Stochastic Processes

ProAR: Probabilistic Autoregressive Modeling for Molecular Dynamics AAAI 2026 Probability Distribution Alignment and Low-Rank Weight Decomposition for Source-Free Domain Adaptive Brain Decoding AAAI 2026 QuanTaxo: A Quantum Approach to Self-Supervised Taxonomy Expansion AAAI 2026 Relative Advantage Debiasing for Watch-Time Prediction in Short-Video Recommendation AAAI 2026 Runtime Safety and Reach-avoid Prediction of Stochastic Systems via Observation-aware Barrier Functions AAAI 2026 Scalpel: Fine-Grained Alignment of Attention Activation Manifolds via Mixture Gaussian Bridges to Mitigate Multimodal Hallucination WACV 2026 Semantic Volume: Quantifying and Detecting Both External and Internal Uncertainty in LLMs AAAI 2026 Sharp analysis of linear ensemble sampling COLT 2026 Simulation-Driven Railway Delay Prediction: An Imitation Learning Approach AAAI 2026 Spatio-Temporal Context Learning with Temporal Difference Convolution for Moving Infrared Small Target Detection AAAI 2026 Statistical Foundations of DIME: Risk Estimation for Practical Index Selection EACL 2026 Stochastic Decentralized Optimization of Non-Smooth Convex and Convex-Concave Problems over Time-Varying Networks AAAI 2026 Streaming Generated Gaussian Process Experts for Online Learning and Control AAAI 2026 Structure-based RNA Design by Step-wise Optimization of Latent Diffusion Model AAAI 2026 SyncBrain: Exploring Brain Functional Dynamics Through Neural Oscillatory Synchronization AAAI 2026 SynWeather: Weather Observation Data Synthesis Across Multiple Regions and Variables via a General Diffusion Transformer AAAI 2026 The Fixed-Point of Distrust: A Formal Theory of Perceived Systemic Incompetence AAAI 2026 Toward Better EHR Reasoning in LLMs: Reinforcement Learning with Expert Attention Guidance AAAI 2026 TRACE: A Generalizable Drift Detector for Streaming Data-Driven Optimization AAAI 2026 Tree-Based Stochastic Optimization for Solving Large-Scale Urban Network Security Games AAAI 2026 TrustEnergy: A Unified Framework for Accurate and Reliable User-level Energy Usage Prediction AAAI 2026 Variance Reduction via Resampling and Experience Replay AAAI 2026 WaveDiST: A Wavelet Diffusion Transformer for Spatio-Temporal Estimation on Unobserved Locations AAAI 2026 WeightFlow: Learning Stochastic Dynamics via Evolving Weight of Neural Network AAAI 2026 Adapting to Non-Stationary Environments: Multi-Armed Bandit Enhanced Retrieval-Augmented Generation on Knowledge Graphs AAAI 2025