probabilistic inference

Discrete Langevin Samplers via Wasserstein Gradient Flow AISTATS 2023 Establishing Markov equivalence in cyclic directed graphs UAI 2023 Lifted Inference with Linear Order Axiom AAAI 2023 Local Message Passing on Frustrated Systems UAI 2023 Model-based Validation as Probabilistic Inference L4DC 2023 NeoMaPy: A Framework for Computing MAP Inference on Temporal Knowledge Graphs IJCAI 2023 Not all Strongly Rayleigh Distributions Have Small Probabilistic Generating Circuits ICML 2023 Perception for General-purpose Robot Manipulation AAAI 2023 Probabilistic Inference in Reinforcement Learning Done Right NeurIPS 2023 Probabilistic Programs as an Action Description Language AAAI 2023 Scaling integer arithmetic in probabilistic programs UAI 2023 Self-supervised Neural Factor Analysis for Disentangling Utterance-level Speech Representations ICML 2023 Semantic Strengthening of Neuro-Symbolic Learning AISTATS 2023 Sparse Graph Learning from Spatiotemporal Time Series JMLR 2023 SynJax: Structured Probability Distributions for JAX EMNLP 2023 ThinkSum: Probabilistic reasoning over sets using large language models ACL 2023 TopicFM: Robust and Interpretable Topic-Assisted Feature Matching AAAI 2023 Adaptation Accelerating Sampling-based Bayesian Inference in Attractor Neural Networks NeurIPS 2022 Approximate Inference for Stochastic Planning in Factored Spaces PGM 2022 A Reparameterization of Mixtures of Truncated Basis Functions and its Applications PGM 2022 Constrained Variational Policy Optimization for Safe Reinforcement Learning ICML 2022 Exchangeability-Aware Sum-Product Networks IJCAI 2022 Fast Fourier Transform Reductions for Bayesian Network Inference AISTATS 2022 Highly Efficient Structural Learning of Sparse Staged Trees PGM 2022 Lifted Division for Lifted Hugin Belief Propagation AISTATS 2022