Showing 1–20 of 61 results
/ Date/ Name
Feb 7, 2020Universal Equivariant Multilayer PerceptronsSep 28, 2015Boolean Matrix Factorization and Noisy Completion via Message PassingNov 6, 2017Estimating Cosmological Parameters from the Dark Matter DistributionJun 5, 2020Equivariant Maps for Hierarchical StructuresJan 26, 2014Perturbed Message Passing for Constraint Satisfaction ProblemsJan 1, 2016Stochastic Neural Networks with Monotonic Activation FunctionsAug 20, 2015Message Passing and Combinatorial OptimizationMay 6, 2014Training Restricted Boltzmann Machine by PerturbationNov 14, 2016Deep Learning with Sets and Point CloudsJun 18, 2012A Generalized Loop Correction Method for Approximate Inference in Graphical ModelsNov 15, 2018Learning to Predict the Cosmological Structure FormationMar 21, 2019Equivariant Entity-Relationship NetworksJun 4, 2014Augmentative Message Passing for Traveling Salesman Problem and Graph PartitioningSep 4, 2014Accurate, fully-automated NMR spectral profiling for metabolomicsSep 25, 2014Revisiting Algebra and Complexity of Inference in Graphical ModelsMar 7, 2018Deep Models of Interactions Across SetsSep 19, 2016Enabling Dark Energy Science with Deep Generative Models of Galaxy ImagesFeb 27, 2017Equivariance Through Parameter-SharingSep 6, 2023Using Multiple Vector Channels Improves E(n)-Equivariant Graph Neural NetworksNov 15, 2022Equivariant Networks for Crystal Structures