Taco Cohen
Taco Cohen
Qualcomm AI Research
Verified email at qti.qualcomm.com - Homepage
Title
Cited by
Cited by
Year
Group Equivariant Convolutional Networks
TS Cohen, M Welling
Proceedings of the International Conference on Machine Learning (ICML), 2016
8682016
Spherical CNNs
TS Cohen, M Geiger, J Koehler, M Welling
International Conference on Learning Representations, 2018
5292018
Visualizing deep neural network decisions: Prediction difference analysis
LM Zintgraf, TS Cohen, T Adel, M Welling
arXiv preprint arXiv:1702.04595, 2017
4732017
Steerable CNNs
TS Cohen, M Welling
International Conference on Learning Representations, 2017
2382017
Teacher–student curriculum learning
T Matiisen, A Oliver, T Cohen, J Schulman
IEEE transactions on neural networks and learning systems 31 (9), 3732-3740, 2019
1772019
Rotation equivariant cnns for digital pathology
BS Veeling, J Linmans, J Winkens, T Cohen, M Welling
International Conference on Medical image computing and computer-assisted …, 2018
1722018
3d steerable cnns: Learning rotationally equivariant features in volumetric data
M Weiler, M Geiger, M Welling, W Boomsma, T Cohen
arXiv preprint arXiv:1807.02547, 2018
1682018
Gauge equivariant convolutional networks and the icosahedral CNN
T Cohen, M Weiler, B Kicanaoglu, M Welling
International Conference on Machine Learning, 1321-1330, 2019
1532019
A general theory of equivariant cnns on homogeneous spaces
T Cohen, M Geiger, M Weiler
arXiv preprint arXiv:1811.02017, 2018
1192018
Transformation Properties of Learned Visual Representations
TS Cohen, M Welling
International Conference on Learning Representations (ICLR), 2015
912015
Video compression with rate-distortion autoencoders
A Habibian, T Rozendaal, JM Tomczak, TS Cohen
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
722019
3D G-CNNs for pulmonary nodule detection
M Winkels, TS Cohen
arXiv preprint arXiv:1804.04656, 2018
682018
Learning the Irreducible Representations of Commutative Lie Groups
TS Cohen, M Welling
International Conference on Machine Learning (ICML), 2014
682014
Convolutional networks for spherical signals
T Cohen, M Geiger, J Köhler, M Welling
arXiv preprint arXiv:1709.04893, 2017
572017
Hexaconv
E Hoogeboom, JWT Peters, TS Cohen, M Welling
arXiv preprint arXiv:1803.02108, 2018
532018
Geometric deep learning: Grids, groups, graphs, geodesics, and gauges
MM Bronstein, J Bruna, T Cohen, P Veličković
arXiv preprint arXiv:2104.13478, 2021
452021
Pulmonary nodule detection in CT scans with equivariant CNNs
M Winkels, TS Cohen
Medical image analysis 55, 15-26, 2019
432019
A new method to visualize deep neural networks
LM Zintgraf, TS Cohen, M Welling
arXiv preprint arXiv:1603.02518, 2016
352016
Explorations in homeomorphic variational auto-encoding
L Falorsi, P de Haan, TR Davidson, N De Cao, M Weiler, P Forré, ...
arXiv preprint arXiv:1807.04689, 2018
312018
Intertwiners between induced representations (with applications to the theory of equivariant neural networks)
TS Cohen, M Geiger, M Weiler
arXiv preprint arXiv:1803.10743, 2018
282018
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