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Natural Graph Networks

Jul 16, 2020
Pim de Haan, Taco Cohen, Max Welling


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Gauge Equivariant Mesh CNNs: Anisotropic convolutions on geometric graphs

Mar 11, 2020
Pim de Haan, Maurice Weiler, Taco Cohen, Max Welling


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Covariance in Physics and Convolutional Neural Networks

Jun 06, 2019
Miranda C. N. Cheng, Vassilis Anagiannis, Maurice Weiler, Pim de Haan, Taco S. Cohen, Max Welling


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Causal Confusion in Imitation Learning

May 28, 2019
Pim de Haan, Dinesh Jayaraman, Sergey Levine

* 8 pages, plus references and appendices 

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Reparameterizing Distributions on Lie Groups

Mar 07, 2019
Luca Falorsi, Pim de Haan, Tim R. Davidson, Patrick Forré

* AISTATS (2019), code available at https://github.com/pimdh/relie 

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Topological Constraints on Homeomorphic Auto-Encoding

Dec 27, 2018
Pim de Haan, Luca Falorsi


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Explorations in Homeomorphic Variational Auto-Encoding

Jul 12, 2018
Luca Falorsi, Pim de Haan, Tim R. Davidson, Nicola De Cao, Maurice Weiler, Patrick Forré, Taco S. Cohen

* 16 pages, 8 figures, ICML workshop on Theoretical Foundations and Applications of Deep Generative Models 

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