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11 Results
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Poster
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Thu 17:00 |
Distributional Sliced-Wasserstein and Applications to Generative Modeling Khai Nguyen · Nhat Ho · Tung Pham · Hung Bui |
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Spotlight
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Thu 21:28 |
Distributional Sliced-Wasserstein and Applications to Generative Modeling Khai Nguyen · Nhat Ho · Tung Pham · Hung Bui |
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Poster
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Wed 9:00 |
Differentiable Trust Region Layers for Deep Reinforcement Learning Fabian Otto · Philipp Becker · Vien A Ngo · Hanna Ziesche · Gerhard Neumann |
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Poster
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Wed 1:00 |
Improving Relational Regularized Autoencoders with Spherical Sliced Fused Gromov Wasserstein Khai Nguyen · Son Nguyen · Nhat Ho · Tung Pham · Hung Bui |
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Poster
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Wed 17:00 |
Efficient Wasserstein Natural Gradients for Reinforcement Learning Ted Moskovitz · Michael Arbel · Ferenc Huszar · Arthur Gretton |
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Poster
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Wed 9:00 |
Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization Alexander Korotin · Lingxiao Li · Justin Solomon · Evgeny Burnaev |
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Poster
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Mon 1:00 |
Wasserstein-2 Generative Networks Alexander Korotin · Vage Egiazarian · Arip Asadulaev · Alexander Safin · Evgeny Burnaev |
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Poster
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Mon 9:00 |
Primal Wasserstein Imitation Learning Robert Dadashi · Léonard Hussenot-Desenonges · Matthieu Geist · Olivier Pietquin |
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Spotlight
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Thu 13:50 |
Disentangled Recurrent Wasserstein Autoencoder Jun Han · Martin Min · Ligong Han · Erran Li · Xuan Zhang |
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Poster
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Wed 1:00 |
Disentangled Recurrent Wasserstein Autoencoder Jun Han · Martin Min · Ligong Han · Erran Li · Xuan Zhang |
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Poster
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Mon 1:00 |
Wasserstein Embedding for Graph Learning Soheil Kolouri · Navid Naderializadeh · Gustavo K Rohde · Heiko Hoffmann |