factor graph

Dynamic Programming in Rank Space: Scaling Structured Inference with Low-Rank HMMs and PCFGs NAACL 2022 Enhancing Self-Consistency and Performance of Pre-Trained Language Models through Natural Language Inference EMNLP 2022 Exploiting locality in high-dimensional Factorial hidden Markov models JMLR 2022 Large-Scale Differentiable Causal Discovery of Factor Graphs NeurIPS 2022 Mappings for Marginal Probabilities with Applications to Models in Statistical Physics JMLR 2022 Modeling Structure with Undirected Neural Networks ICML 2022 Semantic Dependency Parsing with Edge GNNs EMNLP 2022 Consistency-Aware Graph Network for Human Interaction Understanding ICCV 2021 Neural Enhanced Belief Propagation on Factor Graphs AISTATS 2021 Probabilistic Dependency Graphs AAAI 2021 SPECTRA: Sparse Structured Text Rationalization EMNLP 2021 Towards Sharper Generalization Bounds for Structured Prediction NeurIPS 2021 Bayesian joint state and parameter tracking in autoregressive models L4DC 2020 Belief Propagation Neural Networks NeurIPS 2020 Bundle Adjustment on a Graph Processor CVPR 2020 Decoding As Dynamic Programming For Recurrent Autoregressive Models ICLR 2020 Exploring the Role of Argument Structure in Online Debate Persuasion EMNLP 2020 Factor Graph Grammars NeurIPS 2020 Factor Graph Neural Networks NeurIPS 2020 Fast Postprocessing for Difficult Discrete Energy Minimization Problems WACV 2020 LP-SparseMAP: Differentiable Relaxed Optimization for Sparse Structured Prediction ICML 2020 Marginal Densities, Factor Graph Duality, and High-Temperature Series Expansions AISTATS 2020 Minimax Bounds for Structured Prediction Based on Factor Graphs AISTATS 2020 Multimodal Graph Networks for Compositional Generalization in Visual Question Answering NeurIPS 2020 Scaling up Hybrid Probabilistic Inference with Logical and Arithmetic Constraints via Message Passing ICML 2020