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Probabilistic Modeling

2591 directly classified papers

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Papers

Quantifying Uncertainty in Natural Language Explanations of Large Language Models for Question Answering EMNLP 2025
Uncertainty-guided Graph Contrastive Learning from a Unified Perspective IJCAI 2025
Statistical Methodologies for Decision-Making and Uncertainty Reduction in Machine Learning AAAI 2025
A Computationally Grounded Framework for Cognitive Attitudes AAAI 2025
Probabilistic Strategy Logic with Degrees of Observability AAAI 2025
Dual Energy-Based Model with Open-World Uncertainty Estimation for Out-of-distribution Detection CVPR 2025
Conditional Denoising Meets Polynomial Modeling: A Flexible Decoupled Framework for Time Series Forecasting IJCAI 2025
Reasoning over Uncertain Text by Generative Large Language Models AAAI 2025
CoffeeBoost: Gradient Boosting Native Conformal Inference for Bayesian Optimization AAAI 2025
LP-Based Weighted Model Integration over Non-Linear Real Arithmetic IJCAI 2025
Polynomial-Time Relational Probabilistic Inference in Open Universes IJCAI 2025
Probabilistic Multimodal Learning with von Mises-Fisher Distributions IJCAI 2025
Most Probable Explanation in Probabilistic Answer Set Programming IJCAI 2025
Approximate Lifted Model Construction IJCAI 2025
Sustainable Wearables for Health Applications and Beyond via Uncertainty-Aware Energy Management IJCAI 2025
Oddballness: universal anomaly detection with language models COLING 2025
Conformalized Answer Set Prediction for Knowledge Graph Embedding NAACL 2025
Fairness-Aware Estimation of Graphical Models NIPS 2024
A scalable generative model for dynamical system reconstruction from neuroimaging data NIPS 2024
Entropy testing and its application to testing Bayesian networks NIPS 2024
Functional Gradient Flows for Constrained Sampling NIPS 2024
Energy-Guided Continuous Entropic Barycenter Estimation for General Costs NIPS 2024
LLM Processes: Numerical Predictive Distributions Conditioned on Natural Language NIPS 2024
Consistency Models for Scalable and Fast Simulation-Based Inference NIPS 2024
Physics-Informed Variational State-Space Gaussian Processes NIPS 2024