probabilistic inference

310 papers

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Co-occurring keywords

graphical model (863) bayesian inference (1904) variational inference (2069) belief propagation (177) bayesian network (378) probabilistic modeling (851) approximate inference (253) markov chain monte carlo (724) lifted inference (46) message passing (578)

Papers

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

Uncovering Hidden Degeneration: A Physics-Guided Bidirectional Inference Framework for Industrial Time Series Prediction AAAI 2026

New Compilation Languages Based on Restricted Weak Decomposability AAAI 2025

Learning to Sample Effective and Diverse Prompts for Text-to-Image Generation CVPR 2025

Resource-Rational Noisy-Channel Language Processing: Testing the Effect of Algorithmic Constraints on Inferences EMNLP 2025

Evaluating Uncertainty Quantification Methods in Argumentative Large Language Models EMNLP 2025

ProbPose: A Probabilistic Approach to 2D Human Pose Estimation CVPR 2025

LP-Based Weighted Model Integration over Non-Linear Real Arithmetic IJCAI 2025

Scalable and Efficient Probabilistic Inference for Bayesian Deep Learning and Generative Modeling AAAI 2025

Function-centric Bayesian Network for Zero-Shot Object Goal Navigation ICCV 2025

A Probabilistic Inference Scaling Theory for LLM Self-Correction EMNLP 2025

Drift: Enhancing LLM Faithfulness in Rationale Generation via Dual-Reward Probabilistic Inference ACL 2025

Circuit-Aware d-DNNF Compilation IJCAI 2025

QUITE: Quantifying Uncertainty in Natural Language Text in Bayesian Reasoning Scenarios EMNLP 2024

An Approximate Skolem Function Counter AAAI 2024

Stein Variational Ergodic Search RSS 2024

Uncertainty-aware Action Decoupling Transformer for Action Anticipation CVPR 2024

On the Expressive Power of Tree-Structured Probabilistic Circuits NIPS 2024

Inference via Interpolation: Contrastive Representations Provably Enable Planning and Inference NIPS 2024

Theory-guided Message Passing Neural Network for Probabilistic Inference AISTATS 2024

A Neural Network Approach for Efficiently Answering Most Probable Explanation Queries in Probabilistic Models NIPS 2024

Adaptive Meta-Learning Probabilistic Inference Framework for Long Sequence Prediction AAAI 2024

Surrogate Bayesian Networks for Approximating Evolutionary Games AISTATS 2024

DGPO: Discovering Multiple Strategies with Diversity-Guided Policy Optimization AAAI 2024

Deep Dependency Networks and Advanced Inference Schemes for Multi-Label Classification AISTATS 2024