Stochastic Processes

Adaptive Gradient Learning for Spiking Neural Networks by Exploiting Membrane Potential Dynamics IJCAI 2025 Adaptive Methods through the Lens of SDEs: Theoretical Insights on the Role of Noise ICLR 2025 A Distributional Approach to Uncertainty-Aware Preference Alignment Using Offline Demonstrations ICLR 2025 A Generative Pre-Trained Language Model for Channel Prediction in Wireless Communications Systems EMNLP 2025 Air Quality Prediction with Physics-Guided Dual Neural ODEs in Open Systems ICLR 2025 Almost Sure Convergence of Dropout Algorithms for Neural Networks JMLR 2025 A Monte-Carlo Sampling Framework For Reliable Evaluation of Large Language Models Using Behavioral Analysis EMNLP 2025 Amortized Control of Continuous State Space Feynman-Kac Model for Irregular Time Series ICLR 2025 Analyzing and Modeling LLM Response Lengths with Extreme Value Theory: Anchoring Effects and Hybrid Distributions EMNLP 2025 Anytime-Valid A/B Testing of Counting Processes AISTATS 2025 Approximate State Abstraction for Markov Games AAAI 2025 A Proactive Reliability Metric for Detecting Failures in Language Model Training EMNLP 2025 A Probabilistic Toolkit for Multi-grained Word Segmentation in Chinese COLING 2025 ARIG: Autoregressive Interactive Head Generation for Real-time Conversations ICCV 2025 A Solvable Attention for Neural Scaling Laws ICLR 2025 A Stochastic Approach to Bi-Level Optimization for Hyperparameter Optimization and Meta Learning AAAI 2025 A Unified Theory of Quantum Neural Network Loss Landscapes ICLR 2025 A Wiener Process Perspective on Local Intrinsic Dimension Estimation Methods AAAI 2025 Backward Filtering Forward Guiding JMLR 2025 Balanced Neural ODEs: nonlinear model order reduction and Koopman operator approximations ICLR 2025 Batch Ensemble for Variance Dependent Regret in Stochastic Bandits AAAI 2025 BayesCNS: A Unified Bayesian Approach to Address Cold Start and Non-Stationarity in Search Systems at Scale AAAI 2025 Bayesian Optimization via Continual Variational Last Layer Training ICLR 2025 Bayesian Regularization of Latent Representation ICLR 2025 BBScoreV2: Learning Time-Evolution and Latent Alignment from Stochastic Representation EMNLP 2025