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Probabilistic Modeling

363 directly classified papers

Papers per year

Papers

Dynamic Conditional Optimal Transport through Simulation-Free Flows NIPS 2024
Diversified and Personalized Multi-rater Medical Image Segmentation CVPR 2024
Combining Statistical Depth and Fermat Distance for Uncertainty Quantification NIPS 2024
Big Learning Expectation Maximization AAAI 2024
Learning to Solve the Constrained Most Probable Explanation Task in Probabilistic Graphical Models AISTATS 2024
Regularization for Shuffled Data Problems via Exponential Family Priors on the Permutation Group AISTATS 2023
Sparsity-Inducing Categorical Prior Improves Robustness of the Information Bottleneck AISTATS 2023
TopicFM: Robust and Interpretable Topic-Assisted Feature Matching AAAI 2023
Likelihood Adjusted Semidefinite Programs for Clustering Heterogeneous Data ICML 2023
Delving Into Discrete Normalizing Flows on SO(3) Manifold for Probabilistic Rotation Modeling CVPR 2023
Trusted Fine-Grained Image Classification through Hierarchical Evidence Fusion AAAI 2023
Sparse Markov Models for High-dimensional Inference JMLR 2023
Effective Neural Topic Modeling with Embedding Clustering Regularization ICML 2023
Efficient Latent Variable Modeling for Knowledge-Grounded Dialogue Generation EMNLP 2023
Probabilistic Tree-of-thought Reasoning for Answering Knowledge-intensive Complex Questions EMNLP 2023
GFlowNet-EM for Learning Compositional Latent Variable Models ICML 2023
Compositional Score Modeling for Simulation-Based Inference ICML 2023
Log-FGAER: Logic-Guided Fine-Grained Address Entity Recognition from Multi-Turn Spoken Dialogue EMNLP 2023
Compressing Tabular Data via Latent Variable Estimation ICML 2023
Conceptualizing Treatment Leakage in Text-based Causal Inference NAACL 2022
Dynamic Programming in Rank Space: Scaling Structured Inference with Low-Rank HMMs and PCFGs NAACL 2022
Joint Extraction of Entities, Relations, and Events via Modeling Inter-Instance and Inter-Label Dependencies NAACL 2022
On Learning Mixture Models with Sparse Parameters AISTATS 2022
A Probabilistic Framework for Land Deformation Prediction (Student Abstract) AAAI 2022
PLAD: Learning To Infer Shape Programs With Pseudo-Labels and Approximate Distributions CVPR 2022