Probabilistic Modeling

Poisson–Gamma Modeling of Inter-Relational Dependencies in Dynamic Knowledge Graphs UAI 2026 Potential Outcome Rankings for Counterfactual Decision Making AAAI 2026 PPM-CLIP: Probabilistic Prompt Modeling for Generalizable AI-Generated Image Detection CVPR 2026 PrAda-GAN: A Private Adaptive Generative Adversarial Network with Bayes Network Structure AAAI 2026 Prediction of Hospital Associated Infections During Continuous Hospital Stays AAAI 2026 PRISM: Probabilistic Reward Model with Inherent Structural Modeling ACL 2026 Probabilistic Discrepancy Learning for Roadside LiDAR Scene Completion CVPR 2026 Probabilistic Prompt Adaptation for Unified Image Aesthetics and Quality Assessment CVPR 2026 ProbLog4Fairness: A Neurosymbolic Approach to Modeling and Mitigating Bias AAAI 2026 ProM3E: Probabilistic Masked MultiModal Embedding Model for Ecology CVPR 2026 PSPO: Prompt-Level Prioritization and Experience-Weighted Smoothing for Efficient Policy Optimization AAAI 2026 Quantification of Credal Uncertainty: A Distance-Based Approach UAI 2026 RaUF: Learning the Spatial Uncertainty Field of Radar CVPR 2026 Sabancigroup4 at SemEval-2026 Task 5: Uncertainty-Aware Semantic Plausibility Scoring via GNLL Regression and LLM Rationales SemEval 2026 Safe Multi-Agent Reinforcement Learning via Distributional Safety Critic and Maximum Entropy Optimization AAAI 2026 Sampling-Free Uncertainty Quantification via Hidden State Dynamics in Language Models AAAI 2026 SculptDrug: A Spatial Condition-Aware Bayesian Flow Model for Structure-based Drug Design AAAI 2026 Set-based v.s. Distribution-based Representations of Epistemic Uncertainty: A Comparative Study UAI 2026 SGPMIL: Sparse Gaussian Process Multiple Instance Learning WACV 2026 Spectral Conformal Risk Control: Distribution-Free Tail Guarantees via Bayesian Quadrature CVPR 2026 Streaming Generated Gaussian Process Experts for Online Learning and Control AAAI 2026 Structured Credal Learning UAI 2026 Symmetric Aggregation of Conformity Scores for Efficient Uncertainty Sets AAAI 2026 TAIGR: Towards Modeling Influencer Content on Social Media via Structured, Pragmatic Inference ACL 2026 Temporal Properties of Conditional Independence in Dynamic Bayesian Networks AAAI 2026