Probabilistic Modeling

Calibration Across Layers: Understanding Calibration Evolution in LLMs EMNLP 2025 Case-Based Decision-Theoretic Decoding with Quality Memories EMNLP 2025 Causal Representation Learning from General Environments under Nonparametric Mixing AISTATS 2025 Circuit-Aware d-DNNF Compilation IJCAI 2025 Clustering Zero-Shot Uncertainty Estimations to Assess LLM Response Accuracy for Yes/No Q&A ACL 2025 CMMLoc: Advancing Text-to-PointCloud Localization with Cauchy-Mixture-Model Based Framework CVPR 2025 Collaborative likelihood-ratio estimation over graphs JMLR 2025 Combining Priors with Experience: Confidence Calibration Based on Binomial Process Modeling AAAI 2025 Community-Aware Variational Autoencoder for Continuous Dynamic Networks AAAI 2025 Conditional Diffusion Models Based Conditional Independence Testing AAAI 2025 Conditional diffusions for amortized neural posterior estimation AISTATS 2025 Conditional Feature Importance with Generative Modeling Using Adversarial Random Forests AAAI 2025 Copula Based Trainable Calibration Error Estimator of Multi-Label Classification with Label Interdependencies AISTATS 2025 Credal Two-Sample Tests of Epistemic Uncertainty AISTATS 2025 Credibility-Aware Multimodal Fusion Using Probabilistic Circuits AISTATS 2025 Decoupling epistemic and aleatoric uncertainties with possibility theory AISTATS 2025 Deep-change at CoMeDi: the Cross-Entropy Loss is not All You Need COLING 2025 Deep Generative Quantile Bayes AISTATS 2025 Deep Optimal Sensor Placement for Black Box Stochastic Simulations AISTATS 2025 DeFine: Decision-Making with Analogical Reasoning over Factor Profiles ACL 2025 Determine the Number of States in Hidden Markov Models via Marginal Likelihood JMLR 2025 Differentiable Calibration of Inexact Stochastic Simulation Models via Kernel Score Minimization AISTATS 2025 Differentially Private Multivariate Medians JMLR 2025 DisCoPatch: Taming Adversarially-driven Batch Statistics for Improved Out-of-Distribution Detection ICCV 2025 Disentangling impact of capacity, objective, batchsize, estimators, and step-size on flow VI AISTATS 2025