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Prudencio Tossou

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Role of Structural and Conformational Diversity for Machine Learning Potentials

Oct 30, 2023
Nikhil Shenoy, Prudencio Tossou, Emmanuel Noutahi, Hadrien Mary, Dominique Beaini, Jiarui Ding

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Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets

Oct 18, 2023
Dominique Beaini, Shenyang Huang, Joao Alex Cunha, Zhiyi Li, Gabriela Moisescu-Pareja, Oleksandr Dymov, Samuel Maddrell-Mander, Callum McLean, Frederik Wenkel, Luis Müller, Jama Hussein Mohamud, Ali Parviz, Michael Craig, Michał Koziarski, Jiarui Lu, Zhaocheng Zhu, Cristian Gabellini, Kerstin Klaser, Josef Dean, Cas Wognum, Maciej Sypetkowski, Guillaume Rabusseau, Reihaneh Rabbany, Jian Tang, Christopher Morris, Ioannis Koutis, Mirco Ravanelli, Guy Wolf, Prudencio Tossou, Hadrien Mary, Therence Bois, Andrew Fitzgibbon, Błażej Banaszewski, Chad Martin, Dominic Masters

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Gotta be SAFE: A New Framework for Molecular Design

Oct 16, 2023
Emmanuel Noutahi, Cristian Gabellini, Michael Craig, Jonathan S. C Lim, Prudencio Tossou

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3D Infomax improves GNNs for Molecular Property Prediction

Oct 08, 2021
Hannes Stärk, Dominique Beaini, Gabriele Corso, Prudencio Tossou, Christian Dallago, Stephan Günnemann, Pietro Liò

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Rethinking Graph Transformers with Spectral Attention

Jun 09, 2021
Devin Kreuzer, Dominique Beaini, William L. Hamilton, Vincent Létourneau, Prudencio Tossou

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Geodesics in fibered latent spaces: A geometric approach to learning correspondences between conditions

May 24, 2020
Tariq Daouda, Reda Chhaibi, Prudencio Tossou, Alexandra-Chloé Villani

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