Stochastic Processes

From Perceptions to Decisions: Wildfire Evacuation Decision Prediction with Behavioral Theory-informed LLMs ACL 2025 From Sparse Dependence to Sparse Attention: Unveiling How Chain-of-Thought Enhances Transformer Sample Efficiency ICLR 2025 Gaussian Ensemble Belief Propagation for Efficient Inference in High-Dimensional, Black-box Systems ICLR 2025 Generalization through variance: how noise shapes inductive biases in diffusion models ICLR 2025 Generative Adversarial Networks: Dynamics JMLR 2025 Geodesic Slice Sampling on the Sphere JMLR 2025 Geometry of Neural Reinforcement Learning in Continuous State and Action Spaces ICLR 2025 GiFT: Gibbs Fine-Tuning for Code Generation ACL 2025 GLAM: Global-Local Variation Awareness in Mamba-based World Model AAAI 2025 Gradient correlation is a key ingredient to accelerate SGD with momentum ICLR 2025 Graph-accelerated Markov Chain Monte Carlo using Approximate Samples JMLR 2025 Has the Deep Neural Network learned the Stochastic Process? An Evaluation Viewpoint ICLR 2025 Hazard Function Guided Agent-Based Models: A Case Study of Return Migration from Poland to Ukraine IJCAI 2025 Heavy-Tailed Diffusion Models ICLR 2025 Heavy-Tailed Diffusion with Denoising Levy Probabilistic Models ICLR 2025 Hessian-Free Online Certified Unlearning ICLR 2025 High-Dynamic Radar Sequence Prediction for Weather Nowcasting Using Spatiotemporal Coherent Gaussian Representation ICLR 2025 Howard University - AI4PC at SemEval-2025 Task 3: Logit-based Supervised Token Classification for Multilingual Hallucination Span Identification Using XGBOD SemEval 2025 HSEvo: Elevating Automatic Heuristic Design with Diversity-Driven Harmony Search and Genetic Algorithm Using LLMs AAAI 2025 ICL-Bandit: Relevance Labeling in Advertisement Recommendation Systems via LLM EMNLP 2025 Identifiable Exchangeable Mechanisms for Causal Structure and Representation Learning ICLR 2025 Identification of Intermittent Temporal Latent Process ICLR 2025 Identifying Predictions That Influence the Future: Detecting Performative Concept Drift in Data Streams AAAI 2025 Improved Sampling Algorithms for Lévy-Itô Diffusion Models ICLR 2025 Improving Contextual Faithfulness of Large Language Models via Retrieval Heads-Induced Optimization ACL 2025