conftrace_
← Bayesian & Probabilistic
Machine Learning › Bayesian & Probabilistic ›

Probabilistic Modeling

2,252 papers

Papers per year

5
84
58
212
96
'05
'10
'15
'20
'25

Papers

G2SF: Geometry-Guided Score Fusion for Multimodal Industrial Anomaly Detection ICCV 2025
Reducing Unimodal Bias in Multi-Modal Semantic Segmentation with Multi-Scale Functional Entropy Regularization ICCV 2025
ProbRes: Probabilistic Jump Diffusion for Open-World Egocentric Activity Recognition ICCV 2025
DisCoPatch: Taming Adversarially-driven Batch Statistics for Improved Out-of-Distribution Detection ICCV 2025
A Conditional Probability Framework for Compositional Zero-shot Learning ICCV 2025
ProbMED: A Probabilistic Framework for Medical Multimodal Binding ICCV 2025
Adaptive Deep Learning from Crowds IJCAI 2025
Circuit-Aware d-DNNF Compilation IJCAI 2025
Bayesian Sparse Gaussian Mixture Model for Clustering in High Dimensions JMLR 2025
Extremal graphical modeling with latent variables via convex optimization JMLR 2025
Determine the Number of States in Hidden Markov Models via Marginal Likelihood JMLR 2025
Fine-Grained Change Point Detection for Topic Modeling with Pitman-Yor Process JMLR 2025
Modelling Populations of Interaction Networks via Distance Metrics JMLR 2025
Nonparametric Regression on Random Geometric Graphs Sampled from Submanifolds JMLR 2025
Exponential Family Graphical Models: Correlated Replicates and Unmeasured Confounders, with Applications to fMRI Data JMLR 2025
Mixtures of Gaussian Process Experts with SMC^2 JMLR 2025
Biological Sequence Kernels with Guaranteed Flexibility JMLR 2025
Differentially Private Multivariate Medians JMLR 2025
Collaborative likelihood-ratio estimation over graphs JMLR 2025
Backward Filtering Forward Guiding JMLR 2025
Bayesian Score Calibration for Approximate Models JMLR 2025
AcrosticSleuth: Probabilistic Identification and Ranking of Acrostics in Multilingual Corpora NAACL 2025
Uncertainty Quantification for Clinical Outcome Predictions with (Large) Language Models NAACL 2025
Optimizing Hidden Markov Language Models: An Empirical Study of Reparameterization and Initialization Techniques NAACL 2025
Accounting for Sycophancy in Language Model Uncertainty Estimation NAACL 2025