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Probabilistic Modeling

2591 directly classified papers

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Papers

LP-Based Weighted Model Integration over Non-Linear Real Arithmetic IJCAI 2025
Utilizing Uncertainty in 2D Pose Detectors for Probabilistic 3D Human Mesh Recovery WACV 2025
ProbMED: A Probabilistic Framework for Medical Multimodal Binding ICCV 2025
Analyzing Uncertainty of LLM-as-a-Judge: Interval Evaluations with Conformal Prediction EMNLP 2025
Learnability of Parameter-Bounded Bayes Nets AAAI 2025
Flow Stochastic Segmentation Networks ICCV 2025
DeFine: Decision-Making with Analogical Reasoning over Factor Profiles ACL 2025
FactReasoner: A Probabilistic Approach to Long-Form Factuality Assessment for Large Language Models EMNLP 2025
MiCRo: Mixture Modeling and Context-aware Routing for Personalized Preference Learning EMNLP 2025
Bayesian Multi-Group Gaussian Process Models for Heterogeneous Group-Structured Data JMLR 2025
Statistical Methodologies for Decision-Making and Uncertainty Reduction in Machine Learning AAAI 2025
AFFAKT: A Hierarchical Optimal Transport Based Method for Affective Facial Knowledge Transfer in Video Deception Detection AAAI 2025
Conditional Denoising Meets Polynomial Modeling: A Flexible Decoupled Framework for Time Series Forecasting IJCAI 2025
A Deep Probabilistic Framework for Continuous Time Dynamic Graph Generation AAAI 2025
CUQDS: Conformal Uncertainty Quantification Under Distribution Shift for Trajectory Prediction AAAI 2025
Mixtures of Gaussian Process Experts with SMC^2 JMLR 2025
The GeometricKernels Package: Heat and Matérn Kernels for Geometric Learning on Manifolds, Meshes, and Graphs JMLR 2025
Zeroth-Order Sampling Methods for Non-Log-Concave Distributions: Alleviating Metastability by Denoising Diffusion NIPS 2024
On the Expressive Power of Tree-Structured Probabilistic Circuits NIPS 2024
Abductive Reasoning in Logical Credal Networks NIPS 2024
Methods for recovering conditional independence graphs (Abstract Reprint) IJCAI 2024
Negative-Binomial Randomized Gamma Dynamical Systems for Heterogeneous Overdispersed Count Time Sequences IJCAI 2024
Multivariate Probabilistic Time Series Forecasting with Correlated Errors NIPS 2024
One Step Closer to Unbiased Aleatoric Uncertainty Estimation AAAI 2024
Robust Gaussian Processes via Relevance Pursuit NIPS 2024