probabilistic modeling

Benchmarking Reinforcement Learning Algorithms for ICU Ventilator Settings: An Interpretable and Probabilistic Patient Environment for Doctor Agents AAAI 2026 CPT-Agent: A Cognitive Process Theory-driven Framework for Student Simulation in Writing Development ACL 2026 CSP4SDG: Constraint and Information-Theory Based Role Identification in Social Deduction Games with LLM-Enhanced Inference AAAI 2026 Exact Shapley Attributions in Quadratic-time for FANOVA Gaussian Processes AAAI 2026 How Should We Model the Probability of a Language? EACL 2026 Impute Missing Entries with Uncertainty AAAI 2026 MMCM: Multimodality-aware Metric using Clustering-based Modes for Probabilistic Human Motion Prediction WACV 2026 Multi-view Learning via Trusted Pairwise Entity Energy AAAI 2026 OptScale: Probabilistic Optimality for Inference-time Scaling AAAI 2026 Photo Dating by Facial Age Aggregation WACV 2026 Physical Object Understanding with a Physically Controllable World Model CVPR 2026 Potential Outcome Rankings for Counterfactual Decision Making AAAI 2026 Prediction of Hospital Associated Infections During Continuous Hospital Stays AAAI 2026 PVeRA: Probabilistic Vector-Based Random Matrix Adaptation WACV 2026 Sampling-Free Uncertainty Quantification via Hidden State Dynamics in Language Models AAAI 2026 SGPMIL: Sparse Gaussian Process Multiple Instance Learning WACV 2026 SynWeather: Weather Observation Data Synthesis Across Multiple Regions and Variables via a General Diffusion Transformer AAAI 2026 Temporal Properties of Conditional Independence in Dynamic Bayesian Networks AAAI 2026 The Confidence Trap: Gender Bias and Predictive Certainty in LLMs AAAI 2026 Uncertainty Quantification for Evaluating Gender Bias in Machine Translation EACL 2026 A Bayesian Model Selection Criterion for Selecting Pretraining Checkpoints ICML 2025 AcrosticSleuth: Probabilistic Identification and Ranking of Acrostics in Multilingual Corpora NAACL 2025 A Deep Probabilistic Framework for Continuous Time Dynamic Graph Generation AAAI 2025 A Probabilistic Framework for LLM Hallucination Detection via Belief Tree Propagation NAACL 2025 A Probabilistic Inference Scaling Theory for LLM Self-Correction EMNLP 2025