| 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 | 86 | 2020 |
| Extra-fine sheaves and interaction decompositions D Bennequin, O Peltre, G Sergeant-Perthuis, JP Vigneaux arXiv preprint arXiv:2009.12646, 2020 | 14* | 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 |
| A homological approach to belief propagation and Bethe approximations O Peltre Geometric Science of Information: 4th International Conference, GSI 2019 …, 2019 | 9 | 2019 |
| Equivariant message passing neural network for crystal material discovery A Klipfel, Z Bouraoui, O Peltre, Y Fregier, N Harrati, A Sayede Proceedings of the AAAI Conference on Artificial Intelligence 37 (12), 14304 …, 2023 | 7 | 2023 |
| Message-passing algorithms and homology O Peltre arXiv preprint arXiv:2009.11631, 2020 | 6 | 2020 |
| Belief Propagation as Diffusion O Peltre Geometric Science of Information: 5th International Conference, GSI 2021 …, 2021 | 2 | 2021 |
| Local Max-Entropy and Free Energy Principles, Belief Diffusions and their Singularities O Peltre arXiv preprint arXiv:2310.02946, 2023 | | 2023 |
| Periodic equivariant graph neural network (PEGNN) for crystalin system A Klipfel, Z Bouraoui, O Peltre, Y Fregier, A Sayede Matériaux 2022, 2022 | | 2022 |
| Local Max-Entropy and Free Energy Principles Solved by Belief Propagation O Peltre arXiv preprint arXiv:2207.00841, 2022 | | 2022 |
| Homological Algebra for Message-Passing Algorithms O Peltre | | 2020 |
