stochastic process

A Phase Transition for Opinion Dynamics with Competing Biases AAAI 2026 A Unified Approach to Analysis and Design of Denoising Markov Models JMLR 2026 DeepRWCap: Neural-Guided Random-Walk Capacitance Solver for IC Design AAAI 2026 Drift Estimation for Diffusion Processes Using Neural Networks Based on Discretely Observed Independent Paths AAAI 2026 Exploring Novel Uncertainty Quantification through Forward Intensity Function Modeling JMLR 2026 Martingale Foresight Sampling: A Principled Approach to Inference-Time LLM Decoding EACL 2026 Variance Reduction via Resampling and Experience Replay AAAI 2026 AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time EMNLP 2025 A Primal-dual Perspective for Distributed TD-learning IJCAI 2025 A Unified Theory of Quantum Neural Network Loss Landscapes ICLR 2025 Auto Encoding Neural Process for Multi-interest Recommendation AAAI 2025 Backward Filtering Forward Guiding JMLR 2025 Brain Bandit: A Biologically Grounded Neural Network for Efficient Control of Exploration ICLR 2025 Convergence and Divergence of Language Models under Different Random Seeds EMNLP 2025 Efficient Training of Neural Stochastic Differential Equations by Matching Finite Dimensional Distributions ICLR 2025 Enough Coin Flips Can Make LLMs Act Bayesian ACL 2025 Generalization Analysis for Deep Contrastive Representation Learning AAAI 2025 Has the Deep Neural Network learned the Stochastic Process? An Evaluation Viewpoint ICLR 2025 HSRDiff: A Hierarchical Self-Regulation Diffusion Model for Stochastic Semantic Segmentation AAAI 2025 Learning Neural Jump Stochastic Differential Equations with Latent Graph for Multivariate Temporal Point Processes IJCAI 2025 Lines of Thought in Large Language Models ICLR 2025 Neural Continuous-Time Supermartingale Certificates AAAI 2025 Neural Operators Can Play Dynamic Stackelberg Games JMLR 2025 Resistance is Futile: Gradually Declining Immunity Retains the Exponential Duration of Immunity-Free Diffusion IJCAI 2025 Signature Kernel Conditional Independence Tests in Causal Discovery for Stochastic Processes ICLR 2025