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2020 – today
- 2023
[c4]Astrid Klipfel, Zied Bouraoui, Olivier Peltre, Yaël Frégier, Najwa Harrati, Adlane Sayede
:
Equivariant Message Passing Neural Network for Crystal Material Discovery. AAAI 2023: 14304-14311- [i5]Astrid Klipfel, Olivier Peltre, Najwa Harrati, Yaël Frégier, Adlane Sayede, Zied Bouraoui:
Equivariant Message Passing Neural Network for Crystal Material Discovery. CoRR abs/2302.00485 (2023) - [i4]Olivier Peltre:
Local Max-Entropy and Free Energy Principles, Belief Diffusions and their Singularities. CoRR abs/2310.02946 (2023) - 2022
- [i3]Olivier Peltre:
Local Max-Entropy and Free Energy Principles Solved by Belief Propagation. CoRR abs/2207.00841 (2022) - 2021
- [c3]Olivier Peltre:
Belief Propagation as Diffusion. GSI 2021: 547-556 - [i2]Olivier Peltre:
Belief Propagation as Diffusion. CoRR abs/2107.12230 (2021) - 2020
- [c2]Nina Miolane, Nicolas Guigui, Hadi Zaatiti, Christian Shewmake, Hatem Hajri, Daniel Brooks, Alice Le Brigant, Johan Mathe, Benjamin Hou, Yann Thanwerdas, Stefan Heyder, Olivier Peltre, Niklas Koep, Yann Cabanes, Thomas Gerald, Paul Chauchat, Bernhard Kainz, Claire Donnat, Susan P. Holmes, Xavier Pennec:
Introduction to Geometric Learning in Python with Geomstats. SciPy 2020: 48-57 - [i1]Nina Miolane, Alice Le Brigant, Johan Mathe, Benjamin Hou, Nicolas Guigui, Yann Thanwerdas, Stefan Heyder, Olivier Peltre, Niklas Koep, Hadi Zaatiti, Hatem Hajri, Yann Cabanes, Thomas Gerald, Paul Chauchat, Christian Shewmake, Bernhard Kainz, Claire Donnat, Susan P. Holmes, Xavier Pennec:
Geomstats: A Python Package for Riemannian Geometry in Machine Learning. CoRR abs/2004.04667 (2020)
2010 – 2019
- 2019
- [c1]Olivier Peltre:
A Homological Approach to Belief Propagation and Bethe Approximations. GSI 2019: 218-227
Coauthor Index
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