Geomstats: a Python package for Riemannian geometry in machine learning N Miolane, N Guigui, A Le Brigant, J Mathe, B Hou, Y Thanwerdas, ... Journal of Machine Learning Research 21 (223), 1-9, 2020 | 87 | 2020 |
Introduction to geometric learning in python with geomstats N Miolane, N Guigui, H Zaatiti, C Shewmake, H Hajri, D Brooks, ... SciPy 2020-19th Python in Science Conference, 48-57, 2020 | 12 | 2020 |
Bispectral neural networks S Sanborn, C Shewmake, B Olshausen, C Hillar arXiv preprint arXiv:2209.03416, 2022 | 10 | 2022 |
Iclr 2022 challenge for computational geometry & topology: Design and results A Myers, S Utpala, S Talbar, S Sanborn, C Shewmake, C Donnat, J Mathe, ... Topological, Algebraic and Geometric Learning Workshops 2022, 269-276, 2022 | 4 | 2022 |
Group equivariant sparse coding C Shewmake, N Miolane, B Olshausen International Conference on Geometric Science of Information, 91-101, 2023 | 2 | 2023 |
Visual Scene Representation with Hierarchical Equivariant Sparse Coding C Shewmake, D Buracas, H Lillemark, J Shin, EJ Bekkers, N Miolane, ... NeurIPS 2023 Workshop on Symmetry and Geometry in Neural Representations, 2023 | | 2023 |
1. Symmetry and Geometry in Neural Representations S Sanborn, C Shewmake, S Azeglio, A Di Bernardo, N Miolane | | 2022 |
NeurIPS Workshop on Symmetry and Geometry in Neural Representations S Sanborn, C Shewmake, S Azeglio, A Di Bernardo, N Miolane Proceedings of the 1st NeurIPS Workshop on Symmetry and Geometry in Neural …, 2022 | | 2022 |