristics


Optimal Multi-view Correction of Local Affine Frames


Optimal Off-Policy Evaluation from Multiple Logging Policies


Optimal Sequential Task Assignment and Path Finding for Multi-Agent Robotic Assembly Planning


Optimal Statistical Inference for Individualized Treatment Effects in High-dimensional Models


Optimal Stopping via Randomized Neural Networks


Optimal Strategy in "Guess Who?": Beyond Binary Search


Optimal Textures: Fast and Robust Texture Synthesis and Style Transfer through Optimal Transport


Optimal Transport Based Distributionally Robust Optimization: Structural Properties and Iterative Schemes


Optimal Transport for structured data with application on graphs


Optimal algebraic Breadth-First Search for sparse graphs


Optimal control gradient precision trade-offs: application to fast generation of DeepControl libraries for MRI


Optimal control towards sustainable wastewater treatment plants based on multi-agent reinforcement learning


Optimal detection of changepoints with a linear computational cost


Optimal event selection and categorization in high energy physics, Part 1: Signal discovery


Optimal geometric multigrid preconditioners for HDG-P0 schemes for the reaction-diffusion equation and the generalized Stokes equations


Optimal quantum control with poor statistics


Optimal qubit assignment and routing via integer programming


Optimal strategies for gravitational wave stochastic background searches in pulsar timing data


Optimal structure and parameter learning of Ising models


Optimal switching sequence for switched linear systems


Optimal transport mapping via input convex neural networks


Optimality of testing procedures for survival data


Optimally Guarding Perimeters and Regions with Mobile Range Sensors


Optimisation of Wastewater Treatment Strategies in Eco-Industrial Parks: Technology, Location and Transport


Optimisations for Real-Time Volumetric Cloudscapes


Optimising Lockdown Policies for Epidemic Control using Reinforcement Learning


Optimization Methods for Interpretable Differentiable Decision Trees in Reinforcement Learning


Optimization for Large-Scale Machine Learning with Distributed Features and Observations


Optimization of Fast Algorithms for Global Quadrature by Expansion Using Target-Specific Expansions


Optimization of Flat to Round Transformers with Self-fields using Adjoint Techniques


Optimization of Graph Total Variation via Active-Set-based Combinatorial Reconditioning


Optimization of Humanoid Robot Designs for Human-Robot Ergonomic Payload Lifting


Optimization of Moment Masking for CO Spectral Line Surveys


Optimization of phase retrieval in the Fresnel domain by the modified Gerchberg-Saxton algorithm


Optimization of the Model Predictive Control Update Interval Using Reinforcement Learning


Optimization over Geodesics for Exact Principal Geodesic Analysis


Optimization-Based Autonomous Racing of 1:43 Scale RC Cars


Optimization-Based Visual-Inertial SLAM Tightly Coupled with Raw GNSS Measurements


Optimized Automatic Code Generation for Geometric Algebra Based Algorithms with Ray Tracing Application


Optimized Data Pre-Processing for Discrimination Prevention


Optimized Forest-Ruth- and Suzuki-like algorithms for integration of motion in many-body systems


Optimized Multi-Frequency Spectra for Applications in Radiative Feedback and Cosmological Reionization


Optimized Quantum Compilation for Near-Term Algorithms with OpenPulse


Optimized U-Net for Brain Tumor Segmentation


Optimizing Deep Neural Network Architecture: A Tabu Search Based Approach


Optimizing Deeper Transformers on Small Datasets


Optimizing Ensemble Weights and Hyperparameters of Machine Learning Models for Regression Problems


Optimizing Item and Subgroup Configurations for Social-Aware VR Shopping


Optimizing Loss Functions Through Multivariate Taylor Polynomial Parameterization


Optimizing Neural Architecture Search using Limited GPU Time in a Dynamic Search Space: A Gene Expression Programming Approach


Optimizing Password Composition Policies


Optimizing Prompts for Text-to-Image Generation


Optimizing adaptive cancer therapy: dynamic programming and evolutionary game theory


Optimizing regularized Cholesky score for order-based learning of Bayesian networks


Optimizing the Numbers of Queries and Replies in Federated Learning with Differential Privacy


Option Pricing and Hedging for Discrete Time Autoregressive Hidden Markov Model


Option Smile Volatility and Implied Probabilities: Implications of Concavity in IV Curves


Option-Critic in Cooperative Multi-agent Systems


Orbital Motion of the Wide Planetary-Mass Companion GSC 6214-210 b: No Evidence for Dynamical Scattering


Orbital Torus Imaging: Using Element Abundances to Map Orbits and Mass in the Milky Way


Orbital effect of magnetic field on the Majorana phase diagram


Order-Planning Neural Text Generation From Structured Data


Order-Preserving Key Compression for In-Memory Search Trees


Order-free Learning Alleviating Exposure Bias in Multi-label Classification


Ordering Dimensions with Nested Dropout Normalizing Flows


Ordinal Optimisation for the Gaussian Copula Model


Ordinal Trees and Random Forests: Score-Free Recursive Partitioning and Improved Ensembles


OriNet: A Fully Convolutional Network for 3D Human Pose Estimation


Orientation-aware Semantic Segmentation on Icosahedron Spheres


Oriented Point Sampling for Plane Detection in Unorganized Point Clouds


Orienting Point Clouds with Dipole Propagation


Origin-Aware Next Destination Recommendation with Personalized Preference Attention


Orthogonal Time Sequency Multiplexing Modulation: Analysis and Low-Complexity Receiver Design


Orthographic Feature Transform for Monocular 3D Object Detection


Our Practice Of Using Machine Learning To Recognize Species By Voice


Out the Window: A Crowd-Sourced Dataset for Activity Classification in Security Video


Out-of-Core Surface Reconstruction via Global $TGV$ Minimization


Out-of-Distribution Detection Using an Ensemble of Self Supervised Leave-out Classifiers


Out-of-Distribution Detection with Deep Nearest Neighbors


Out-of-Manifold Regularization in Contextual Embedding Space for Text Classification


Out-of-distribution Detection and Generation using Soft Brownian Offset Sampling and Autoencoders


Out-of-sample scoring and automatic selection of causal estimators


OutFlip: Generating Out-of-Domain Samples for Unknown Intent Detection with Natural Language Attack


Outlier Detection on Mixed-Type Data: An Energy-based Approach


Outlier detection in non-elliptical data by kernel MRCD


Outlining where humans live -- The World Settlement Footprint 2015


Overcoming Data Limitation in Medical Visual Question Answering


Overcoming Exploration in Reinforcement Learning with Demonstrations


Overcoming Prior Misspecification in Online Learning to Rank


Overlap-Add Windows with Maximum Energy Concentration for Speech and Audio Processing


Overton: A Data System for Monitoring and Improving Machine-Learned Products


Overview of Blakley's Secret Sharing Scheme


Overview of CTC 2021: Chinese Text Correction for Native Speakers


Overview of ImageArg-2023: The First Shared Task in Multimodal Argument Mining


Overview of Polkadot and its Design Considerations


P+: Extended Textual Conditioning in Text-to-Image Generation


P-CRITICAL: A Reservoir Autoregulation Plasticity Rule for Neuromorphic Hardware


P-DIFF: Learning Classifier with Noisy Labels based on Probability Difference Distributions


P2P Loan acceptance and default prediction with Artificial Intelligence


PAC-Bayesian Margin Bounds for Convolutional Neural Networks


PACOH: Bayes-Optimal Meta-Learning with PAC-Guarantees


PACT: Parameterized Clipping Activation for Quantized Neural Networks


PAFit: an R Package for the Non-Parametric Estimation of Preferential Attachment and Node Fitness in Temporal Complex Networks


PAI-BPR: Personalized Outfit Recommendation Scheme with Attribute-wise Interpretability


PAMS: Quantized Super-Resolution via Parameterized Max Scale


PAR: Political Actor Representation Learning with Social Context and Expert Knowledge


PARAFAC-Based Channel Estimation for Intelligent Reflective Surface Assisted MIMO System


PARN: Position-Aware Relation Networks for Few-Shot Learning


PAS-MEF: Multi-exposure image fusion based on principal component analysis, adaptive well-exposedness and saliency map


PAWS: Paraphrase Adversaries from Word Scrambling


PAniC-3D: Stylized Single-view 3D Reconstruction from Portraits of Anime Characters


PC-PG: Policy Cover Directed Exploration for Provable Policy Gradient Learning


PCL: Proposal Cluster Learning for Weakly Supervised Object Detection


PDE-Net 2.0: Learning PDEs from Data with A Numeric-Symbolic Hybrid Deep Network


PDETime: Rethinking Long-Term Multivariate Time Series Forecasting from the perspective of partial differential equations


PDLight: A Deep Reinforcement Learning Traffic Light Control Algorithm with Pressure and Dynamic Light Duration


PDRK: A General Kinetic Dispersion Relation Solver for Magnetized Plasma


PEBBLE: Feedback-Efficient Interactive Reinforcement Learning via Relabeling Experience and Unsupervised Pre-training


PEFT for Speech: Unveiling Optimal Placement, Merging Strategies, and Ensemble Techniques


PEGASE.2, a metallicity-consistent spectral evolution model of galaxies: the documentation and the code


PEREGRiNN: Penalized-Relaxation Greedy Neural Network Verifier


PERFOGRAPH: A Numerical Aware Program Graph Representation for Performance Optimization and Program Analysis


PEYMA: A Tagged Corpus for Persian Named Entities


PGNet: Real-time Arbitrarily-Shaped Text Spotting with Point Gathering Network


PGP-SAM: Prototype-Guided Prompt Learning for Efficient Few-Shot Medical Image Segmentation


PGU-net+: Progressive Growing of U-net+ for Automated Cervical Nuclei Segmentation


PHANGS-JWST First Results: Stellar Feedback-Driven Excitation and Dissociation of Molecular Gas in the Starburst Ring of NGC 1365?


PHOCNet: A Deep Convolutional Neural Network for Word Spotting in Handwritten Documents


PHOENICS: A universal deep Bayesian optimizer


PID-Inspired Inductive Biases for Deep Reinforcement Learning in Partially Observable Control Tasks


PIFu: Pixel-Aligned Implicit Function for High-Resolution Clothed Human Digitization


PILOT: Introducing Transformers for Probabilistic Sound Event Localization


PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs


PINNs for the Solution of the Hyperbolic Buckley-Leverett Problem with a Non-convex Flux Function


PIXEL: Interactive Light System Design Based On Simple Gesture Recognition


PKDGRAV3: Beyond Trillion Particle Cosmological Simulations for the Next Era of Galaxy Surveys


PLATO-XL: Exploring the Large-scale Pre-training of Dialogue Generation


PLATO: Pre-trained Dialogue Generation Model with Discrete Latent Variable


PLIKS: A Pseudo-Linear Inverse Kinematic Solver for 3D Human Body Estimation


PLMIX: An R package for modeling and clustering partially ranked data


PLUTO: Pushing the Limit of Imitation Learning-based Planning for Autonomous Driving


PM-Gati Shakti: Advancing India's Energy Future through Demand Forecasting -- A Case Study


PONAS: Progressive One-shot Neural Architecture Search for Very Efficient Deployment


PONE: A Novel Automatic Evaluation Metric for Open-Domain Generative Dialogue Systems


POPE: 6-DoF Promptable Pose Estimation of Any Object, in Any Scene, with One Reference


POTTER: Pooling Attention Transformer for Efficient Human Mesh Recovery


PP-LCNet: A Lightweight CPU Convolutional Neural Network


PP-PicoDet: A Better Real-Time Object Detector on Mobile Devices


PP-YOLO: An Effective and Efficient Implementation of Object Detector


PQ-NET: A Generative Part Seq2Seq Network for 3D Shapes


PQA: Exploring the Potential of Product Quantization in DNN Hardware Acceleration


PRAM: Place Recognition Anywhere Model for Efficient Visual Localization


PREMA: A Predictive Multi-task Scheduling Algorithm For Preemptible Neural Processing Units