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Probabilistic Modeling

2591 directly classified papers

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Papers

A Phase Transition for Opinion Dynamics with Competing Biases AAAI 2026
Think How Your Teammates Think: Active Inference Can Benefit Decentralized Execution AAAI 2026
SculptDrug: A Spatial Condition-Aware Bayesian Flow Model for Structure-based Drug Design AAAI 2026
Physics-Informed Multi-Task Learning for Battery State of Health Prediction with Uncertainty Quantification AAAI 2026
MUSE: Multimodal Uncertainty-Based Self-Driven Evolution for Robust Physiological-Signal–Based Driver Fatigue Detection AAAI 2026
Temporal Properties of Conditional Independence in Dynamic Bayesian Networks AAAI 2026
ForeSWE: Forecasting Snow-Water Equivalent with an Uncertainty-Aware Attention Model AAAI 2026
Instance Dependent Testing of Samplers Using Interval Conditioning AAAI 2026
Evidential Knowledge Distillation ICCV 2025
ProHOC: Probabilistic Hierarchical Out-of-Distribution Classification via Multi-Depth Networks CVPR 2025
Flow Stochastic Segmentation Networks ICCV 2025
Black Swan: Abductive and Defeasible Video Reasoning in Unpredictable Events CVPR 2025
Uncertain (Mis)Takes at LeWiDi-2025: Modeling Human Label Variation With Semantic Entropy EMNLP 2025
Fuzzy Reasoning Chain (FRC): An Innovative Reasoning Framework from Fuzziness to Clarity EMNLP 2025
Resource-Rational Noisy-Channel Language Processing: Testing the Effect of Algorithmic Constraints on Inferences EMNLP 2025
Are Generative Models Underconfident? Better Quality Estimation with Boosted Model Probability EMNLP 2025
A Conditional Probability Framework for Compositional Zero-shot Learning ICCV 2025
FactReasoner: A Probabilistic Approach to Long-Form Factuality Assessment for Large Language Models EMNLP 2025
ECC: Synergizing Emotion, Cause and Commonsense for Empathetic Dialogue Generation COLING 2025
EvOcc: Accurate Semantic Occupancy for Automated Driving Using Evidence Theory CVPR 2025
Towards Understanding and Quantifying Uncertainty for Text-to-Image Generation CVPR 2025
Utilizing Uncertainty in 2D Pose Detectors for Probabilistic 3D Human Mesh Recovery WACV 2025
Scalability of Bayesian Network Structure Elicitation with Large Language Models: a Novel Methodology and Comparative Analysis COLING 2025
UMUTeam at SemEval-2025 Task 3: Detecting Hallucinations in Multilingual Texts Using Encoder-only Models Guided by Large Language Models ACL 2025
PM3-KIE: A Probabilistic Multi-Task Meta-Model for Document Key Information Extraction ACL 2025