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Taco Cohen
Taco Cohen
Altri nomiTaco S Cohen
Qualcomm AI Research
Email verificata su qti.qualcomm.com - Home page
Titolo
Citata da
Citata da
Anno
Group Equivariant Convolutional Networks
TS Cohen, M Welling
Proceedings of the International Conference on Machine Learning (ICML), 2016
22792016
Geometric deep learning: Grids, groups, graphs, geodesics, and gauges
MM Bronstein, J Bruna, T Cohen, P Veličković
arXiv preprint arXiv:2104.13478, 2021
13452021
Spherical CNNs
TS Cohen, M Geiger, J Koehler, M Welling
International Conference on Learning Representations, 2018
12342018
Visualizing deep neural network decisions: Prediction difference analysis
LM Zintgraf, TS Cohen, T Adel, M Welling
arXiv preprint arXiv:1702.04595, 2017
8852017
Rotation equivariant CNNs for digital pathology
BS Veeling, J Linmans, J Winkens, T Cohen, M Welling
Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018
6412018
3d steerable cnns: Learning rotationally equivariant features in volumetric data
M Weiler, M Geiger, M Welling, W Boomsma, TS Cohen
Advances in Neural Information Processing Systems 31, 2018
5622018
Steerable CNNs
TS Cohen, M Welling
International Conference on Learning Representations, 2017
5622017
Gauge equivariant convolutional networks and the icosahedral CNN
T Cohen, M Weiler, B Kicanaoglu, M Welling
International conference on Machine learning, 1321-1330, 2019
4712019
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
4572019
A general theory of equivariant cnns on homogeneous spaces
TS Cohen, M Geiger, M Weiler
Advances in neural information processing systems 32, 2019
3792019
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
2462019
Transformer-based transform coding
Y Zhu, Y Yang, T Cohen
International Conference on Learning Representations, 2022
1392022
3D G-CNNs for pulmonary nodule detection
M Winkels, TS Cohen
arXiv preprint arXiv:1804.04656, 2018
1332018
Gauge equivariant mesh CNNs: Anisotropic convolutions on geometric graphs
P De Haan, M Weiler, T Cohen, M Welling
arXiv preprint arXiv:2003.05425, 2020
1302020
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
1292018
Learning the Irreducible Representations of Commutative Lie Groups
TS Cohen, M Welling
International Conference on Machine Learning (ICML), 2014
1282014
Weakly supervised causal representation learning
J Brehmer, P De Haan, P Lippe, TS Cohen
Advances in Neural Information Processing Systems 35, 38319-38331, 2022
1212022
Hexaconv
E Hoogeboom, JWT Peters, TS Cohen, M Welling
arXiv preprint arXiv:1803.02108, 2018
1202018
Transformation Properties of Learned Visual Representations
TS Cohen, M Welling
International Conference on Learning Representations (ICLR), 2015
1202015
Pulmonary nodule detection in CT scans with equivariant CNNs
M Winkels, TS Cohen
Medical image analysis 55, 15-26, 2019
1172019
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