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Probabilistic Modeling

2591 directly classified papers

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Papers

Multi-view Learning via Trusted Pairwise Entity Energy AAAI 2026

BayesAgent: Bayesian Agentic Reasoning Under Uncertainty via Verbalized Probabilistic Graphical Modeling AAAI 2026

METP: Multi-Granularity Integration of External Covariates for Temporal Point Processes AAAI 2026

Symmetric Aggregation of Conformity Scores for Efficient Uncertainty Sets AAAI 2026

Conditional Probabilistic Bipolar Argumentation Framework: Explanations, Complexity and Approximation AAAI 2026

Variance Computation for Weighted Model Counting with Knowledge Compilation Approach AAAI 2026

Evidence-aware Integration and Domain Identification of Spatial Transcriptomics Data AAAI 2026

GUIDER: Uncertainty Guided Dynamic Re-ranking for Large Language Models Based Recommender Systems AAAI 2026

CSP4SDG: Constraint and Information-Theory Based Role Identification in Social Deduction Games with LLM-Enhanced Inference 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

Sampling-Free Uncertainty Quantification via Hidden State Dynamics in Language Models AAAI 2026

On the Robustness of Bandit Multiple Testing AAAI 2026

Large Connectome Model: An fMRI Foundation Model of Brain Connectomes Empowered by Brain-Environment Interaction in Multitask Learning Landscape AAAI 2026

PrAda-GAN: A Private Adaptive Generative Adversarial Network with Bayes Network Structure AAAI 2026

Clinician-in-the-Loop Smart Home System to Detect Urinary Tract Infection Flare-Ups via Uncertainty-Aware Decision Support AAAI 2026

LogicCBMs: Logic-Enhanced Concept-Based Learning WACV 2026

How Good Are Inducing Points for Dataset Distillation? (Student Abstract) AAAI 2026

Safe Multi-Agent Reinforcement Learning via Distributional Safety Critic and Maximum Entropy Optimization AAAI 2026

More than Irrational: Modeling Belief-Biased Agents AAAI 2026

Function-on-Function Bayesian Optimization AAAI 2026

Streaming Generated Gaussian Process Experts for Online Learning and Control AAAI 2026

Joint Modeling of Corruption-Driven and Information-Limited Uncertainty for Robust 3D Gaussian Splatting WACV 2026

PSPO: Prompt-Level Prioritization and Experience-Weighted Smoothing for Efficient Policy Optimization AAAI 2026