probabilistic inference

Mutual information based Bayesian graph neural network for few-shot learning UAI 2022 Natural gradient enables fast sampling in spiking neural networks NeurIPS 2022 NSNet: A General Neural Probabilistic Framework for Satisfiability Problems NeurIPS 2022 Online Single-Microphone Source Separation using Non-Linear Autoregressive Models PGM 2022 Online Updating of Conditional Linear Gaussian Bayesian Networks PGM 2022 PRISM: Probabilistic Real-Time Inference in Spatial World Models CoRL 2022 Reconstructing Diffusion Networks from Incomplete Data IJCAI 2022 Semantic Probabilistic Layers for Neuro-Symbolic Learning NeurIPS 2022 SMT-based weighted model integration with structure awareness UAI 2022 Stochastic Multiple Target Sampling Gradient Descent NeurIPS 2022 Training and Inference on Any-Order Autoregressive Models the Right Way NeurIPS 2022 Variational message passing neural network for Maximum-A-Posteriori (MAP) inference UAI 2022 Who did it? Identifying the Most Likely Origins of Events PGM 2022 K^2-GNN: Multiple Users’ Comments Integration with Probabilistic K-Hop Knowledge Graph Neural Networks ACML 2021 Abstract Spatial-Temporal Reasoning via Probabilistic Abduction and Execution CVPR 2021 A Compositional Atlas of Tractable Circuit Operations for Probabilistic Inference NeurIPS 2021 A sampling-based circuit for optimal decision making NeurIPS 2021 Deep Bucket Elimination IJCAI 2021 Fast Algorithms for Relational Marginal Polytopes IJCAI 2021 Gaussian Process Priors for View-Aware Inference AAAI 2021 Handling Overlaps When Lifting Gaussian Bayesian Networks IJCAI 2021 Hybrid Probabilistic Inference with Logical and Algebraic Constraints: a Survey IJCAI 2021 Juice: A Julia Package for Logic and Probabilistic Circuits AAAI 2021 Learning Fast-Inference Bayesian Networks NeurIPS 2021 Lifted reasoning meets weighted model integration UAI 2021