Taco S. Cohen

Identifiers

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Papers (13)

1. Covariance in Physics and Convolutional Neural Networks cs.LG · 2019 · author #5
2. Gauge Equivariant Convolutional Networks and the Icosahedral CNN cs.LG · 2019 · author #1
3. Explorations in Homeomorphic Variational Auto-Encoding stat.ML · 2018 · author #7
4. Sample Efficient Semantic Segmentation using Rotation Equivariant Convolutional Networks cs.CV · 2018 · author #4
5. 3D G-CNNs for Pulmonary Nodule Detection cs.LG · 2018 · author #2
6. Intertwiners between Induced Representations (with Applications to the Theory of Equivariant Neural Networks) cs.LG · 2018 · author #1
7. HexaConv cs.LG · 2018 · author #3
8. Spherical CNNs cs.LG · 2018 · author #1
9. Steerable CNNs cs.LG · 2016 · author #1
10. A New Method to Visualize Deep Neural Networks cs.CV · 2016 · author #2
11. Group Equivariant Convolutional Networks cs.LG · 2016 · author #1
12. Harmonic Exponential Families on Manifolds stat.ML · 2015 · author #1
13. Transformation Properties of Learned Visual Representations cs.LG · 2014 · author #1

Mentions

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Frequent Coauthors

• Max Welling 10 shared papers
• Maurice Weiler 4 shared papers
• Mario Geiger 2 shared papers
• Pim de Haan 2 shared papers
• Bastiaan S. Veeling 1 shared papers
• Berkay Kicanaoglu 1 shared papers
• Emiel Hoogeboom 1 shared papers
• Jasper Linmans 1 shared papers
• Jim Winkens 1 shared papers
• Jonas Koehler 1 shared papers
• Jorn W.T. Peters 1 shared papers
• Luca Falorsi 1 shared papers
• Luisa M. Zintgraf 1 shared papers
• Marysia Winkels 1 shared papers
• Miranda C. N. Cheng 1 shared papers
• Nicola De Cao 1 shared papers
• Patrick Forr\'e 1 shared papers
• Tim R. Davidson 1 shared papers
• Vassilis Anagiannis 1 shared papers