Model Merging by Uncertainty-Based Gradient Matching


Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities


Model Mixing Using Bayesian Additive Regression Trees


Model Optimization in Imbalanced Regression


Model Order Reduction of Large-Scale Wind Farms: A Data-Driven Approach


Model Pairing Using Embedding Translation for Backdoor Attack Detection on Open-Set Classification Tasks


Model Patching: Closing the Subgroup Performance Gap with Data Augmentation


Model Predictive Actor-Critic: Accelerating Robot Skill Acquisition with Deep Reinforcement Learning


Model Predictive Control for Integrated Lateral Stability


Model Predictive Control for Signal Temporal Logic Specifications with Time Interval Decomposition


Model Predictive Control of District Heating Grids Using Stabilizing Terminal Ingredients


Model Predictive Control of Nonlinear Latent Force Models: A Scenario-Based Approach


Model Predictive Control of Wind Turbines with Piecewise-Affine Power Coefficient Approximation


Model Predictive Control with Self-supervised Representation Learning


Model Predictive Impedance Control with Gaussian Processes for Human and Environment Interaction


Model Predictive Monitoring of Dynamical Systems for Signal Temporal Logic Specifications


Model Predictive Online Monitoring of Dynamical Systems for Nested Signal Temporal Logic Specifications


Model Predictive Optimized Path Integral Strategies


Model Predictive Parkour Control of a Monoped Hopper in Dynamically Changing Environments


Model Preserving Compression for Neural Networks


Model Primitive Hierarchical Lifelong Reinforcement Learning


Model Quantization and Hardware Acceleration for Vision Transformers: A Comprehensive Survey


Model Reconstruction Using Counterfactual Explanations: A Perspective From Polytope Theory


Model Reduction for the Chemical Master Equation: an Information-Theoretic Approach


Model Reduction of Homogeneous Polynomial Dynamical Systems via Tensor Decomposition


Model Reduction to Spectral Submanifolds in Non-Smooth Dynamical Systems


Model Reprogramming Outperforms Fine-tuning on Out-of-distribution Data in Text-Image Encoders


Model Reprogramming: Resource-Efficient Cross-Domain Machine Learning


Model Reveals What to Cache: Profiling-Based Feature Reuse for Video Diffusion Models


Model Selection for Bayesian Autoencoders


Model Selection for Cross-Lingual Transfer


Model Selection for Exposure-Mediator Interaction


Model Selection for Offline Reinforcement Learning: Practical Considerations for Healthcare Settings


Model Selection for Time Series Forecasting: Empirical Analysis of Different Estimators


Model Selection in Bayesian Neural Networks via Horseshoe Priors


Model Selection in Variational Mixed Effects Models


Model Selection of Nested and Non-Nested Item Response Models using Vuong Tests


Model Selection over Partially Ordered Sets


Model Selection with Model Zoo via Graph Learning


Model Selection with a Shapelet-based Distance Measure for Multi-source Transfer Learning in Time Series Classification


Model Sketching: Centering Concepts in Early-Stage Machine Learning Model Design


Model Slicing for Supporting Complex Analytics with Elastic Inference Cost and Resource Constraints


Model Sparsity Can Simplify Machine Unlearning


Model Stealing Attacks Against Inductive Graph Neural Networks


Model Steering: Learning with a Reference Model Improves Generalization Bounds and Scaling Laws


Model Stock: All we need is just a few fine-tuned models


Model Supply Chain Poisoning: Backdooring Pre-trained Models via Embedding Indistinguishability


Model Surgery: Modulating LLM's Behavior Via Simple Parameter Editing


Model Synthesis for Zero-Shot Model Attribution


Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs


Model Transfer for Tagging Low-resource Languages using a Bilingual Dictionary


Model Transferability With Responsive Decision Subjects


Model Trees for Identifying Exceptional Players in the NHL Draft


Model Uncertainty in Evolutionary Optimization and Bayesian Optimization: A Comparative Analysis


Model Utility Law: Evaluating LLMs beyond Performance through Mechanism Interpretable Metric


Model X-ray:Detecting Backdoored Models via Decision Boundary


Model adaptive phase space reconstruction


Model and Data Agreement for Learning with Noisy Labels


Model and Data Transfer for Cross-Lingual Sequence Labelling in Zero-Resource Settings


Model averaging approaches to data subset selection


Model averaging with mixed criteria for estimating high quantiles of extreme values: Application to heavy rainfall


Model based approach for household clustering with mixed scale variables


Model based clustering of multinomial count data


Model checking for high dimensional generalized linear models based on random projections


Model checking strategy-controlled systems in rewriting logic


Model comparison via simplicial complexes and persistent homology


Model dispersion with PRISM; an alternative to MCMC for rapid analysis of models


Model extraction from counterfactual explanations


Model for transitional turbulence in a planar shear flow


Model interpretation using improved local regression with variable importance


Model order reduction for parametric high dimensional models in the analysis of financial risk


Model predictive control for robust quantum state preparation


Model predictive control-based value estimation for efficient reinforcement learning


Model rejection and parameter reduction via time series


Model selection and parameter inference in phylogenetics using Nested Sampling


Model selection and robust inference of mutational signatures using Negative Binomial non-negative matrix factorization


Model selection for estimation of causal parameters


Model selection for risk analysis of wastewater networks


Model selection in reconciling hierarchical time series


Model selection with lasso-zero: adding straw to the haystack to better find needles


Model soups to increase inference without increasing compute time


Model structures and fitting criteria for system identification with neural networks


Model uncertainty quantification using feature confidence sets for outcome excursions


Model updating after interventions paradoxically introduces bias


Model validation for aggregate inferences in out-of-sample prediction


Model- and Acceleration-based Pursuit Controller for High-Performance Autonomous Racing


Model-Advantage and Value-Aware Models for Model-Based Reinforcement Learning: Bridging the Gap in Theory and Practice


Model-Agnostic Algorithm for Real-Time Attack Identification in Power Grid using Koopman Modes


Model-Agnostic Augmentation for Accurate Graph Classification


Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System


Model-Agnostic Covariate-Assisted Inference on Partially Identified Causal Effects


Model-Agnostic Defense for Lane Detection against Adversarial Attack


Model-Agnostic Gender Debiased Image Captioning


Model-Agnostic Knowledge Guided Correction for Improved Neural Surrogate Rollout


Model-Agnostic Tagging of Quenched Jets in Heavy-Ion Collisions


Model-Architecture Co-Design for High Performance Temporal GNN Inference on FPGA


Model-Aware Contrastive Learning: Towards Escaping the Dilemmas


Model-Aware Deep Architectures for One-Bit Compressive Variational Autoencoding


Model-Based Counterfactual Explanations Incorporating Feature Space Attributes for Tabular Data


Model-Based End-to-End Learning for Multi-Target Integrated Sensing and Communication under Hardware Impairments


Model-Based End-to-End Learning for WDM Systems With Transceiver Hardware Impairments


Model-Based Imitation Learning for Urban Driving


Model-Based Iterative Reconstruction of Three-Dimensional Magnetisation in a Nanowire Structure Using Electron Holographic Vector Field Tomography


Model-Based Meta-Reinforcement Learning for Flight with Suspended Payloads


Model-Based Minimum Bayes Risk Decoding for Text Generation


Model-Based Offline Planning with Trajectory Pruning


Model-Based RL for Mean-Field Games is not Statistically Harder than Single-Agent RL


Model-Based Real-Time Pose and Sag Estimation of Overhead Power Lines Using LiDAR for Drone Inspection


Model-Based Reconstruction for Joint Estimation of $T_{1}$, $R_{2}^{*}$ and $B_{0}$ Field Maps Using Single-Shot Inversion-Recovery Multi-Echo Radial FLASH


Model-Based Reconstruction for Simultaneous Multi-Slice T1 Mapping using Single-Shot Inversion-Recovery Radial FLASH


Model-Based Reinforcement Learning via Latent-Space Collocation


Model-Based Reinforcement Learning with Multi-Task Offline Pretraining


Model-Based Simulation for Optimising Smart Reply


Model-Based Stochastic Search for Large Scale Optimization of Multi-Agent UAV Swarms


Model-Based Testing of Networked Applications


Model-Based Transfer Learning for Contextual Reinforcement Learning


Model-Based Uncertainty in Value Functions


Model-Based Visual Planning with Self-Supervised Functional Distances


Model-Based and Graph-Based Priors for Group Testing


Model-Change Active Learning in Graph-Based Semi-Supervised Learning


Model-Checking the Implementation of Consent


Model-Driven Deep Learning-Based MIMO-OFDM Detector: Design, Simulation, and Experimental Results


Model-Free Active Exploration in Reinforcement Learning


Model-Free Adaptive Optimal Control of Episodic Fixed-Horizon Manufacturing Processes using Reinforcement Learning


Model-Free Learning of Optimal Deterministic Resource Allocations in Wireless Systems via Action-Space Exploration


Model-Free Learning of Two-Stage Beamformers for Passive IRS-Aided Network Design


Model-GLUE: Democratized LLM Scaling for A Large Model Zoo in the Wild


Model-Guided Multi-Contrast Deep Unfolding Network for MRI Super-resolution Reconstruction


Model-Guided Network with Cluster-Based Operators for Spatio-Spectral Super-Resolution


Model-Independent Mass Reconstruction of the Hubble Frontier Field Clusters with MARS Based on Self-Consistent Strong Lensing Data


Model-Informed Machine Learning for Multi-component T2 Relaxometry


Model-Powered Conditional Independence Test


Model-Predictive Control via Cross-Entropy and Gradient-Based Optimization


Model-Predictive Policy Learning with Uncertainty Regularization for Driving in Dense Traffic


Model-Robust Counterfactual Prediction Method


Model-Theoretic Logic for Mathematical Theory of Semantic Information and Communication


Model-X Sequential Testing for Conditional Independence via Testing by Betting


Model-agnostic Approaches to Handling Noisy Labels When Training Sound Event Classifiers


Model-agnostic Measure of Generalization Difficulty


Model-agnostic explainable artificial intelligence for object detection in image data


Model-agnostic variable importance for predictive uncertainty: an entropy-based approach


Model-aided Federated Reinforcement Learning for Multi-UAV Trajectory Planning in IoT Networks


Model-assisted deep learning of rare extreme events from partial observations


Model-aware reinforcement learning for high-performance Bayesian experimental design in quantum metrology


Model-based 3D Hand Reconstruction via Self-Supervised Learning


Model-based Adversarial Meta-Reinforcement Learning


Model-based Behavioral Cloning with Future Image Similarity Learning


Model-based Causal Bayesian Optimization


Model-based Cleaning of the QUILT-1M Pathology Dataset for Text-Conditional Image Synthesis


Model-based Clustering of Multi-Dimensional Zero-Inflated Counts via the EM Algorithm


Model-based Clustering using Automatic Differentiation: Confronting Misspecification and High-Dimensional Data


Model-based Clustering with Missing Not At Random Data


Model-based Decision Making with Imagination for Autonomous Parking


Model-based Estimation of AV-nodal Refractory Period and Conduction Delay Trends from ECG


Model-based Exploration of the Frontier of Behaviours for Deep Learning System Testing


Model-based Federated Learning for Accurate MR Image Reconstruction from Undersampled k-space Data


Model-based Manipulation of Deformable Objects with Non-negligible Dynamics as Shape Regulation


Model-based Multi-agent Policy Optimization with Adaptive Opponent-wise Rollouts


Model-based Offline Policy Optimization with Adversarial Network


Model-based Offline Reinforcement Learning with Count-based Conservatism


Model-based Policy Optimization with Unsupervised Model Adaptation


Model-based Preference Optimization in Abstractive Summarization without Human Feedback


Model-based ROC (mROC) curve: examining the effect of case-mix and model calibration on the ROC plot


Model-based Reinforcement Learning for Continuous Control with Posterior Sampling


Model-based Reinforcement Learning for Semi-Markov Decision Processes with Neural ODEs


Model-based Reinforcement Learning with Multi-step Plan Value Estimation


Model-based Safe Deep Reinforcement Learning via a Constrained Proximal Policy Optimization Algorithm


Model-based Smoothing with Integrated Wiener Processes and Overlapping Splines


Model-based Subsampling for Knowledge Graph Completion


Model-based Synthetic Data-driven Learning (MOST-DL): Application in Single-shot T2 Mapping with Severe Head Motion Using Overlapping-echo Acquisition


Model-based Transfer Learning for Automatic Optical Inspection based on domain discrepancy


Model-based Validation as Probabilistic Inference


Model-based aberration corrected microscopy inside a glass tube


Model-based assessment of sampling protocols for infectious disease genomic surveillance


Model-based causal feature selection for general response types


Model-based clustering for covariance matrices via penalized Wishart mixture models


Model-based clustering in simple hypergraphs through a stochastic blockmodel


Model-based clustering in very high dimensions via adaptive projections


Model-based clustering of categorical data based on the Hamming distance


Model-based clustering of multi-tissue gene expression data


Model-based clustering of time-dependent observations with common structural changes


Model-based deep reinforcement learning for accelerated learning from flow simulations


Model-based inexact graph matching on top of CNNs for semantic scene understanding


Model-based micro-data reinforcement learning: what are the crucial model properties and which model to choose?


Model-based standardization using multiple imputation


Model-blind Video Denoising Via Frame-to-frame Training


Model-free Learning with Heterogeneous Dynamical Systems: A Federated LQR Approach


Model-free Motion Planning of Autonomous Agents for Complex Tasks in Partially Observable Environments


Model-free Neural Lyapunov Control for Safe Robot Navigation


Model-free Quantum Gate Design and Calibration using Deep Reinforcement Learning


Model-free Vehicle Tracking and State Estimation in Point Cloud Sequences


Model-free and Bayesian Ensembling Model-based Deep Reinforcement Learning for Particle Accelerator Control Demonstrated on the FERMI FEL


Model-free bounds for multi-asset options using option-implied information and their exact computation


Model-free inference of direct network interactions from nonlinear collective dynamics


Model-free optimization of power/efficiency tradeoffs in quantum thermal machines using reinforcement learning


Model-free price bounds under dynamic option trading


Model-free quantification of completeness, uncertainties, and outliers in atomistic machine learning using information theory


Model-free reinforcement learning with noisy actions for automated experimental control in optics


Model-free tracking control of complex dynamical trajectories with machine learning


Model-independent constraints on the hydrogen-ionizing emissivity at z>6


Model-independent estimates for loop-induced baryon-number-violating nucleon decays


Model-independent methods for embedding directed networks into Euclidean and hyperbolic spaces


Model-independent search for the quasinormal modes of gravitational wave echoes


Model-less Is the Best Model: Generating Pure Code Implementations to Replace On-Device DL Models


Model-robust standardization in cluster-randomized trials


Model-tuning Via Prompts Makes NLP Models Adversarially Robust


ModelDiff: A Framework for Comparing Learning Algorithms


ModelDiff: Testing-Based DNN Similarity Comparison for Model Reuse Detection


ModelFactory: A Matlab/Octave based toolbox to create human body models


ModelGPT: Unleashing LLM's Capabilities for Tailored Model Generation


ModelGiF: Gradient Fields for Model Functional Distance


ModelNet-O: A Large-Scale Synthetic Dataset for Occlusion-Aware Point Cloud Classification


ModelObfuscator: Obfuscating Model Information to Protect Deployed ML-based Systems


ModelPred: A Framework for Predicting Trained Model from Training Data


ModelPredictiveControl.jl: advanced process control made easy in Julia


ModelScope Text-to-Video Technical Report


ModelShield: Adaptive and Robust Watermark against Model Extraction Attack


ModelicaGym: Applying Reinforcement Learning to Modelica Models


Modeling 100% Electrified Transportation in NYC


Modeling AI-Human Collaboration as a Multi-Agent Adaptation


Modeling Activity-Driven Music Listening with PACE


Modeling AdaGrad, RMSProp, and Adam with Integro-Differential Equations


Modeling Advection-Dominated Flows with Space-Local Reduced-Order Models


Modeling Adversarial Attack on Pre-trained Language Models as Sequential Decision Making


Modeling Adversarial Noise for Adversarial Training


Modeling Aggression Propagation on Social Media


Modeling Annotation Uncertainty with Gaussian Heatmaps in Landmark Localization


Modeling Annotator Preference and Stochastic Annotation Error for Medical Image Segmentation


Modeling Artistic Workflows for Image Generation and Editing


Modeling Asymmetric Relationships from Symmetric Networks


Modeling Attention during Dimensional Shifts with Counterfactual and Delayed Feedback


Modeling Baroque Two-Part Counterpoint with Neural Machine Translation


Modeling Bends in Popular Music Guitar Tablatures


Modeling Bilingual Conversational Characteristics for Neural Chat Translation


Modeling COVID-19 dynamics in Illinois under non-pharmaceutical interventions


Modeling Camera Effects to Improve Visual Learning from Synthetic Data


Modeling Caption Diversity in Contrastive Vision-Language Pretraining


Modeling Category-Selective Cortical Regions with Topographic Variational Autoencoders


Modeling Causal Mechanisms with Diffusion Models for Interventional and Counterfactual Queries


Modeling Cell Size Distribution with Heterogeneous Flux Balance Analysis


Modeling Chemical Exfoliation of Non-van der Waals Chromium Sulfides by Machine Learning Interatomic Potentials and Monte Carlo Simulations


Modeling Citation Trajectories of Scientific Papers


Modeling Collective Anticipation and Response on Wikipedia


Modeling Color Terminology Across Thousands of Languages


Modeling Complex Disease Trajectories using Deep Generative Models with Semi-Supervised Latent Processes


Modeling Complex Event Scenarios via Simple Entity-focused Questions


Modeling Complex Mathematical Reasoning via Large Language Model based MathAgent


Modeling Composite Labels for Neural Morphological Tagging


Modeling Conceptual Understanding in Image Reference Games


Modeling Content and Context with Deep Relational Learning


Modeling Content-Emotion Duality via Disentanglement for Empathetic Conversation


Modeling Context Between Objects for Referring Expression Understanding


Modeling Context With Linear Attention for Scalable Document-Level Translation


Modeling Context in Referring Expressions


Modeling Continuous Time Sequences with Intermittent Observations using Marked Temporal Point Processes


Modeling Coordinated vs. P2P Mining: An Analysis of Inefficiency and Inequality in Proof-of-Work Blockchains


Modeling Coverage for Neural Machine Translation


Modeling Cross-Cultural Pragmatic Inference with Codenames Duet


Modeling Deep Learning Based Privacy Attacks on Physical Mail


Modeling Diagnostic Label Correlation for Automatic ICD Coding


Modeling Disclosive Transparency in NLP Application Descriptions


Modeling Discriminative Representations for Out-of-Domain Detection with Supervised Contrastive Learning


Modeling Diverse Chemical Reactions for Single-step Retrosynthesis via Discrete Latent Variables


Modeling Diverse Relevance Patterns in Ad-hoc Retrieval


Modeling Document-level Temporal Structures for Building Temporal Dependency Graphs


Modeling Dual Period-Varying Preferences for Takeaway Recommendation


Modeling Dual Read/Write Paths for Simultaneous Machine Translation


Modeling Dynamic Functional Connectivity with Latent Factor Gaussian Processes


Modeling Dynamic Heterogeneous Network for Link Prediction using Hierarchical Attention with Temporal RNN


Modeling Dynamic Topics in Chain-Free Fashion by Evolution-Tracking Contrastive Learning and Unassociated Word Exclusion


Modeling Dynamic User Preference via Dictionary Learning for Sequential Recommendation


Modeling Dynamics of Facial Behavior for Mental Health Assessment


Modeling EEG data distribution with a Wasserstein Generative Adversarial Network to predict RSVP Events


Modeling Edge Features with Deep Bayesian Graph Networks


Modeling Emotional Trajectories in Written Stories Utilizing Transformers and Weakly-Supervised Learning


Modeling Empathy and Distress in Reaction to News Stories


Modeling Endorsement for Multi-Document Abstractive Summarization


Modeling Epidemic Spread: A Gaussian Process Regression Approach


Modeling Event Plausibility with Consistent Conceptual Abstraction


Modeling Explicit Concerning States for Reinforcement Learning in Visual Dialogue


Modeling Extensive Defects in Metals through Classical Potential-Guided Sampling and Automated Configuration Reconstruction


Modeling Extent-of-Texture Information for Ground Terrain Recognition


Modeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity


Modeling Financial Time Series using LSTM with Trainable Initial Hidden States


Modeling Fine-Grained Entity Types with Box Embeddings


Modeling Fine-Grained Hand-Object Dynamics for Egocentric Video Representation Learning


Modeling Fine-grained Information via Knowledge-aware Hierarchical Graph for Zero-shot Entity Retrieval


Modeling Foreground Spatial Variations in 21 cm Gaussian Process Component Separation


Modeling Framing in Immigration Discourse on Social Media


Modeling Future Conversation Turns to Teach LLMs to Ask Clarifying Questions


Modeling Generalization in Machine Learning: A Methodological and Computational Study


Modeling Generalized Specialist Approach To Train Quality Resilient Snapshot Ensemble


Modeling Global Distribution for Federated Learning with Label Distribution Skew


Modeling Global Surface Dust Deposition Using Physics-Informed Neural Networks


Modeling Global and Local Node Contexts for Text Generation from Knowledge Graphs


Modeling Graph Structure in Transformer for Better AMR-to-Text Generation


Modeling Graphs Beyond Hyperbolic: Graph Neural Networks in Symmetric Positive Definite Matrices


Modeling Graphs with Vertex Replacement Grammars


Modeling Heterogeneous Edges to Represent Networks with Graph Auto-Encoder


Modeling Heterogeneous Statistical Patterns in High-dimensional Data by Adversarial Distributions: An Unsupervised Generative Framework


Modeling Hierarchical Reasoning Chains by Linking Discourse Units and Key Phrases for Reading Comprehension


Modeling Hierarchical Structures with Continuous Recursive Neural Networks


Modeling High-Dimensional Data with Unknown Cut Points: A Fusion Penalized Logistic Threshold Regression


Modeling Human Dynamics and Lifestyle Using Digital Traces


Modeling Human Exploration Through Resource-Rational Reinforcement Learning


Modeling Human Eye Movements with Neural Networks in a Maze-Solving Task


Modeling Human Mental States with an Entity-based Narrative Graph


Modeling Human Responses by Ordinal Archetypal Analysis


Modeling Ideological Salience and Framing in Polarized Online Groups with Graph Neural Networks and Structured Sparsity


Modeling Image Composition for Complex Scene Generation


Modeling Immunity to Malaria with an Age-Structured PDE Framework


Modeling Individual Cyclic Variation in Human Behavior


Modeling Influencer Marketing Campaigns in Social Networks


Modeling Instance Interactions for Joint Information Extraction with Neural High-Order Conditional Random Field


Modeling Insurance Claims using Bayesian Nonparametric Regression


Modeling Intensification for Sign Language Generation: A Computational Approach


Modeling Inter-Dependence Between Time and Mark in Multivariate Temporal Point Processes


Modeling Inter-Intra Heterogeneity for Graph Federated Learning


Modeling Interconnected Social and Technical Risks in Open Source Software Ecosystems


Modeling Intrinsic Galaxy Alignment in the MICE Simulation


Modeling Joint Health Effects of Environmental Exposure Mixtures with Bayesian Additive Regression Trees


Modeling Knowledge Acquisition from Multiple Learning Resource Types


Modeling Label Ambiguity for Neural List-Wise Learning to Rank


Modeling Label Semantics for Predicting Emotional Reactions


Modeling Latent Neural Dynamics with Gaussian Process Switching Linear Dynamical Systems


Modeling Latent Non-Linear Dynamical System over Time Series


Modeling Legal Reasoning: LM Annotation at the Edge of Human Agreement


Modeling Longitudinal Dynamics of Comorbidities


Modeling MRSA decolonization: Interactions between body sites and the impact of site-specific clearance


Modeling Mask Uncertainty in Hyperspectral Image Reconstruction


Modeling Missing Annotations for Incremental Learning in Object Detection


Modeling Missing at Random Neuropsychological Test Scores Using a Mixture of Binomial Product Experts


Modeling Motion with Multi-Modal Features for Text-Based Video Segmentation


Modeling Multi-Granularity Hierarchical Features for Relation Extraction


Modeling Multi-Label Action Dependencies for Temporal Action Localization


Modeling Multi-Task Model Merging as Adaptive Projective Gradient Descent


Modeling Multi-turn Conversation with Deep Utterance Aggregation


Modeling Multimodal Aleatoric Uncertainty in Segmentation with Mixture of Stochastic Experts


Modeling Multiple Normal Action Representations for Error Detection in Procedural Tasks


Modeling Multiple Radius Valley Emergence Mechanisms With Multi-Transiting Systems


Modeling Multivariate Biosignals With Graph Neural Networks and Structured State Space Models


Modeling Musical Genre Trajectories through Pathlet Learning


Modeling Network-level Traffic Flow Transitions on Sparse Data


Modeling Neural Activity with Conditionally Linear Dynamical Systems


Modeling Non-Cooperative Dialogue: Theoretical and Empirical Insights


Modeling Nonlinear Oscillator Networks Using Physics-Informed Hybrid Reservoir Computing


Modeling Nonstationary Extremal Dependence via Deep Spatial Deformations


Modeling Object Dissimilarity for Deep Saliency Prediction


Modeling PROTAC Degradation Activity with Machine Learning


Modeling Past and Future for Neural Machine Translation


Modeling Penetration Testing with Reinforcement Learning Using Capture-the-Flag Challenges: Trade-offs between Model-free Learning and A Priori Knowledge


Modeling Perceptual Loudness of Piano Tone: Theory and Applications


Modeling Power Systems Dynamics with Symbolic Physics-Informed Neural Networks


Modeling Precomputation In Games Played Under Computational Constraints


Modeling Prejudice and Its Effect on Societal Prosperity


Modeling Processes of Neighborhood Change


Modeling Processor Idle Times in MPSoC Platforms to Enable Integrated DPM, DVFS, and Task Scheduling Subject to a Hard Deadline


Modeling Profanity and Hate Speech in Social Media with Semantic Subspaces


Modeling Programmer Attention as Scanpath Prediction


Modeling Protagonist Emotions for Emotion-Aware Storytelling


Modeling Real-Time Interactive Conversations as Timed Diarized Transcripts


Modeling Recovery Curves With Application to Prostatectomy


Modeling Selective Feature Attention for Representation-based Siamese Text Matching


Modeling Self-Propagating Malware with Epidemiological Models


Modeling Semantic Compositionality with Sememe Knowledge


Modeling Semantic Plausibility by Injecting World Knowledge


Modeling Sentiment Dependencies with Graph Convolutional Networks for Aspect-level Sentiment Classification


Modeling Sequences as Distributions with Uncertainty for Sequential Recommendation


Modeling Sequential Recommendation as Missing Information Imputation


Modeling Sequential Sentence Relation to Improve Cross-lingual Dense Retrieval


Modeling Shared Responses in Neuroimaging Studies through MultiView ICA


Modeling Social Media Recommendation Impacts Using Academic Networks: A Graph Neural Network Approach


Modeling State Shifting via Local-Global Distillation for Event-Frame Gaze Tracking


Modeling Structural Similarities between Documents for Coherence Assessment with Graph Convolutional Networks


Modeling Structure with Undirected Neural Networks


Modeling Student Performance in Game-Based Learning Environments


Modeling Subjective Assessments of Guilt in Newspaper Crime Narratives


Modeling Supernova 2023ixf: Lightcurve Degeneracies and Morphological Differences


Modeling T1 Resting-State MRI Variants Using Convolutional Neural Networks in Diagnosis of OCD


Modeling Target-side Inflection in Placeholder Translation


Modeling Task Effects on Meaning Representation in the Brain via Zero-Shot MEG Prediction


Modeling Temporal Concept Receptive Field Dynamically for Untrimmed Video Analysis


Modeling Text-Label Alignment for Hierarchical Text Classification


Modeling Thousands of Human Annotators for Generalizable Text-to-Image Person Re-identification


Modeling Tidal Disruptions with Dynamical Tides


Modeling Time-Variable Elemental Abundances in Coronal Loop Simulations


Modeling Time-Variant Responses of Optical Compressors with Selective State Space Models


Modeling Time-Varying Effects of Mobile Health Interventions Using Longitudinal Functional Data from HeartSteps Micro-Randomized Trial


Modeling Tor Network Growth by Extrapolating Consensus Data


Modeling Two-Way Selection Preference for Person-Job Fit


Modeling Uncertainty in Personalized Emotion Prediction with Normalizing Flows


Modeling Uncertainty with Hedged Instance Embedding


Modeling Unknown Stochastic Dynamical System via Autoencoder


Modeling Urban Transport Choices: Incorporating Sociocultural Aspects


Modeling User Behavior With Interaction Networks for Spam Detection


Modeling User Behavior with Graph Convolution for Personalized Product Search


Modeling User Empathy Elicited by a Robot Storyteller


Modeling User Exposure in Recommendation


Modeling User Fatigue for Sequential Recommendation


Modeling User Intent Beyond Trigger: Incorporating Uncertainty for Trigger-Induced Recommendation


Modeling User Repeat Consumption Behavior for Online Novel Recommendation


Modeling User Retention through Generative Flow Networks


Modeling User Satisfaction Dynamics in Dialogue via Hawkes Process


Modeling Users' Contextualized Page-wise Feedback for Click-Through Rate Prediction in E-commerce Search


Modeling VI and VDRL feedback functions: searching normative rules through computational simulation


Modeling Variables with a Detection Limit using a Truncated Normal Distribution with Censoring


Modeling Variants of Prompts for Vision-Language Models


Modeling Variations of First-Order Horn Abduction in Answer Set Programming


Modeling Visual Memorability Assessment with Autoencoders Reveals Characteristics of Memorable Images


Modeling Voting for System Combination in Machine Translation


Modeling What-to-ask and How-to-ask for Answer-unaware Conversational Question Generation


Modeling a Nonlinear Biophysical Trend Followed by Long-Memory Equilibrium with Unknown Change Point


Modeling adaptive forward-looking behavior in epidemics on networks


Modeling and Analyzing Urban Networks and Amenities with OSMnx


Modeling and Analyzing the Influence of Non-Item Pages on Sequential Next-Item Prediction


Modeling and Calibration of Gaia, Hipparcos, and Tycho-2 astrometric data for the detection of dark companions


Modeling and Control of a Reconfigurable Photonic Circuit using Deep Learning


Modeling and Correcting Bias in Sequential Evaluation


Modeling and Design of Millimeter-Wave Networks for Highway Vehicular Communication


Modeling and Forecasting Art Movements with CGANs


Modeling and Leveraging Prerequisite Context in Recommendation


Modeling and Optimization Trade-off in Meta-learning


Modeling and Optimization for Flexible Cylindrical Arrays-Enabled Wireless Communications


Modeling and Optimizing Laser-Induced Graphene


Modeling and Rapid Prototyping of Integrated Transmission-Distribution OPF Formulations with PowerModelsITD.jl


Modeling and characterizing stochastic neurons based on in vitro voltage-dependent spike probability functions


Modeling and computation of the effective elastic behavior of parallelogram origami metamaterials


Modeling and forecasting subnational age distribution of death counts


Modeling and hexahedral meshing of cerebral arterial networks from centerlines


Modeling and predicting students' engagement behaviors using mixture Markov models


Modeling and simulation of heat source trajectories through phase-change materials


Modeling and simulation of vascular tumors embedded in evolving capillary networks


Modeling and solving an integrated periodic vehicle routing and capacitated facility location problem in the context of solid waste collection


Modeling animal movement with directional persistence and attractive points


Modeling battery formation: boosted SEI growth, multi-species reactions, and irreversible expansion


Modeling between-farm transmission dynamics of porcine epidemic diarrhea virus: characterizing the dominant transmission routes


Modeling biases in binary decision-making within the generalized nonlinear q-voter model


Modeling chemistry during star formation: Water deuteration in dynamic star-forming regions


Modeling citation worthiness by using attention-based bidirectional long short-term memory networks and interpretable models


Modeling cognitive deficits following neurodegenerative diseases and traumatic brain injuries with deep convolutional neural networks


Modeling complex species-environment relationships through spatially-varying coefficient occupancy models


Modeling crystal defects using defect-informed neural networks


Modeling frequency shifts of collective bubble resonances with the boundary element method


Modeling groundwater levels in California's Central Valley by hierarchical Gaussian process and neural network regression


Modeling heterogeneity in higher-order moments while preserving mean and variance: application to spatio-temporal modeling


Modeling high-entropy transition-metal alloys with alchemical compression


Modeling how and why aquatic vegetation removal can free rural households from poverty-disease traps


Modeling how social network algorithms can influence opinion polarization


Modeling human observer detection in undersampled magnetic resonance imaging (MRI) reconstruction with total variation and wavelet sparsity regularization


Modeling in Jjodel: Bridging Complexity and Usability in Model-Driven Engineering


Modeling in-ice radio propagation with parabolic equation methods


Modeling ionic transport and disorder in crystalline electrodes using percolation theory


Modeling longitudinal data using matrix completion


Modeling material transport regulation and traffic jam in neurons using PDE-constrained optimization


Modeling metaorder impact with a Non-Markovian Zero Intelligence model


Modeling microbial abundances and dysbiosis with beta-binomial regression


Modeling microlensing events with MulensModel


Modeling multiple taxis: tumor invasion with phenotypic heterogeneity, haptotaxis, and unilateral interspecies repellence


Modeling natural language emergence with integral transform theory and reinforcement learning


Modeling non-genetic information dynamics in cells using reservoir computing


Modeling non-linear Effects with Neural Networks in Relational Event Models


Modeling of Bovine Spongiform Encephalopathy in a Two-Species Feedback Loop


Modeling of Visco-Elastic Environments for Humanoid Robot Motion Control


Modeling of a stepped Luneburg lens for all-sky surveys


Modeling of electronic dynamics in twisted bilayer graphene


Modeling of mouse experiments suggests that optimal anti-hormonal treatment for breast cancer is diet-dependent


Modeling of nonlinear audio effects with end-to-end deep neural networks


Modeling polypharmacy side effects with graph convolutional networks


Modeling racial/ethnic differences in COVID-19 incidence with covariates subject to non-random missingness


Modeling random and non-random decision uncertainty in ratings data: A fuzzy beta model


Modeling rapid language learning by distilling Bayesian priors into artificial neural networks


Modeling relation paths for knowledge base completion via joint adversarial training


Modeling resource consumption in the US air transportation system via minimum-cost percolation


Modeling scale-up of particle coating by atomic layer deposition


Modeling scattering matrix containing evanescent modes for wavefront shaping applications in disordered media


Modeling single-molecule stretching experiments using statistical thermodynamics


Modeling somatic computation with non-neural bioelectric networks


Modeling state-transition dynamics in resting-state brain signals by the hidden Markov and Gaussian mixture models


Modeling still matters: a surprising instance of catastrophic floating point errors in mathematical biology and numerical methods for ODEs


Modeling stock markets through the reconstruction of market processes


Modeling tail risks of inflation using unobserved component quantile regressions


Modeling the 2022 Mpox Outbreak with a Mechanistic Network Model


Modeling the Ages and Chemical Abundances of Elliptical Galaxies


Modeling the Asymptotic Behavior of Higher-Order Aftershocks with Deep Learning


Modeling the Block Verification Time of Zcash


Modeling the Centaur: Human-Machine Synergy in Sequential Decision Making


Modeling the Cosmic Dispersion Measure in the D < 120 Mpc Local Universe


Modeling the Dynamics of Growth in Master-Planned Communities


Modeling the Dynamics of Online Learning Activity


Modeling the Dynamics of PDE Systems with Physics-Constrained Deep Auto-Regressive Networks


Modeling the Epidemic Outbreak and Dynamics of COVID-19 in Croatia


Modeling the Impact of Baryons on Subhalo Populations with Machine Learning


Modeling the Impact of Group Interactions on Climate-related Opinion Change in Reddit


Modeling the Impact of Social Distancing and Targeted Vaccination on the Spread of COVID-19 through a Real City-Scale Contact Network


Modeling the Impact of Timeline Algorithms on Opinion Dynamics Using Low-rank Updates


Modeling the Influence of Visual Density on Cluster Perception in Scatterplots Using Topology


Modeling the Lighting in Scenes as Style for Auto White-Balance Correction


Modeling the Music Genre Perception across Language-Bound Cultures


Modeling the Neonatal Brain Development Using Implicit Neural Representations


Modeling the Orbital Sampling Effect of Extrasolar Moons


Modeling the Popularity of Events on Web by Sparsity and Mutual-Excitation Guided Graph Neural Network


Modeling the Probabilistic Distribution of Unlabeled Data forOne-shot Medical Image Segmentation


Modeling the Q-Diversity in a Min-max Play Game for Robust Optimization


Modeling the Repetition-based Recovering of Acoustic and Visual Sources with Dendritic Neurons


Modeling the Severity of Complaints in Social Media


Modeling the Shape of the Brain Connectome via Deep Neural Networks


Modeling the Spectral Energy Distribution of Active Galactic Nuclei: Implications for Cosmological Simulations of Galaxy Formation


Modeling the Telemarketing Process using Genetic Algorithms and Extreme Boosting: Feature Selection and Cost-Sensitive Analytical Approach


Modeling the Temporal Nature of Human Behavior for Demographics Prediction


Modeling the Transition between Localized and Extended Deposition in Flow Networks through Packings of Glass Beads


Modeling the dynamic variability of sub-relativistic outer radiation belt electron fluxes using machine learning


Modeling the dynamics of language change: logistic regression, Piotrowski's law, and a handful of examples in Polish


Modeling the effects of environmental and perceptual uncertainty using deterministic reinforcement learning dynamics with partial observability


Modeling the evolution of COVID-19 via compartmental and particle-based approaches: application to the Cyprus case


Modeling the ferroelectric phase transition in barium titanate with DFT accuracy and converged sampling


Modeling the frequency response of microwave radiometers with QUCS


Modeling the light curve of `Oumuamua: evidence for torque and disc-like shape


Modeling the molecular impact of SARS-CoV-2 infection on the renin-angiotensin system


Modeling times to multiple events under informative censoring with C-vine copula


Modeling urbanization patterns with generative adversarial networks


ModelingAgent: Bridging LLMs and Mathematical Modeling for Real-World Challenges


Modelled Multivariate Overlap: A method for measuring vowel merger


Modelling Airway Geometry as Stock Market Data using Bayesian Changepoint Detection


Modelling Arbitrary Complex Dielectric Properties -- an automated implementation for gprMax


Modelling Big, Heterogeneous, Non-Gaussian Spatial and Spatio-Temporal Data using FRK


Modelling Bounded Rationality in Multi-Agent Interactions by Generalized Recursive Reasoning


Modelling COVID-19 transmission in supermarkets using an agent-based model


Modelling Cellular Perturbations with the Sparse Additive Mechanism Shift Variational Autoencoder


Modelling Chemical Reaction Networks using Neural Ordinary Differential Equations


Modelling Commonsense Commonalities with Multi-Facet Concept Embeddings


Modelling Commonsense Properties using Pre-Trained Bi-Encoders


Modelling Context with User Embeddings for Sarcasm Detection in Social Media


Modelling Continuum Reverberation in AGN: A Spectral-Timing Analysis of the UV Variability Through X-ray Reverberation in Fairall 9


Modelling Correlation Matrices in Multivariate Dyadic Data: Latent Variable Models for Intergenerational Exchanges of Family Support


Modelling Cosmic Radiation Events in the Tree-ring Radiocarbon Record


Modelling DNA Origami Self-Assembly at the Domain Level


Modelling Early User-Game Interactions for Joint Estimation of Survival Time and Churn Probability


Modelling Human Mobility considering Spatial,Temporal and Social Dimensions


Modelling Instance-Level Annotator Reliability for Natural Language Labelling Tasks


Modelling Langford's Problem: A Viewpoint for Search


Modelling Latent Dynamics of StyleGAN using Neural ODEs


Modelling Latent Translations for Cross-Lingual Transfer


Modelling Loss of Complexity in Intermittent Time Series and its Application


Modelling Mean-Field Games with Neural Ordinary Differential Equations


Modelling Non-Smooth Signals with Complex Spectral Structure


Modelling Nonstationary Time Series using Trend-Stationary Hypothesis


Modelling Optomechanical Responses in Optical Tweezers Beyond Paraxial Limits


Modelling Patient Trajectories Using Multimodal Information


Modelling Resistive and Phase Change Memory with Passive Selector Arrays -- A Matlab Tool


Modelling Sampling Distributions of Test Statistics with Autograd


Modelling Sentence Pairs with Tree-structured Attentive Encoder


Modelling Sequential Music Track Skips using a Multi-RNN Approach


Modelling Solar Orbiter Dust Detection Rates in Inner Heliosphere as a Poisson Process


Modelling Species Distributions with Deep Learning to Predict Plant Extinction Risk and Assess Climate Change Impacts


Modelling Spontaneous Firing Activity of the Motor Cortex in a Spiking Neural Network with Random and Local Connectivity


Modelling Stopping Criteria for Search Results using Poisson Processes


Modelling Suspense in Short Stories as Uncertainty Reduction over Neural Representation


Modelling Technical and Biological Effects in scRNA-seq data with Scalable GPLVMs


Modelling Technique for GDPR-compliance: Toward a Comprehensive Solution


Modelling Users with Item Metadata for Explainable and Interactive Recommendation


Modelling \textit{Aedes albopictus} management, incorporating immigration and bi-directional \textit{Wolbachia} interactions


Modelling a storage system of a wind farm with a ramp-rate limitation: a semi-Markov modulated Brownian bridge approach


Modelling and Control of a Knuckle Boom Crane


Modelling and Predicting Online Vaccination Views using Bow-tie Decomposition


Modelling and Simulating the Noisy Behaviour of Near-term Quantum Computers


Modelling and Verifying Neuronal Archetypes in Coq


Modelling and analysis of rank ordered data with ties via a generalized Plackett-Luce model


Modelling and classifying joint trajectories of self-reported mood and pain in a large cohort study


Modelling and predicting the effect of social distancing and travel restrictions on COVID-19 spreading


Modelling and short-term forecasting of seasonal mortality


Modelling continual learning in humans with Hebbian context gating and exponentially decaying task signals


Modelling cross-reactivity and memory in the cellular adaptive immune response to influenza infection in the host


Modelling crypto markets by multi-agent reinforcement learning


Modelling daily weight variation in honey bee hives


Modelling disease impact: lifespan reduction is greatest for young adults in an exogenous damage model of disease


Modelling emission lines in star forming galaxies


Modelling functionalized drug release for a spherical capsule


Modelling graph dynamics in fraud detection with "Attention"


Modelling hetegeneous treatment effects by quantitle local polynomial decision tree and forest


Modelling heterogeneous distributions with an Uncountable Mixture of Asymmetric Laplacians


Modelling large-deforming fluid-saturated porous media using an Eulerian incremental formulation


Modelling lattices of organic polaritons


Modelling of Underwater Vehicles using Physics-Informed Neural Networks with Control


Modelling of physical systems with a Hopf bifurcation using mechanistic models and machine learning


Modelling opinion dynamics under the impact of influencer and media strategies


Modelling pathwise uncertainty of Stochastic Differential Equations samplers via Probabilistic Numerics


Modelling phylogeny in 16S rRNA gene sequencing datasets using string kernels


Modelling physical activity profiles in COPD patients: a fully functional approach to variable domain functional regression models


Modelling planar kirigami metamaterials as generalized elastic continua


Modelling realistic 3D deformations of simple epithelia in dynamic homeostasis


Modelling realistic clay systems with ClayCode


Modelling response to trypophobia trigger using intermediate layers of ImageNet networks


Modelling sparsity, heterogeneity, reciprocity and community structure in temporal interaction data


Modelling spatial heteroskedasticity by volatility modulated moving averages


Modelling spatially autocorrelated detection probabilities in spatial capture-recapture using random effects


Modelling stars with Gaussian Process Regression: Augmenting Stellar Model Grid


Modelling stellar activity with Gaussian process regression networks


Modelling stochastic time delay for regression analysis


Modelling strong control measures for epidemic propagation with networks -- A COVID-19 case study


Modelling the Distribution of 3D Brain MRI using a 2D Slice VAE


Modelling the Hidden Flexibility of Clustered Unit Commitment


Modelling the High-Voltage Grid Using Open Data for Europe and Beyond


Modelling the Lymphatic Metastatic Progression Pathways of OPSCC from Multi-Institutional Datasets


Modelling the Multiwavelength Variability of Mrk 335 using Gaussian Processes


Modelling the Stochastic Importation Dynamics and Establishment of Novel Pathogenic Strains using a General Branching Processes Framework


Modelling the Turtle Python library in CSP


Modelling the Utility of Group Testing for Public Health Surveillance


Modelling the dynamics of cross-border ideological competition


Modelling the effect of within-host dynamics on the diversity of a multi-strain pathogen


Modelling the impact of circumbinary disk accretion on post-AGB binary evolution and surface chemistry


Modelling the impact of phenotypic heterogeneity on cell migration: a continuum framework derived from individual-based principles


Modelling the influence of data structure on learning in neural networks: the hidden manifold model


Modelling the non-linear viscoelastic behaviour of brain tissue in torsion


Modelling the response of potassium vapour in resonance scattering spectroscopy


Modelling the structure of star clusters with fractional Brownian motion


Modelling time-dependent convective penetration in 1D stellar evolution


Modelling turbulence via numerical functional integration using Burgers' equation


Modelling type 1 quasar colours in the era of Rubin and Euclid


Modelling uncertainty in coupled electricity and gas systems -- is it worth the effort?


Modelling urban networks using Variational Autoencoders


Modelling variability power spectra of active galaxies from irregular time series


Modelling volume-outcome relationships in health care


Modelling wildfire spread and spotfire merger using conformal mapping and AAA-least squares methods


Modelling wildland fire burn severity in California using a spatial Super Learner approach


Models Are Codes: Towards Measuring Malicious Code Poisoning Attacks on Pre-trained Model Hubs


Models In a Spelling Bee: Language Models Implicitly Learn the Character Composition of Tokens


Models That Are Interpretable But Not Transparent


Models and Benchmarks for Representation Learning of Partially Observed Subgraphs


Models and Datasets for Cross-Lingual Summarisation


Models as Agents: Optimizing Multi-Step Predictions of Interactive Local Models in Model-Based Multi-Agent Reinforcement Learning


Models for Capturing Temporal Smoothness in Evolving Networks for Learning Latent Representation of Nodes


Models of CM elliptic curves with a prescribed $\ell$-adic Galois image


Models of Millimeter and Radio Emission from Interacting Supernovae


Models of Quantum Algorithms in Sets and Relations


Models of Vimentin Organization Under Actin-Driven Transport


Models of reference production: How do they withstand the test of time?


Models, Pixels, and Rewards: Evaluating Design Trade-offs in Visual Model-Based Reinforcement Learning


Moderately Distributional Exploration for Domain Generalization


Moderation Matters:Measuring Conversational Moderation Impact in English as a Second Language Group Discussion


Moderator: Moderating Text-to-Image Diffusion Models through Fine-grained Context-based Policies


Modern Baselines for SPARQL Semantic Parsing


Modern Bayesian Sampling Methods for Cosmological Inference: A Comparative Study


Modern Distributed Data-Parallel Large-Scale Pre-training Strategies For NLP models


Modern Earth-like Chemical Disequilibrium Biosignatures Are Challenging To Constrain Through Spectroscopic Retrievals


Modern Hopfield Networks and Attention for Immune Repertoire Classification


Modern applications of machine learning in quantum sciences


Modernizing SMT-Based Type Error Localization


Modewise Johnson-Lindenstrauss Embeddings for Nuclear Many-Body Theory


Modification Takes Courage: Seamless Image Stitching via Reference-Driven Inpainting


Modified (hyper-)viscosity for coarse-resolution ocean models


Modified Distribution Alignment for Domain Adaptation with Pre-trained Inception ResNet


Modified Genetic Algorithm for Feature Selection and Hyper Parameter Optimization: Case of XGBoost in Spam Prediction


Modified Iterative Quantum Amplitude Estimation is Asymptotically Optimal


Modified K-means Algorithm with Local Optimality Guarantees


Modified Kernel MLAA Using Autoencoder for PET-enabled Dual-Energy CT


Modified Step Size for Enhanced Stochastic Gradient Descent: Convergence and Experiments


Modified Transfer Matrix Method for the Extraction of Material Properties via Terahertz Time-Domain Spectroscopy


Modified memoryless spectral-scaling Broyden family on Riemannian manifolds


Modified propagation of gravitational waves from the early radiation era


Modifying AI, Enhancing Essays: How Active Engagement with Generative AI Boosts Writing Quality


Modifying Gibbs sampling to avoid self transitions


Modifying Range-Doppler geometry frameworks to process Spotlight SAR imagery in Polar Format


Modifying the Chi-square and the CMH test for population genetic inference: adapting to over-dispersion


Modular 3D Interface Design for Accessible VR Applications


Modular Adaptation for Cross-Domain Few-Shot Learning


Modular Adaptation of Multilingual Encoders to Written Swiss German Dialect


Modular Adaptive Policy Selection for Multi-Task Imitation Learning through Task Division


Modular Anti-noise Deep Learning Network for Robotic Grasp Detection Based on RGB Images


Modular Block-diagonal Curvature Approximations for Feedforward Architectures


Modular Clinical Decision Support Networks (MoDN) -- Updatable, Interpretable, and Portable Predictions for Evolving Clinical Environments


Modular Cluster Circuits for the Variational Quantum Eigensolver


Modular Control Plane Verification via Temporal Invariants


Modular Control of Discrete Event System for Modeling and Mitigating Power System Cascading Failures


Modular Controllers Facilitate the Co-Optimization of Morphology and Control in Soft Robots


Modular Deep Reinforcement Learning for Continuous Motion Planning with Temporal Logic


Modular Degradation Simulation and Restoration for Under-Display Camera


Modular Denotational Semantics for Effects with Guarded Interaction Trees


Modular Gaussian Processes for Transfer Learning


Modular Grammatical Evolution for the Generation of Artificial Neural Networks


Modular Hypernetworks for Scalable and Adaptive Deep MIMO Receivers


Modular Information Flow through Ownership


Modular Learning of Deep Causal Generative Models for High-dimensional Causal Inference


Modular Networks Prevent Catastrophic Interference in Model-Based Multi-Task Reinforcement Learning


Modular Object-Oriented Games: A Task Framework for Reinforcement Learning, Psychology, and Neuroscience


Modular Primitives for High-Performance Differentiable Rendering


Modular Probabilistic Models via Algebraic Effects


Modular Prompt Learning Improves Vision-Language Models


Modular Quantization-Aware Training for 6D Object Pose Estimation


Modular Responsive Web Design using Element Queries


Modular Retrieval for Generalization and Interpretation


Modular Sensor Fusion for Semantic Segmentation


Modular Sentence Encoders: Separating Language Specialization from Cross-Lingual Alignment


Modular Universal Reparameterization: Deep Multi-task Learning Across Diverse Domains


Modular Verification of Interrupt-Driven Software


Modular Visual Question Answering via Code Generation


Modular and Extendable 1D-Simulation for Microfluidic Devices


Modular and On-demand Bias Mitigation with Attribute-Removal Subnetworks


Modular gateway-ness connectivity and structural core organization in maritime network science


Modular multiscale approach to modelling high-harmonic generation in gases


ModularFed: Leveraging Modularity in Federated Learning Frameworks


Modularity Based Community Detection in Hypergraphs


Modularity Optimization as a Training Criterion for Graph Neural Networks


Modularity Trumps Invariance for Compositional Robustness


Modularity and the spread of perturbations in complex dynamical systems


Modularity as a Means for Complexity Management in Neural Networks Learning


Modularity maximization as a flexible and generic framework for brain network exploratory analysis


Modularity through Attention: Efficient Training and Transfer of Language-Conditioned Policies for Robot Manipulation


Modularized Control Synthesis for Complex Signal Temporal Logic Specifications


Modularized Networks for Few-shot Hateful Meme Detection


Modularized Textual Grounding for Counterfactual Resilience


Modularizing while Training: A New Paradigm for Modularizing DNN Models


Modulate Your Spectrum in Self-Supervised Learning


Modulated Contrast for Versatile Image Synthesis


Modulated Diffusion: Accelerating Generative Modeling with Modulated Quantization


Modulated Fusion using Transformer for Linguistic-Acoustic Emotion Recognition


Modulated differentiable STFT and balanced spectrum metric for freight train wheelset bearing cross-machine transfer monitoring under speed fluctuations


Modulated time evolution for efficient variational ground-state preparation


Modulating Bottom-Up and Top-Down Visual Processing via Language-Conditional Filters


Modulating Scalable Gaussian Processes for Expressive Statistical Learning


Modulating and attending the source image during encoding improves Multimodal Translation


Modulation Extraction for LFO-driven Audio Effects


Modulation of early visual processing alleviates capacity limits in solving multiple tasks


ModuleFormer: Modularity Emerges from Mixture-of-Experts


Moduli spaces of tropical curves are simply connected


Modurec: Recommender Systems with Feature and Time Modulation


Modyn: Data-Centric Machine Learning Pipeline Orchestration


Modèles de Substitution pour les Modèles à base d'Agents : Enjeux, Méthodes et Applications


Moirai: Towards Optimal Placement for Distributed Inference on Heterogeneous Devices


Moire Image Restoration using Multi Level Hyper Vision Net


Moisesdb: A dataset for source separation beyond 4-stems


Mokav: Execution-driven Differential Testing with LLMs


Mol-AIR: Molecular Reinforcement Learning with Adaptive Intrinsic Rewards for Goal-directed Molecular Generation


Mol-CycleGAN - a generative model for molecular optimization


Mol-Instructions: A Large-Scale Biomolecular Instruction Dataset for Large Language Models


Mol-MoE: Training Preference-Guided Routers for Molecule Generation


MolCA: Molecular Graph-Language Modeling with Cross-Modal Projector and Uni-Modal Adapter


MolCap-Arena: A Comprehensive Captioning Benchmark on Language-Enhanced Molecular Property Prediction


MolDStruct: modelling the dynamics and structure of matter exposed to ultrafast X-ray lasers with hybrid collisional-radiative/molecular dynamics


MolDiff: Addressing the Atom-Bond Inconsistency Problem in 3D Molecule Diffusion Generation


MolGraph: a Python package for the implementation of molecular graphs and graph neural networks with TensorFlow and Keras


MolGrapher: Graph-based Visual Recognition of Chemical Structures


MolHF: A Hierarchical Normalizing Flow for Molecular Graph Generation


MolMetaLM: a Physicochemical Knowledge-Guided Molecular Meta Language Model


MolMix: A Simple Yet Effective Baseline for Multimodal Molecular Representation Learning


MolNet: A Chemically Intuitive Graph Neural Network for Prediction of Molecular Properties


MolNexTR: A Generalized Deep Learning Model for Molecular Image Recognition


MolPLA: A Molecular Pretraining Framework for Learning Cores, R-Groups and their Linker Joints


MolScribe: Robust Molecular Structure Recognition with Image-To-Graph Generation


MolSets: Molecular Graph Deep Sets Learning for Mixture Property Modeling


MolSpectra: Pre-training 3D Molecular Representation with Multi-modal Energy Spectra


MolTC: Towards Molecular Relational Modeling In Language Models


MolTailor: Tailoring Chemical Molecular Representation to Specific Tasks via Text Prompts


MolTrans: Molecular Interaction Transformer for Drug Target Interaction Prediction


MolXPT: Wrapping Molecules with Text for Generative Pre-training


Mold into a Graph: Efficient Bayesian Optimization over Mixed-Spaces


Molding CNNs for text: non-linear, non-consecutive convolutions


Mole Recruitment: Poisoning of Image Classifiers via Selective Batch Sampling


Molecular Cloud Populations in the Context of Their Host Galaxy Environments: A Multiwavelength Perspective


Molecular Contrastive Learning of Representations via Graph Neural Networks


Molecular Contrastive Learning with Chemical Element Knowledge Graph


Molecular Design Using Signal Processing and Machine Learning: Time-Frequency-like Representation and Forward Design


Molecular Facts: Desiderata for Decontextualization in LLM Fact Verification


Molecular Gas Properties and CO-to-H2 Conversion Factors in the Central Kiloparsec of NGC 3351


Molecular Generative Model Based On Adversarially Regularized Autoencoder


Molecular Graph Contrastive Learning with Line Graph


Molecular Graph Representation Learning Integrating Large Language Models with Domain-specific Small Models


Molecular Graph Representation Learning via Structural Similarity Information


Molecular Machine Learning Using Euler Characteristic Transforms


Molecular Mechanics-Driven Graph Neural Network with Multiplex Graph for Molecular Structures


Molecular Property Prediction: A Multilevel Quantum Interactions Modeling Perspective


Molecular Quantum Circuit Design: A Graph-Based Approach


Molecular Representation Learning via Heterogeneous Motif Graph Neural Networks


Molecular Substructure-Aware Network for Drug-Drug Interaction Prediction


Molecular Transformer - A Model for Uncertainty-Calibrated Chemical Reaction Prediction


Molecular and solid-state topological polaritons induced by population imbalance


Molecular causality in the advent of foundation models


Molecular chirality quantification: Tools and benchmarks


Molecular dynamics simulation with finite electric fields using Perturbed Neural Network Potentials


Molecular dynamics without molecules: searching the conformational space of proteins with generative neural networks


Molecular gas in the Herschel-selected strongly lensed submillimeter galaxies at z~2-4 as probed by multi-J CO lines


Molecular geometry prediction using a deep generative graph neural network


Molecular groundstate determination via short pulses on superconducting qubits


Molecular relaxation by reverse diffusion with time step prediction


Molecular representation learning with language models and domain-relevant auxiliary tasks


MolecularGPT: Open Large Language Model (LLM) for Few-Shot Molecular Property Prediction


Molecule Design by Latent Space Energy-Based Modeling and Gradual Distribution Shifting


Molecule Edit Graph Attention Network: Modeling Chemical Reactions as Sequences of Graph Edits


Molecule Generation and Optimization for Efficient Fragrance Creation


Molecule Generation for Target Protein Binding with Hierarchical Consistency Diffusion Model


Molecule Graph Networks with Many-body Equivariant Interactions


Molecule Identification with Rotational Spectroscopy and Probabilistic Deep Learning


Molecule-Morphology Contrastive Pretraining for Transferable Molecular Representation


MoleculeCLA: Rethinking Molecular Benchmark via Computational Ligand-Target Binding Analysis


MoleculeQA: A Dataset to Evaluate Factual Accuracy in Molecular Comprehension


Molly: A Verified Compiler for Cryptoprotocol Roles


Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models


Molweni: A Challenge Multiparty Dialogues-based Machine Reading Comprehension Dataset with Discourse Structure


Moment Approximations and Model Cascades for Shallow Flow


Moment Centralization based Gradient Descent Optimizers for Convolutional Neural Networks


Moment Estimation for Nonparametric Mixture Models Through Implicit Tensor Decomposition


Moment Matching Deep Contrastive Latent Variable Models


Moment Matching Denoising Gibbs Sampling


Moment Relaxations for Data-Driven Wasserstein Distributionally Robust Optimization


Moment of Untruth: Dealing with Negative Queries in Video Moment Retrieval


Moment-Matching Graph-Networks for Causal Inference


Moment-based Estimation of Mixtures of Regression Models


Moment-based Random-effects Meta-analysis Equipped with Huber's M-Estimation


Moment-based analysis of biochemical feedback circuits in a population of chemically interacting cells


Moment-based metrics for molecules computable from cryo-EM images


Moment-based parameter inference with error guarantees for stochastic reaction networks


MomentClosure.jl: automated moment closure approximations in Julia


MomentDiff: Generative Video Moment Retrieval from Random to Real


Momentor: Advancing Video Large Language Model with Fine-Grained Temporal Reasoning


Moments of Uniform Random Multigraphs with Fixed Degree Sequences


Momentum Auxiliary Network for Supervised Local Learning


Momentum Centering and Asynchronous Update for Adaptive Gradient Methods


Momentum Decoding: Open-ended Text Generation As Graph Exploration


Momentum Stiefel Optimizer, with Applications to Suitably-Orthogonal Attention, and Optimal Transport


Momentum-GS: Momentum Gaussian Self-Distillation for High-Quality Large Scene Reconstruction


Momentum-SAM: Sharpness Aware Minimization without Computational Overhead


MomentumRNN: Integrating Momentum into Recurrent Neural Networks


MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts


MonArch: Network Slice Monitoring Architecture for Cloud Native 5G Deployments


MonSter: Marry Monodepth to Stereo Unleashes Power


MonaCoBERT: Monotonic attention based ConvBERT for Knowledge Tracing


Monads and "do" notation in the Wolfram Language


Monant Medical Misinformation Dataset: Mapping Articles to Fact-Checked Claims


Monarch: Expressive Structured Matrices for Efficient and Accurate Training


MonarchAttention: Zero-Shot Conversion to Fast, Hardware-Aware Structured Attention


Monaural Audio Speaker Separation with Source Contrastive Estimation


Mondrian Forests: Efficient Online Random Forests


Moner: Motion Correction in Undersampled Radial MRI with Unsupervised Neural Representation


Monet: Mixture of Monosemantic Experts for Transformers


MonetDBLite: An Embedded Analytical Database


Monetizing Propaganda: How Far-right Extremists Earn Money by Video Streaming


Money Over Morals: A Business Analysis of Conti Ransomware


Monge-Ampere Regularization for Learning Arbitrary Shapes from Point Clouds


Monge-Kantorovich Optimal Transport Through Constrictions and Flow-rate Constraints


Monge-Kantorovich quantiles and ranks for image data


MongeNet: Efficient Sampler for Geometric Deep Learning


Monitored Distillation for Positive Congruent Depth Completion


Monitoring Decomposition Attacks in LLMs with Lightweight Sequential Monitors


Monitoring Depression in Bipolar Disorder using Circadian Measures from Smartphone Accelerometers


Monitoring Latent World States in Language Models with Propositional Probes


Monitoring Open Access at a national level: French case study


Monitoring Public Behavior During a Pandemic Using Surveys: Proof-of-Concept Via Epidemic Modelling


Monitoring Spatial Sustainable Development: semi-automated analysis of Satellite and Aerial Images for Energy Transition and Sustainability Indicators


Monitoring Term Drift Based on Semantic Consistency in an Evolving Vector Field


Monitoring and Adapting the Physical State of a Camera for Autonomous Vehicles


Monitoring machine learning (ML)-based risk prediction algorithms in the presence of confounding medical interventions


Monitoring of Perception Systems: Deterministic, Probabilistic, and Learning-based Fault Detection and Identification


Monitoring of Urban Changes with multi-modal Sentinel 1 and 2 Data in Mariupol, Ukraine, in 2022/23


Monitoring the COVID-19 epidemic with nationwide telecommunication data


Monitoring the spread of COVID-19 by estimating reproduction numbers over time


Monkey Business: Reinforcement learning meets neighborhood search for Virtual Network Embedding


Monkey See, Monkey Do: Harnessing Self-attention in Motion Diffusion for Zero-shot Motion Transfer


MonkeyOCR: Document Parsing with a Structure-Recognition-Relation Triplet Paradigm


Monkeypox disease recognition model based on improved SE-InceptionV3


Mono vs Multilingual Transformer-based Models: a Comparison across Several Language Tasks


Mono-STAR: Mono-camera Scene-level Tracking and Reconstruction


Mono-ViFI: A Unified Learning Framework for Self-supervised Single- and Multi-frame Monocular Depth Estimation


Mono2Micro: A Practical and Effective Tool for Decomposing Monolithic Java Applications to Microservices


Mono3DVG: 3D Visual Grounding in Monocular Images


Mono: Is Your "Clean" Vulnerability Dataset Really Solvable? Exposing and Trapping Undecidable Patches and Beyond


MonoByte: A Pool of Monolingual Byte-level Language Models


MonoCD: Monocular 3D Object Detection with Complementary Depths


MonoCap: Monocular Human Motion Capture using a CNN Coupled with a Geometric Prior


MonoDETR: Depth-guided Transformer for Monocular 3D Object Detection


MonoDGP: Monocular 3D Object Detection with Decoupled-Query and Geometry-Error Priors


MonoDTR: Monocular 3D Object Detection with Depth-Aware Transformer


MonoDiff9D: Monocular Category-Level 9D Object Pose Estimation via Diffusion Model


MonoDiffusion: Self-Supervised Monocular Depth Estimation Using Diffusion Model


MonoDistill: Learning Spatial Features for Monocular 3D Object Detection


MonoFormer: One Transformer for Both Diffusion and Autoregression


MonoGRNet: A Geometric Reasoning Network for Monocular 3D Object Localization


MonoGround: Detecting Monocular 3D Objects from the Ground


MonoJSG: Joint Semantic and Geometric Cost Volume for Monocular 3D Object Detection


MonoKAN: Certified Monotonic Kolmogorov-Arnold Network


MonoLSS: Learnable Sample Selection For Monocular 3D Detection


MonoMVSNet: Monocular Priors Guided Multi-View Stereo Network


MonoNeRD: NeRF-like Representations for Monocular 3D Object Detection


MonoOcc: Digging into Monocular Semantic Occupancy Prediction


MonoPIC - A Monocular Low-Latency Pedestrian Intention Classification Framework for IoT Edges Using ID3 Modelled Decision Trees


MonoPLFlowNet: Permutohedral Lattice FlowNet for Real-Scale 3D Scene FlowEstimation with Monocular Images


MonoPlane: Exploiting Monocular Geometric Cues for Generalizable 3D Plane Reconstruction


MonoProb: Self-Supervised Monocular Depth Estimation with Interpretable Uncertainty


MonoRUn: Monocular 3D Object Detection by Reconstruction and Uncertainty Propagation


MonoRec: Semi-Supervised Dense Reconstruction in Dynamic Environments from a Single Moving Camera


MonoSIM: Simulating Learning Behaviors of Heterogeneous Point Cloud Object Detectors for Monocular 3D Object Detection


MonoSKD: General Distillation Framework for Monocular 3D Object Detection via Spearman Correlation Coefficient


MonoSplat: Generalizable 3D Gaussian Splatting from Monocular Depth Foundation Models


MonoTAKD: Teaching Assistant Knowledge Distillation for Monocular 3D Object Detection


MonoTODia: Translating Monologue Requests to Task-Oriented Dialogues


MonoViT: Self-Supervised Monocular Depth Estimation with a Vision Transformer


MonoWAD: Weather-Adaptive Diffusion Model for Robust Monocular 3D Object Detection


Monochromatic high-harmonic generation by Bessel-Gauss beam in periodically modulated media


Monocular 2D Camera-based Proximity Monitoring for Human-Machine Collision Warning on Construction Sites


Monocular 3D Hand Mesh Recovery via Dual Noise Estimation


Monocular 3D Hand Pose Estimation with Implicit Camera Alignment


Monocular 3D Human Pose Estimation by Generation and Ordinal Ranking


Monocular 3D Human Pose Estimation for Sports Broadcasts using Partial Sports Field Registration


Monocular 3D Object Detection with Pseudo-LiDAR Point Cloud


Monocular 3D Object Detection with Sequential Feature Association and Depth Hint Augmentation


Monocular 3D Object Reconstruction with GAN Inversion


Monocular 3D Vehicle Detection Using Uncalibrated Traffic Cameras through Homography


Monocular Camera Localization in Prior LiDAR Maps with 2D-3D Line Correspondences


Monocular Camera and Single-Beam Sonar-Based Underwater Collision-Free Navigation with Domain Randomization


Monocular Depth Decomposition of Semi-Transparent Volume Renderings


Monocular Depth Distribution Alignment with Low Computation


Monocular Depth Estimation and Segmentation for Transparent Object with Iterative Semantic and Geometric Fusion


Monocular Depth Estimation through Virtual-world Supervision and Real-world SfM Self-Supervision


Monocular Depth Estimation via Listwise Ranking using the Plackett-Luce Model


Monocular Depth Prediction through Continuous 3D Loss


Monocular Dynamic View Synthesis: A Reality Check


Monocular Expressive Body Regression through Body-Driven Attention


Monocular Human-Object Reconstruction in the Wild


Monocular LSD-SLAM Integration within AR System


Monocular Lane Detection Based on Deep Learning: A Survey


Monocular Obstacle Avoidance Based on Inverse PPO for Fixed-wing UAVs


Monocular Occupancy Prediction for Scalable Indoor Scenes


Monocular Real-Time Volumetric Performance Capture


Monocular Simultaneous Localization and Mapping using Ground Textures


Monocular Visual-Inertial Depth Estimation


Monocular visual autonomous landing system for quadcopter drones using software in the loop


Monodromy of the family of cubic surfaces branching over smooth cubic curves


Monoidal Rips: Stable Multiparameter Filtrations of Directed Networks


Monolingual or Multilingual Instruction Tuning: Which Makes a Better Alpaca


Monolith to Microservices: Representing Application Software through Heterogeneous Graph Neural Network


Monolithic Algebraic Multigrid Preconditioners for the Stokes Equations


Monolithic Convex Limiting for Legendre-Gauss-Lobatto Discontinuous Galerkin Spectral Element Methods


Monolithic simulation of convection-coupled phase-change - verification and reproducibility


Monolithic vs. hybrid controller for multi-objective Sim-to-Real learning


Monomial Matrix Group Equivariant Neural Functional Networks


Monomial-agnostic computation of vanishing ideals


Monopole current control in artificial spin ice via localized fields


Monotone Cubic B-Splines with a Neural-Network Generator


Monotone function estimation in the presence of extreme data coarsening: Analysis of preeclampsia and birth weight in urban Uganda


Monotone-Value Neural Networks: Exploiting Preference Monotonicity in Combinatorial Assignment


Monotonic Location Attention for Length Generalization


Monotonic Paraphrasing Improves Generalization of Language Model Prompting


Monotonic Representation of Numeric Properties in Language Models


Monotonic Risk Relationships under Distribution Shifts for Regularized Risk Minimization


Monotonic Safety for Scalable and Data-Efficient Probabilistic Safety Analysis


Monotonicity Marking from Universal Dependency Trees


Monotonicity in Quadratically Regularized Linear Programs


Monotonicity of Multi-Term Floating-Point Adders


Montage: A Neural Network Language Model-Guided JavaScript Engine Fuzzer


MontageGAN: Generation and Assembly of Multiple Components by GANs


Montague semantics and modifier consistency measurement in neural language models


Monte Carlo Convolution for Learning on Non-Uniformly Sampled Point Clouds


Monte Carlo Elites: Quality-Diversity Selection as a Multi-Armed Bandit Problem


Monte Carlo Estimation of the Density of the Sum of Dependent Random Variables


Monte Carlo Experiments of Network Effects in Randomized Controlled Trials


Monte Carlo Gradient Estimation in Machine Learning


Monte Carlo Grid Dynamic Programming: Almost Sure Convergence and Probability Constraints


Monte Carlo Integration in Simple and Complex Simulation Designs


Monte Carlo Method for Calculating Oxygen Abundances and Their Uncertainties from Strong-Line Flux Measurements


Monte Carlo Methods for the Game Kingdomino


Monte Carlo Motion Planning for Robot Trajectory Optimization Under Uncertainty


Monte Carlo Neural PDE Solver for Learning PDEs via Probabilistic Representation


Monte Carlo Path Tracing and Statistical Event Detection for Event Camera Simulation


Monte Carlo Policy Gradient Method for Binary Optimization


Monte Carlo Sensitivity Coefficients and Analytical Benchmarks for Unresolved Resonance Probability Tables


Monte Carlo Syntax Marginals for Exploring and Using Dependency Parses


Monte Carlo Tree Search based Space Transfer for Black-box Optimization


Monte Carlo Tree Search based Variable Selection for High Dimensional Bayesian Optimization


Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design


Monte Carlo Tree Search for Interpreting Stress in Natural Language


Monte Carlo Tree Search in the Presence of Transition Uncertainty


Monte Carlo Tree Search with Boltzmann Exploration


Monte Carlo Tree Search with Spectral Expansion for Planning with Dynamical Systems


Monte Carlo calculations for simulating electron scattering in gas phase


Monte Carlo execution time estimation for Privacy-preserving Distributed Function Evaluation protocols


Monte Carlo guided Diffusion for Bayesian linear inverse problems


Monte Carlo radiative transfer with explicit absorption to simulate absorption, scattering, and stimulated emission


Monte Carlo sampling with integrator snippets


Monte Carlo simulation on the Stiefel manifold via polar expansion


Monte Carlo with Determinantal Point Processes


Monte-Carlo Tree Search for Behavior Planning in Autonomous Driving


MonteBoxFinder: Detecting and Filtering Primitives to Fit a Noisy Point Cloud


MonteCarloMeasurements.jl: Nonlinear Propagation of Arbitrary Multivariate Distributions by means of Method Overloading


Montessori-Instruct: Generate Influential Training Data Tailored for Student Learning


MooER: LLM-based Speech Recognition and Translation Models from Moore Threads


Mood Classification Using Listening Data


Moodle Usability Assessment Methodology using the Universal Design for Learning perspective


Moon in a puddle and the four-vertex theorem


MoonCast: High-Quality Zero-Shot Podcast Generation


MoonGen: A Scriptable High-Speed Packet Generator


MoonLight: A Lightweight Tool for Monitoring Spatio-Temporal Properties


MoonMetaSync: Lunar Image Registration Analysis


Mooncake: A KVCache-centric Disaggregated Architecture for LLM Serving


Moonshine: An Online Randomness Distiller for Zero-Involvement Authentication


Moonshine: Distilling with Cheap Convolutions


Moonshine: Speech Recognition for Live Transcription and Voice Commands


MooseAgent: A LLM Based Multi-agent Framework for Automating Moose Simulation


MooseNet: A Trainable Metric for Synthesized Speech with a PLDA Module


Moosinesq Convection in the Cores of Moosive Stars


MoqaGPT : Zero-Shot Multi-modal Open-domain Question Answering with Large Language Model


Mora: Enabling Generalist Video Generation via A Multi-Agent Framework


Moral Foundations of Large Language Models


Moral Persuasion in Large Language Models: Evaluating Susceptibility and Ethical Alignment


Moral Stories: Situated Reasoning about Norms, Intents, Actions, and their Consequences


MoralBERT: A Fine-Tuned Language Model for Capturing Moral Values in Social Discussions


MoralDial: A Framework to Train and Evaluate Moral Dialogue Systems via Moral Discussions


MoralStrength: Exploiting a Moral Lexicon and Embedding Similarity for Moral Foundations Prediction


Morality is Non-Binary: Building a Pluralist Moral Sentence Embedding Space using Contrastive Learning


Mordecai 3: A Neural Geoparser and Event Geocoder


More Accurate Recommendations for Method-Level Changes


More Centralized Training, Still Decentralized Execution: Multi-Agent Conditional Policy Factorization


More Data Types More Problems: A Temporal Analysis of Complexity, Stability, and Sensitivity in Privacy Policies


More Discriminative Sentence Embeddings via Semantic Graph Smoothing


More Diverse Means Better: Multimodal Deep Learning Meets Remote Sensing Imagery Classification


More Efficient Policy Learning via Optimal Retargeting


More Efficient Randomized Exploration for Reinforcement Learning via Approximate Sampling


More Efficient Sampling for Tensor Decomposition With Worst-Case Guarantees


More Efficient Sybil Detection Mechanisms Leveraging Resistance of Users to Attack Requests


More Experts Than Galaxies: Conditionally-overlapping Experts With Biologically-Inspired Fixed Routing


More Expressive Attention with Negative Weights


More Flexible PAC-Bayesian Meta-Learning by Learning Learning Algorithms


More Grounded Image Captioning by Distilling Image-Text Matching Model


More Hierarchy in Route Planning Using Edge Hierarchies


More Identifiable yet Equally Performant Transformers for Text Classification


More Is Less: Learning Efficient Video Representations by Big-Little Network and Depthwise Temporal Aggregation


More RLHF, More Trust? On The Impact of Preference Alignment On Trustworthiness


More Robust Dense Retrieval with Contrastive Dual Learning


More Room for Language: Investigating the Effect of Retrieval on Language Models


More Tales of Hoffman: bounds for the vector chromatic number of a graph


More Text, Less Point: Towards 3D Data-Efficient Point-Language Understanding


More Than Meets the Eye: Self-Supervised Depth Reconstruction From Brain Activity


More Than React: Investigating The Role of Emoji Reaction in GitHub Pull Requests


More complex encoder is not all you need


More comprehensive facial inversion for more effective expression recognition


More entropy from shorter experiments using polytope approximations to the quantum set


More for Less: Safe Policy Improvement With Stronger Performance Guarantees


More is More: Addition Bias in Large Language Models


More is not Always Better: The Negative Impact of A-box Materialization on RDF2vec Knowledge Graph Embeddings


More on the tensionless limit of pure-Ramond-Ramond AdS3/CFT2


More than Meets the Tie: Examining the Role of Interpersonal Relationships in Social Networks


More than just Frequency? Demasking Unsupervised Hypernymy Prediction Methods


More to Less (M2L): Enhanced Health Recognition in the Wild with Reduced Modality of Wearable Sensors


More variable circadian rhythms in epilepsy captured by long-term heart rate recordings from wearable sensors


MoreFit: A More Optimised, Rapid and Efficient Fit


MoreFusion: Multi-object Reasoning for 6D Pose Estimation from Volumetric Fusion


MoreHopQA: More Than Multi-hop Reasoning


MoreStyle: Relax Low-frequency Constraint of Fourier-based Image Reconstruction in Generalizable Medical Image Segmentation


Moreau-Yoshida Variational Transport: A General Framework For Solving Regularized Distributional Optimization Problems


MoreauGrad: Sparse and Robust Interpretation of Neural Networks via Moreau Envelope


MoreauPruner: Robust Pruning of Large Language Models against Weight Perturbations


Morello: Compiling Fast Neural Networks with Dynamic Programming and Spatial Compression


Morfessor EM+Prune: Improved Subword Segmentation with Expectation Maximization and Pruning


Morig: Motion-aware rigging of character meshes from point clouds


Morph Call: Probing Morphosyntactic Content of Multilingual Transformers


MorphEyes: Variable Baseline Stereo For Quadrotor Navigation


MorphGrower: A Synchronized Layer-by-layer Growing Approach for Plausible Neuronal Morphology Generation


MorphMLP: An Efficient MLP-Like Backbone for Spatial-Temporal Representation Learning


MorphPool: Efficient Non-linear Pooling & Unpooling in CNNs


MorphQ: Metamorphic Testing of the Qiskit Quantum Computing Platform


MorphStream: Scalable Processing of Transactions over Streams on Multicores


MorphTE: Injecting Morphology in Tensorized Embeddings


Morphable Detector for Object Detection on Demand


Morphable Diffusion: 3D-Consistent Diffusion for Single-image Avatar Creation


Morphable Face Models - An Open Framework


MorpheuS: Neural Dynamic 360° Surface Reconstruction from Monocular RGB-D Video


MorpheuS: generating structured music with constrained patterns and tension


MorpheusNet: Resource efficient sleep stage classifier for embedded on-line systems


MorphiNet: A Graph Subdivision Network for Adaptive Bi-ventricle Surface Reconstruction


Morphing Tokens Draw Strong Masked Image Models


Morphing and Sampling Network for Dense Point Cloud Completion


Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation Learning


MorphoSeg: An Uncertainty-Aware Deep Learning Method for Biomedical Segmentation of Complex Cellular Morphologies


MorphoSkel3D: Morphological Skeletonization of 3D Point Clouds for Informed Sampling in Object Classification and Retrieval


Morphological Analyzer and Generator for Russian and Ukrainian Languages


Morphological Classification of Extragalactic Radio Sources Using Gradient Boosting Methods


Morphological Classification of Galaxies Using SpinalNet


Morphological Classification of Radio Galaxies with wGAN-supported Augmentation


Morphological Development at the Evolutionary Timescale: Robotic Developmental Evolution


Morphological Inflection Generation with Hard Monotonic Attention


Morphological Inflection with Phonological Features


Morphological Inflection: A Reality Check


Morphological Networks for Image De-raining


Morphological Prototyping for Unsupervised Slide Representation Learning in Computational Pathology


Morphological Tagging and Lemmatization of Albanian: A Manually Annotated Corpus and Neural Models


Morphological Wobbling Can Help Robots Learn


Morphological classification of compact and extended radio galaxies using convolutional neural networks and data augmentation techniques


Morphological-Symmetry-Equivariant Heterogeneous Graph Neural Network for Robotic Dynamics Learning


Morphology Matters: A Multilingual Language Modeling Analysis


Morphology dictates a robot's ability to ground crowd-proposed language


Morphology of Hydrodynamic Winds: A Study of Planetary Winds in Stellar Environments


Morphology of Relativistically Broadened Line Emission from Axisymmetric Equatorial Accretion Disks


Morphology of clean and surfactant-laden droplets in homogeneous isotropic turbulence


Morphology-Aware Interactive Keypoint Estimation


Morphology-Enhanced CAM-Guided SAM for weakly supervised Breast Lesion Segmentation


Morphology-preserving Autoregressive 3D Generative Modelling of the Brain


Morphometry on the sphere: Cartesian and irreducible Minkowski tensors explained and implemented


Morphosyntactic Tagging with Pre-trained Language Models for Arabic and its Dialects


Morphosyntactic probing of multilingual BERT models


Morphset:Augmenting categorical emotion datasets with dimensional affect labels using face morphing


Morphy: A Datamorphic Software Test Automation Tool


Morse Graphs: Topological Tools for Analyzing the Global Dynamics of Robot Controllers


Morse: Dual-Sampling for Lossless Acceleration of Diffusion Models


Mortality Forecasting using Variational Inference


Mortality Modelling using Generalized Estimating Equations


Mortality Prediction with Adaptive Feature Importance Recalibration for Peritoneal Dialysis Patients: a deep-learning-based study on a real-world longitudinal follow-up dataset


Mortality simulations for insured and general populations


Mortgage Securitization Dynamics in the Aftermath of Natural Disasters: A Reply


MortonNet: Self-Supervised Learning of Local Features in 3D Point Clouds


Mosaic-skeleton approximation is all you need for Smoluchowski equations


MosaicBERT: A Bidirectional Encoder Optimized for Fast Pretraining


MosaicFusion: Diffusion Models as Data Augmenters for Large Vocabulary Instance Segmentation


Moser Flow: Divergence-based Generative Modeling on Manifolds


Moshpit SGD: Communication-Efficient Decentralized Training on Heterogeneous Unreliable Devices


MosquitoFusion: A Multiclass Dataset for Real-Time Detection of Mosquitoes, Swarms, and Breeding Sites Using Deep Learning


MosquitoMiner: A Light Weight Rover for Detecting and Eliminating Mosquito Breeding Sites


Most Activation Functions Can Win the Lottery Without Excessive Depth


Most Expected Winner: An Interpretation of Winners over Uncertain Voter Preferences


Most Influential Subset Selection: Challenges, Promises, and Beyond


Most Language Models can be Poets too: An AI Writing Assistant and Constrained Text Generation Studio


Most claimed statistical findings in cross-sectional return predictability are likely true


Most discriminative stimuli for functional cell type clustering


Most general EFTs from spurion analysis: Hilbert series and Minimal Lepton Flavor Violation


Mostree : Malicious Secure Private Decision Tree Evaluation with Sublinear Communication


Motamot: A Dataset for Revealing the Supremacy of Large Language Models over Transformer Models in Bengali Political Sentiment Analysis


MotePy: A domain specific language for low-overhead machine learning and data processing


Motif Enhanced Recommendation over Heterogeneous Information Network


Motif Guided Graph Transformer with Combinatorial Skeleton Prototype Learning for Skeleton-Based Person Re-Identification


Motif-Backdoor: Rethinking the Backdoor Attack on Graph Neural Networks via Motifs


Motif-Based Visual Analysis of Dynamic Networks


Motif-Centric Representation Learning for Symbolic Music


Motif-aware Attribute Masking for Molecular Graph Pre-training


Motif-aware Riemannian Graph Neural Network with Generative-Contrastive Learning


Motif-based Convolutional Neural Network on Graphs


Motif-based Graph Representation Learning with Application to Chemical Molecules


Motif: Intrinsic Motivation from Artificial Intelligence Feedback


MotifBench: A standardized protein design benchmark for motif-scaffolding problems


MotifClass: Weakly Supervised Text Classification with Higher-order Metadata Information


MotifGPL: Motif-Enhanced Graph Prototype Learning for Deciphering Urban Social Segregation


MotifPiece: A Data-Driven Approach for Effective Motif Extraction and Molecular Representation Learning


MotifRetro: Exploring the Combinability-Consistency Trade-offs in retrosynthesis via Dynamic Motif Editing


MotifbreakR v2: extended capability and database integration


Motiflets -- Simple and Accurate Detection of Motifs in Time Series


Motifs in earthquake networks: Romania, Italy, United States of America, and Japan


Motifs-based Recommender System via Hypergraph Convolution and Contrastive Learning


Motion Anything: Any to Motion Generation


Motion Artifact Removal in Pixel-Frequency Domain via Alternate Masks and Diffusion Model


Motion Avatar: Generate Human and Animal Avatars with Arbitrary Motion


Motion Aware Self-Supervision for Generic Event Boundary Detection


Motion Basis Learning for Unsupervised Deep Homography Estimation with Subspace Projection


Motion Blender Gaussian Splatting for Dynamic Scene Reconstruction


Motion Blur Decomposition with Cross-shutter Guidance


Motion Blur Filtering: A Statistical Approach for Extracting Confinement Forces and Diffusivity from a Single Blurred Trajectory


Motion Capture Dataset for Practical Use of AI-based Motion Editing and Stylization


Motion Code: Robust Time Series Classification and Forecasting via Sparse Variational Multi-Stochastic Processes Learning


Motion Comparator: Visual Comparison of Robot Motions


Motion Correction and Volumetric Reconstruction for Fetal Functional Magnetic Resonance Imaging Data


Motion Detection using CSI from Raspberry Pi 4


Motion Diffusion Autoencoders: Enabling Attribute Manipulation in Human Motion Demonstrated on Karate Techniques


Motion Dreamer: Realizing Physically Coherent Video Generation through Scene-Aware Motion Reasoning


Motion Forecasting in Continuous Driving


Motion Generation from Fine-grained Textual Descriptions


Motion Graph Unleashed: A Novel Approach to Video Prediction


Motion In-Betweening with Phase Manifolds


Motion Inbetweening via Deep $Δ$-Interpolator


Motion Macro Programming on Assistive Robotic Manipulators: Three Skill Types for Everyday Tasks


Motion Magnification in Robotic Sonography: Enabling Pulsation-Aware Artery Segmentation


Motion Mamba: Efficient and Long Sequence Motion Generation


Motion Matching for Character Animation and Virtual Reality Avatars in Unity


Motion Matters: Neural Motion Transfer for Better Camera Physiological Measurement


Motion Perceiver: Real-Time Occupancy Forecasting for Embedded Systems


Motion Planning Explorer: Visualizing Local Minima using a Local-Minima Tree


Motion Planning around Obstacles with Convex Optimization


Motion Planning for Triple-Axis Spectrometers


Motion Planning in Dynamic Environments Using Context-Aware Human Trajectory Prediction


Motion Prediction Using Temporal Inception Module


Motion Primitives based Path Planning with Rapidly-exploring Random Tree


Motion Puzzle: Arbitrary Motion Style Transfer by Body Part


Motion Question Answering via Modular Motion Programs


Motion Representations for Articulated Animation


Motion Robust High-Speed Light-Weighted Object Detection With Event Camera


Motion Segmentation by Exploiting Complementary Geometric Models


Motion Segmentation for Neuromorphic Aerial Surveillance


Motion Segmentation using Frequency Domain Transformer Networks


Motion Sickness Modeling with Visual Vertical Estimation and Its Application to Autonomous Personal Mobility Vehicles


Motion Style Transfer: Modular Low-Rank Adaptation for Deep Motion Forecasting


Motion Transfer-Driven intra-class data augmentation for Finger Vein Recognition


Motion Transformer for Unsupervised Image Animation


Motion Vector Extrapolation for Video Object Detection


Motion and Region Aware Adversarial Learning for Fall Detection with Thermal Imaging


Motion clouds: model-based stimulus synthesis of natural-like random textures for the study of motion perception


Motion correction in MRI using deep learning and a novel hybrid loss function


Motion meets Attention: Video Motion Prompts


Motion of Spinning Particles around Black Holes


Motion-Agent: A Conversational Framework for Human Motion Generation with LLMs


Motion-Aware Optical Camera Communication with Event Cameras


Motion-Based Handwriting Recognition and Word Reconstruction


Motion-Encoded Particle Swarm Optimization for Moving Target Search Using UAVs


Motion-Excited Sampler: Video Adversarial Attack with Sparked Prior


Motion-Guided Dual-Camera Tracker for Endoscope Tracking and Motion Analysis in a Mechanical Gastric Simulator


Motion-Guided Latent Diffusion for Temporally Consistent Real-world Video Super-resolution


Motion-Invariant Variational Auto-Encoding of Brain Structural Connectomes


Motion-adaptive Separable Collaborative Filters for Blind Motion Deblurring


Motion-aware Contrastive Video Representation Learning via Foreground-background Merging


Motion-aware Memory Network for Fast Video Salient Object Detection


Motion-compensated MR CINE reconstruction with reconstruction-driven motion estimation


Motion-from-Blur: 3D Shape and Motion Estimation of Motion-blurred Objects in Videos


Motion-prior Contrast Maximization for Dense Continuous-Time Motion Estimation


Motion-related Artefact Classification Using Patch-based Ensemble and Transfer Learning in Cardiac MRI


Motion-robust free-running volumetric cardiovascular MRI


Motion-to-Matching: A Mixed Paradigm for 3D Single Object Tracking


Motion2Language, unsupervised learning of synchronized semantic motion segmentation


MotionAGFormer: Enhancing 3D Human Pose Estimation with a Transformer-GCNFormer Network


MotionAug: Augmentation with Physical Correction for Human Motion Prediction


MotionAura: Generating High-Quality and Motion Consistent Videos using Discrete Diffusion


MotionBERT: A Unified Perspective on Learning Human Motion Representations


MotionBEV: Attention-Aware Online LiDAR Moving Object Segmentation with Bird's Eye View based Appearance and Motion Features


MotionBank: A Large-scale Video Motion Benchmark with Disentangled Rule-based Annotations


MotionBenchMaker: A Tool to Generate and Benchmark Motion Planning Datasets


MotionCLIP: Exposing Human Motion Generation to CLIP Space


MotionChain: Conversational Motion Controllers via Multimodal Prompts


MotionCom: Automatic and Motion-Aware Image Composition with LLM and Video Diffusion Prior


MotionCraft: Crafting Whole-Body Motion with Plug-and-Play Multimodal Controls


MotionCraft: Physics-based Zero-Shot Video Generation


MotionCrafter: One-Shot Motion Customization of Diffusion Models


MotionCtrl: A Unified and Flexible Motion Controller for Video Generation


MotionDiffuse: Text-Driven Human Motion Generation with Diffusion Model


MotionDirector: Motion Customization of Text-to-Video Diffusion Models


MotionGPT: Human Motion as a Foreign Language


MotionGS : Compact Gaussian Splatting SLAM by Motion Filter


MotionGS: Exploring Explicit Motion Guidance for Deformable 3D Gaussian Splatting


MotionHint: Self-Supervised Monocular Visual Odometry with Motion Constraints


MotionLCM: Real-time Controllable Motion Generation via Latent Consistency Model


MotionLLM: Understanding Human Behaviors from Human Motions and Videos


MotionLLaMA: A Unified Framework for Motion Synthesis and Comprehension


MotionMap: Representing Multimodality in Human Pose Forecasting


MotionMix: Weakly-Supervised Diffusion for Controllable Motion Generation


MotionMixer: MLP-based 3D Human Body Pose Forecasting


MotionRNN: A Flexible Model for Video Prediction with Spacetime-Varying Motions


MotionVideoGAN: A Novel Video Generator Based on the Motion Space Learned from Image Pairs


Motives meet SymPy: studying $λ$-ring expressions in Python


Motivic geometry of two-loop Feynman integrals


Motley: Benchmarking Heterogeneity and Personalization in Federated Learning


Moto: Latent Motion Token as the Bridging Language for Learning Robot Manipulation from Videos


Motor Focus: Fast Ego-Motion Prediction for Assistive Visual Navigation


Motor Imagery Classification for Asynchronous EEG-Based Brain-Computer Interfaces