Probabilistic Modeling

Relational Neurosymbolic Markov Models AAAI 2025 Residual Reweighted Conformal Prediction for Graph Neural Networks UAI 2025 Resource-Rational Noisy-Channel Language Processing: Testing the Effect of Algorithmic Constraints on Inferences EMNLP 2025 Restructuring Tractable Probabilistic Circuits AISTATS 2025 Robust Score Matching AISTATS 2025 Score-Based Training for Energy-Based TTS Models Interspeech 2025 Sequential Controlled Langevin Diffusions ICLR 2025 Sequential keypoint density estimator: an overlooked baseline of skeleton-based video anomaly detection ICCV 2025 SINE: Scalable MPE Inference for Probabilistic Graphical Models using Advanced Neural Embeddings AISTATS 2025 Statistical inference on black-box generative models in the data kernel perspective space ACL 2025 Structural Entropy Guided Probabilistic Coding AAAI 2025 Supervised Score-Based Modeling by Gradient Boosting AAAI 2025 Synthetic Potential Outcomes and Causal Mixture Identifiability AISTATS 2025 Towards a Bayesian hierarchical model of lexical processing NAACL 2025 Toward Universal Laws of Outlier Propagation UAI 2025 TRADE: Transfer of Distributions between External Conditions with Normalizing Flows AISTATS 2025 Truncated Inverse-Lévy Measure Representation of the Beta Process AISTATS 2025 Trusted Unified Feature-Neighborhood Dynamics for Multi-View Classification AAAI 2025 TVineSynth: A Truncated C-Vine Copula Generator of Synthetic Tabular Data to Balance Privacy and Utility AISTATS 2025 Uncertainty Quantification for Clinical Outcome Predictions with (Large) Language Models NAACL 2025 Unconditionally Calibrated Priors for Beta Mixture Density Networks AISTATS 2025 UNHaP: Unmixing Noise from Hawkes Processes AISTATS 2025 Weighted Sum of Gaussian Process Latent Variable Models AISTATS 2025 When the Universe is Too Big: Bounding Consideration Probabilities for Plackett-Luce Rankings AISTATS 2025 Your copula is a classifier in disguise: classification-based copula density estimation AISTATS 2025