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7 x 3 minutes spotlights
Elsa Cazelles · Aude Genevay · Gonzalo Mena · Christoph Brauer · Asja Fischer · Henning Petzka · Vivien Seguy · Antoine Rolet · Sho Sonoda

Sat Dec 09 04:50 PM -- 05:10 PM (PST) @
in Optimal Transport and Machine Learning »
  1. Jérémie Bigot, Elsa Cazelles and Nicolas Papadakis. Central limit theorems for Sinkhorn divergence between probability distributions on finite spaces.
  2. Aude Genevay. Learning Generative Models with Sinkhorn Divergences
  3. Gonzalo Mena, David Belanger, Gonzalo Muñoz and Jasper Snoek. Sinkhorn Networks: Using Optimal Transport Techniques to Learn Permutations
  4. Christoph Brauer, Christian Clason, Dirk Lorenz and Benedikt Wirth. A Sinkhorn-Newton method for entropic optimal transport
  5. Henning Petzka, Asja Fischer and Denis Lukovnikov. On the regularization of Wasserstein GANs
  6. Vivien Seguy, Bharath Bhushan Damodaran, Rémi Flamary, Nicolas Courty, Antoine Rolet and Mathieu Blondel. Large Scale Optimal Transport and Mapping Estimation
  7. Sho Sonoda and Noboru Murata. Transportation analysis of denoising autoencoders: a novel method for analyzing deep neural networks

Author Information

Elsa Cazelles (Institut de Mathématiques de Bordeaux)
Aude Genevay (ENS Paris - INRIA)
Gonzalo Mena (Columbia University)
Christoph Brauer (TU Braunschweig)
Asja Fischer (University of Bonn)
Henning Petzka (Fraunhofer IAIS)
Vivien Seguy (Kyoto University)
Antoine Rolet (Kyoto university)
Sho Sonoda (RIKEN)

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