متابعة
Taco Cohen
Taco Cohen
Qualcomm AI Research
بريد إلكتروني تم التحقق منه على qti.qualcomm.com - الصفحة الرئيسية
عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
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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مقالات 1–20