Stochastic Processes

FreqCycle: A Multi-Scale Time-Frequency Analysis Method for Time Series Forecasting AAAI 2026 Frequency-Dependent Scheduled Schrödinger Bridge for Underwater Acoustic Signal Denoising AAAI 2026 Gaussian Approximation for Two-Timescale Linear Stochastic Approximation AAAI 2026 Gaussian Uncertainty-Driven Multi-Model Fitting with Graph Neural Network AAAI 2026 GUI-G²: Gaussian Reward Modeling for GUI Grounding AAAI 2026 High-Order Error Bounds for Markovian LSA with Richardson–Romberg Extrapolation AAAI 2026 Joint Modeling of Corruption-Driven and Information-Limited Uncertainty for Robust 3D Gaussian Splatting WACV 2026 Learning in Zero-Sum Markov Games: Relaxing Strong Reachability and Mixing Time Assumptions AAAI 2026 Learning to Optimize Job Shop Scheduling Under Structural Uncertainty AAAI 2026 MAJIC: Markovian Adaptive Jailbreaking via Iterative Composition of Diverse Innovative Strategies AAAI 2026 Martingale Foresight Sampling: A Principled Approach to Inference-Time LLM Decoding EACL 2026 Matrix-Free Two-to-Infinity and One-to-Two Norms Estimation AAAI 2026 Methods for Optimization Problems with Markovian Stochasticity and Non-Euclidean Geometry AAAI 2026 METP: Multi-Granularity Integration of External Covariates for Temporal Point Processes AAAI 2026 Modeling and Learning Multiple Hypotheses for Monocular 3D Object Detection WACV 2026 Modeling Trend Dynamics with Variational Neural ODEs for Information Popularity Prediction AAAI 2026 MSTDiff: Multiscale-Aware Transformer Diffusion Network for Video Object Detection AAAI 2026 On the Robustness of Bandit Multiple Testing AAAI 2026 Optimism Stabilizes Thompson Sampling for Adaptive Inference COLT 2026 P2S: Probabilistic Process Supervision for General-Domain Reasoning Question Answering AAAI 2026 Parameter-free Optimal Rates for Nonlinear Semi-Norm Contractions with Applications to Q-Learning AAAI 2026 PASS: Probabilistic Agentic Supernet Sampling for Interpretable and Adaptive Chest X-Ray Reasoning AAAI 2026 Physics-Informed Koopman Neural Estimation of the Heston Model from High-Frequency Observations AAAI 2026 Pre-Trained Video Generative Models as World Simulators AAAI 2026 PRIMP: PRobabilistically-Informed Motion Primitives for Efficient Affordance Learning from Demonstration (Abstract Reprint) AAAI 2026