Probabilistic Modeling

Multinoulli Extension: A Lossless Yet Effective Probabilistic Framework for Subset Selection over Partition Constraints ICML 2025 Multi-Timescale Dynamics Model Bayesian Optimization for Plasma Stabilization in Tokamaks ICML 2025 Neural Representational Consistency Emerges from Probabilistic Neural-Behavioral Representation Alignment ICML 2025 Non-intrusive Speech Quality Assessment with Diffusion Models Trained on Clean Speech Interspeech 2025 Non-stationary Diffusion For Probabilistic Time Series Forecasting ICML 2025 Oddballness: universal anomaly detection with language models COLING 2025 On the Consistent Recovery of Joint Distributions from Conditionals AISTATS 2025 On the Identification of Temporal Causal Representation with Instantaneous Dependence ICLR 2025 On the Minimax Regret of Sequential Probability Assignment via Square-Root Entropy COLT 2025 On the Relationship Between Monotone and Squared Probabilistic Circuits AAAI 2025 On the Statistical Mechanisms of Distributional Compositional Generalization ICML 2025 Optimal Transport for Probabilistic Circuits UAI 2025 Ordered V-information Growth: A Fresh Perspective on Shared Information AISTATS 2025 Pareto-frontier Entropy Search with Variational Lower Bound Maximization ICML 2025 Piecewise deterministic sampling with splitting schemes JMLR 2025 PM3-KIE: A Probabilistic Multi-Task Meta-Model for Document Key Information Extraction ACL 2025 Polynomial-Time Relational Probabilistic Inference in Open Universes IJCAI 2025 Position: LLMs Need a Bayesian Meta-Reasoning Framework for More Robust and Generalizable Reasoning ICML 2025 Position: Probabilistic Modelling is Sufficient for Causal Inference ICML 2025 Position: The Future of Bayesian Prediction Is Prior-Fitted ICML 2025 Posterior Mean Matching: Generative Modeling through Online Bayesian Inference AISTATS 2025 Privacy-Preserving Neural Processes for Probabilistic User Modeling UAI 2025 Probabilistic Aggregation and Targeted Embedding Optimization for Collective Moral Reasoning in Large Language Models ACL 2025 Probabilistic Embeddings for Frozen Vision-Language Models: Uncertainty Quantification with Gaussian Process Latent Variable Models UAI 2025 Probabilistic Factorial Experimental Design for Combinatorial Interventions ICML 2025