Probabilistic Modeling

A Causal Markov Condition for Value UAI 2026 Advancing Image Classification with Discrete Diffusion Classification Modeling CVPR 2026 A Framework for Belief-based Programs and Their Verification (Abstract Reprint) AAAI 2026 A Phase Transition for Opinion Dynamics with Competing Biases AAAI 2026 A Probabilistic Circuit Framework for Interpretable Graph PU Learning UAI 2026 A Sobering Look at Tabular Data Generation via Probabilistic Circuits UAI 2026 Assumed Density Filtering and Smoothing with Neural Network Surrogate Models L4DC 2026 A Unified Approach to Analysis and Design of Denoising Markov Models JMLR 2026 A Unified View on Emotion Representation in Large Language Models EACL 2026 BATIS: Bayesian Approaches for Targeted Improvement of Species Distribution Models AAAI 2026 BayesAgent: Bayesian Agentic Reasoning Under Uncertainty via Verbalized Probabilistic Graphical Modeling AAAI 2026 Bayesian Social Deduction with Graph-Informed Language Models ACL 2026 Beware of Hinges in Proximal Variables Regression: Adjusting for Colliding-Mediators with Nuisance PV CLeaR 2026 Beyond Graph Model: Reliable VLM Fine-Tuning via Random Graph Adapter CVPR 2026 Beyond Text: Visual Description Assembly by Probabilistic Model for CLIP-based Weakly Supervised Semantic Segmentation CVPR 2026 Bidirectional Normalizing Flow: From Data to Noise and Back CVPR 2026 Clinician-in-the-Loop Smart Home System to Detect Urinary Tract Infection Flare-Ups via Uncertainty-Aware Decision Support AAAI 2026 Conditional Factuality Controlled LLMs with Generalization Certificates via Conformal Sampling CVPR 2026 Conditional Probabilistic Bipolar Argumentation Framework: Explanations, Complexity and Approximation AAAI 2026 Controllable Epistemic Sensitivity in Large Language Models: Probing, Benchmarking, and Adaptive Reasoning AAAI 2026 CSP4SDG: Constraint and Information-Theory Based Role Identification in Social Deduction Games with LLM-Enhanced Inference AAAI 2026 CUPID: Generative 3D Reconstruction via Joint Object and Pose Modeling CVPR 2026 Detecting Non-Membership in LLM Training Data via Rank Correlations EACL 2026 Differentiable Filtering for Learning Hidden Markov Models L4DC 2026 Dropouts in Confidence: Moral Uncertainty in Human-LLM Alignment AAAI 2026