6 x 3 minutes spotlights
Rémi Flamary · Yongxin Chen · Napat Rujeerapaiboon · Jonas Adler · John Lee · Lucas R Roberts
2017 Poster Spotlights
in
Workshop: Optimal Transport and Machine Learning
in
Workshop: Optimal Transport and Machine Learning
Abstract
- Nicolas Courty, Rémi Flamary and Mélanie Ducoffe. Learning Wasserstein Embeddings
- Yongxin Chen, Tryphon Georgiou and Allen Tannenbaum. Optimal transport for Gaussian mixture models
- Napat Rujeerapaiboon, Kilian Schindler, Daniel Kuhn and Wolfram Wiesemann. Size Matters: Cardinality-Constrained Clustering and Outlier Detection via Conic Optimization
- Jonas Adler, Axel Ringh, Ozan Öktem and Johan Karlsson. Learning to solve inverse problems using Wasserstein loss
- John Lee, Adam Charles, Nicholas Bertrand and Christopher Rozell. An Optimal Transport Tracking Regularizer
- Lucas Roberts, Leo Razoumov, Lin Su and Yuyang Wang. Gini-regularized Optimal Transport with an Application in Spatio-Temporal Forecasting
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