| Group Equivariant Convolutional Networks TS Cohen, M Welling Proceedings of the International Conference on Machine Learning (ICML), 2016 | 531 | 2016 |
| Spherical CNNs TS Cohen, M Geiger, J Koehler, M Welling International Conference on Learning Representations, 2018 | 327* | 2018 |
| Visualizing deep neural network decisions: Prediction difference analysis LM Zintgraf, TS Cohen, T Adel, M Welling arXiv preprint arXiv:1702.04595, 2017 | 302 | 2017 |
| Steerable CNNs TS Cohen, M Welling International Conference on Learning Representations, 2017 | 148 | 2017 |
| Teacher-student curriculum learning T Matiisen, A Oliver, T Cohen, J Schulman IEEE transactions on neural networks and learning systems, 2019 | 90 | 2019 |
| 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, 10381-10392, 2018 | 88 | 2018 |
| 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 | 76 | 2018 |
| Transformation Properties of Learned Visual Representations TS Cohen, M Welling International Conference on Learning Representations (ICLR), 2015 | 70 | 2015 |
| Gauge equivariant convolutional networks and the icosahedral cnn TS Cohen, M Weiler, B Kicanaoglu, M Welling arXiv preprint arXiv:1902.04615, 2019 | 69 | 2019 |
| A general theory of equivariant cnns on homogeneous spaces TS Cohen, M Geiger, M Weiler Advances in Neural Information Processing Systems, 9145-9156, 2019 | 54 | 2019 |
| Learning the Irreducible Representations of Commutative Lie Groups TS Cohen, M Welling International Conference on Machine Learning (ICML), 2014 | 51 | 2014 |
| 3D G-CNNs for pulmonary nodule detection M Winkels, TS Cohen arXiv preprint arXiv:1804.04656, 2018 | 43 | 2018 |
| Convolutional networks for spherical signals T Cohen, M Geiger, J Köhler, M Welling arXiv preprint arXiv:1709.04893, 2017 | 40 | 2017 |
| A new method to visualize deep neural networks LM Zintgraf, TS Cohen, M Welling arXiv preprint arXiv:1603.02518, 2016 | 29 | 2016 |
| Hexaconv E Hoogeboom, JWT Peters, TS Cohen, M Welling arXiv preprint arXiv:1803.02108, 2018 | 28 | 2018 |
| Pulmonary nodule detection in CT scans with equivariant CNNs M Winkels, TS Cohen Medical image analysis 55, 15-26, 2019 | 27 | 2019 |
| Video compression with rate-distortion autoencoders A Habibian, T Rozendaal, JM Tomczak, TS Cohen Proceedings of the IEEE International Conference on Computer Vision, 7033-7042, 2019 | 26 | 2019 |
| Dinner with a Cannibal: The Complete History of Mankind's Oldest Taboo CA Travis-Henikoff Santa Monica Press, 2008 | 25 | 2008 |
| Edible insects processing: Traditional and innovative technologies G Melgar‐Lalanne, AJ Hernández‐Álvarez, A Salinas‐Castro Comprehensive Reviews in Food Science and Food Safety 18 (4), 1166-1191, 2019 | 22 | 2019 |
| 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 | 21 | 2018 |
Max WellingProfessor Machine Learning, University of AmsterdamVerified email at uva.nl
