Stochastic Processes

Convergence Analysis of Federated Learning Methods Using Backward Error Analysis AAAI 2025 Convergence of Score-Based Discrete Diffusion Models: A Discrete-Time Analysis ICLR 2025 Coordinate-based Speed of Sound Recovery for Aberration-Corrected Photoacoustic Computed Tomography ICCV 2025 CoStoDet-DDPM: Collaborative Training of Stochastic and Deterministic Models Improves Surgical Workflow Anticipation and Recognition ICCV 2025 Coupling-based Convergence Diagnostic and Stepsize Scheme for Stochastic Gradient Descent AAAI 2025 CSTree-SRI: Introspection-Driven Cognitive Semantic Tree for Multi-Turn Question Answering over Extra-Long Contexts ACL 2025 Debiasing 6-DOF IMU via Hierarchical Learning of Continuous Bias Dynamics RSS 2025 Decoupled Graph Energy-based Model for Node Out-of-Distribution Detection on Heterophilic Graphs ICLR 2025 Deep Kernel Posterior Learning under Infinite Variance Prior Weights ICLR 2025 Deep Random Features for Scalable Interpolation of Spatiotemporal Data ICLR 2025 Delay as Payoff in MAB AAAI 2025 Detecting Adversarial Data Using Perturbation Forgery CVPR 2025 DFMU: Distribution-based Framework for Modeling Aleatoric Uncertainty in Multimodal Sentiment Analysis IJCAI 2025 Diffusion-based Decoupled Deterministic and Uncertain Framework for Probabilistic Multivariate Time Series Forecasting ICLR 2025 Diffusion Generative Modeling for Spatially Resolved Gene Expression Inference from Histology Images ICLR 2025 DiffusionIMU: Diffusion-Based Inertial Navigation with Iterative Motion Refinement IJCAI 2025 Diffusion Model Guided Sampling with Pixel-Wise Aleatoric Uncertainty Estimation WACV 2025 Diffusion Transformer Captures Spatial-Temporal Dependencies: A Theory for Gaussian Process Data ICLR 2025 Discrete Copula Diffusion ICLR 2025 Does SGD really happen in tiny subspaces? ICLR 2025 Do LLMs Need Inherent Reasoning Before Reinforcement Learning? A Study in Korean Self-Correction IJCNLP 2025 Do LLMs Play Dice? Exploring Probability Distribution Sampling in Large Language Models for Behavioral Simulation COLING 2025 Dynamic Uncertainty Estimation for Offline Reinforcement Learning AAAI 2025 Dyve: Thinking Fast and Slow for Dynamic Process Verification EMNLP 2025 EBS-EKF: Accurate and High Frequency Event-based Star Tracking CVPR 2025