Victor Garcia Satorras

5 papers · 2018–2021 · 3 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🗺️ Taxonomy Completionist (11) 🐣 Hot Topic Early Bird 🚀 Conference Pioneer

Venues

NeurIPS (3) AISTATS (1) ICLR (1)

Top co-authors

Max Welling (4) Emiel Hoogeboom (2) Ingmar Posner (1) Joan Bruna Estrach (1) Jakub Tomczak (1) Zeynep Akata (1) Fabian Fuchs (1)

Research topics

Deep Learning (4) Machine Learning (4) Architectures (4) Core Methods (3) Learning Types · Machine Learning (3) Artificial Intelligence (2) Core AI (2) Models (2) Bayesian & Probabilistic (1) Learning Types · Deep Learning (1)

Keywords

graph neural network (4) message passing (2) normalizing flow (2) variational inference (1) belief propagation (1) kalman filter (1) generative model (1) graphical model (1) molecular generation (1) graph convolution (1) equivariant neural network (1) generative flow (1) factor graph (1) error correction (1) hybrid model (1) particle system (1) 3d structure (1) neural network (1) convolution exponential (1) sylvester flow (1)

Papers

E(n) Equivariant Normalizing Flows NeurIPS 2021 Neural Enhanced Belief Propagation on Factor Graphs AISTATS 2021 The Convolution Exponential and Generalized Sylvester Flows NeurIPS 2020 Combining Generative and Discriminative Models for Hybrid Inference NeurIPS 2019 Few-Shot Learning with Graph Neural Networks ICLR 2018