Spremljaj
Taco Cohen
Taco Cohen
Druga imenaTaco S Cohen
Qualcomm AI Research
Preverjeni e-poštni naslov na qti.qualcomm.com - Domača stran
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Leto
Group Equivariant Convolutional Networks
TS Cohen, M Welling
Proceedings of the International Conference on Machine Learning (ICML), 2016
24242016
Geometric deep learning: Grids, groups, graphs, geodesics, and gauges
MM Bronstein, J Bruna, T Cohen, P Veličković
arXiv preprint arXiv:2104.13478, 2021
15272021
Spherical CNNs
TS Cohen, M Geiger, J Koehler, M Welling
International Conference on Learning Representations, 2018
12772018
Visualizing deep neural network decisions: Prediction difference analysis
LM Zintgraf, TS Cohen, T Adel, M Welling
arXiv preprint arXiv:1702.04595, 2017
9182017
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
6832018
Steerable CNNs
TS Cohen, M Welling
International Conference on Learning Representations, 2017
6002017
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
5952018
Gauge equivariant convolutional networks and the icosahedral CNN
T Cohen, M Weiler, B Kicanaoglu, M Welling
International conference on Machine learning, 1321-1330, 2019
5012019
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
4822019
A general theory of equivariant cnns on homogeneous spaces
TS Cohen, M Geiger, M Weiler
Advances in neural information processing systems 32, 2019
3942019
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
2652019
Transformer-based transform coding
Y Zhu, Y Yang, T Cohen
International conference on learning representations, 2022
1672022
Weakly supervised causal representation learning
J Brehmer, P De Haan, P Lippe, TS Cohen
Advances in Neural Information Processing Systems 35, 38319-38331, 2022
1492022
Gauge equivariant mesh cnns: Anisotropic convolutions on geometric graphs
P De Haan, M Weiler, T Cohen, M Welling
arXiv preprint arXiv:2003.05425, 2020
1392020
3D G-CNNs for pulmonary nodule detection
M Winkels, TS Cohen
arXiv preprint arXiv:1804.04656, 2018
1382018
Learning the Irreducible Representations of Commutative Lie Groups
TS Cohen, M Welling
International Conference on Machine Learning (ICML), 2014
1342014
Hexaconv
E Hoogeboom, JWT Peters, TS Cohen, M Welling
arXiv preprint arXiv:1803.02108, 2018
1282018
Pulmonary nodule detection in CT scans with equivariant CNNs
M Winkels, TS Cohen
Medical image analysis 55, 15-26, 2019
1242019
Transformation Properties of Learned Visual Representations
TS Cohen, M Welling
International Conference on Learning Representations (ICLR), 2015
1222015
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
1162018
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