conftrace_

markov random field

303 papers

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Also known as

MRF

Co-occurring keywords

graphical model (864) map inference (130) variational inference (2069) belief propagation (177) combinatorial optimization (1039) energy minimization (121) probabilistic modeling (852) bayesian inference (1907) message passing (579) graph cut (89)

Papers

A Probabilistic Graph Coupling View of Dimension Reduction NIPS 2022
Infinite SCAN: An Infinite Model of Diachronic Semantic Change EMNLP 2022
Covered Information Disentanglement: Model Transparency via Unbiased Permutation Importance AAAI 2022
Statistical Estimation from Dependent Data ICML 2021
Perturb-and-max-product: Sampling and learning in discrete energy-based models NIPS 2021
On Learning Continuous Pairwise Markov Random Fields AISTATS 2021
Graphical Models in Heavy-Tailed Markets NIPS 2021
Fusion Moves for Graph Matching ICCV 2021
GANs with Conditional Independence Graphs: On Subadditivity of Probability Divergences AISTATS 2021
An MRF-UNet Product of Experts for Image Segmentation MIDL 2021
Semi-Supervised Node Classification on Graphs: Markov Random Fields vs. Graph Neural Networks AAAI 2021
Query Training: Learning a Worse Model to Infer Better Marginals in Undirected Graphical Models with Hidden Variables AAAI 2021
Explicit pairwise factorized graph neural network for semi-supervised node classification UAI 2021
Graph Cuts Always Find a Global Optimum for Potts Models (With a Catch) ICML 2021
MRF-Chat: Improving Dialogue with Markov Random Fields EMNLP 2021
Correlated Equilibria for Approximate Variational Inference in MRFs PGM 2020
Rethinking Learnable Tree Filter for Generic Feature Transform NIPS 2020
UnModNet: Learning to Unwrap a Modulo Image for High Dynamic Range Imaging NIPS 2020
Graph Convolutional Networks with Markov Random Field Reasoning for Social Spammer Detection AAAI 2020
MRFMap: Online Probabilistic 3D Mapping using Forward Ray Sensor Models RSS 2020
Nonparametric graphical model for counts JMLR 2020
Learning Restricted Boltzmann Machines with Sparse Latent Variables NIPS 2020
Algorithms for Estimating the Partition Function of Restricted Boltzmann Machines (Extended Abstract) IJCAI 2020
PGM_PyLib: A Toolkit for Probabilistic Graphical Models in Python PGM 2020
Efficient semidefinite-programming-based inference for binary and multi-class MRFs NIPS 2020