Pim de Haan
Pim de Haan
Qualcomm AI Research, University of Amsterdam
Verified email at uva.nl - Homepage
Title
Cited by
Cited by
Year
Explorations in Homeomorphic Variational Auto-Encoding
L Falorsi, P de Haan, TR Davidson, N De Cao, M Weiler, P Forré, ...
ICML 2018 workshop on Theoretical Foundations and Applications of Deep …, 2018
182018
Reparameterizing Distributions on Lie Groups
L Falorsi, P de Haan, TR Davidson, P Forré
AISTATS 2019, 2019
172019
Causal confusion in imitation learning
P de Haan, D Jayaraman, S Levine
Advances in Neural Information Processing Systems, 11698-11709, 2019
162019
Topological Constraints on Homeomorphic Auto-Encoding
P de Haan, L Falorsi
NeurIPS 2018 Workshop on Integration of Deep Learning Theories, 2018
32018
Gauge Equivariant Mesh CNNs: Anisotropic convolutions on geometric graphs
P de Haan, M Weiler, T Cohen, M Welling
arXiv preprint arXiv:2003.05425, 2020
22020
Covariance in Physics and Convolutional Neural Networks
MCN Cheng, V Anagiannis, M Weiler, P de Haan, TS Cohen, M Welling
arXiv preprint arXiv:1906.02481, 2019
22019
Natural Graph Networks
P de Haan, T Cohen, M Welling
arXiv preprint arXiv:2007.08349, 2020
2020
Gauge Equivariant Spherical CNNs
B Kicanaoglu, P de Haan, T Cohen
2019
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Articles 1–8