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Prudencio Tossou
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2020 – today
- 2024
- [j2]Prudencio Tossou
, Cas Wognum
Real-World Molecular Out-Of-Distribution: Specification and Investigation. J. Chem. Inf. Model. 64(3): 697-711 (2024) - [c5]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, Michal Koziarski, Jiarui Lu, Zhaocheng Zhu, Cristian Gabellini, Kerstin Klaser, Josef Dean, Cas Wognum, Maciej Sypetkowski, Guillaume Rabusseau, Reihaneh Rabbany, Jian Tang, Christopher Morris, Mirco Ravanelli, Guy Wolf, Prudencio Tossou, Hadrien Mary, Therence Bois, Andrew W. Fitzgibbon, Blazej Banaszewski, Chad Martin, Dominic Masters:
Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets. ICLR 2024 - 2023
- [c4]Mazid Abiodoun Osseni, Prudencio Tossou, François Laviolette, Jacques Corbeil:
MOT: A Multi-Omics Transformer for Multiclass Classification Tumour Types Predictions. BIOINFORMATICS 2023: 252-261 - [i8]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, Michal 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 W. Fitzgibbon, Blazej Banaszewski, Chad Martin, Dominic Masters:
Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets. CoRR abs/2310.04292 (2023) - [i7]Emmanuel Noutahi, Cristian Gabellini, Michael Craig, Jonathan S. C. Lim, Prudencio Tossou:
Gotta be SAFE: A New Framework for Molecular Design. CoRR abs/2310.10773 (2023) - [i6]Nikhil Shenoy, Prudencio Tossou, Emmanuel Noutahi, Hadrien Mary, Dominique Beaini, Jiarui Ding:
Role of Structural and Conformational Diversity for Machine Learning Potentials. CoRR abs/2311.00862 (2023) - 2022
- [c3]Hannes Stärk, Dominique Beaini, Gabriele Corso, Prudencio Tossou, Christian Dallago, Stephan Günnemann, Pietro Lió:
3D Infomax improves GNNs for Molecular Property Prediction. ICML 2022: 20479-20502 - 2021
- [j1]Rogia Kpanou, Mazid Abiodoun Osseni, Prudencio Tossou, François Laviolette, Jacques Corbeil
On the robustness of generalization of drug-drug interaction models. BMC Bioinform. 22(1): 477 (2021) - [c2]Mazid Abiodoun Osseni, Prudencio Tossou, Jacques Corbeil, François Laviolette:
Applying PySCMGroup to Breast Cancer Biomarkers Discovery. BIOINFORMATICS 2021: 72-82 - [c1]Devin Kreuzer, Dominique Beaini, William L. Hamilton, Vincent Létourneau, Prudencio Tossou:
Rethinking Graph Transformers with Spectral Attention. NeurIPS 2021: 21618-21629 - [i5]Devin Kreuzer, Dominique Beaini, William L. Hamilton, Vincent Létourneau, Prudencio Tossou:
Rethinking Graph Transformers with Spectral Attention. CoRR abs/2106.03893 (2021) - [i4]Hannes Stärk, Dominique Beaini, Gabriele Corso, Prudencio Tossou, Christian Dallago, Stephan Günnemann, Pietro Liò:
3D Infomax improves GNNs for Molecular Property Prediction. CoRR abs/2110.04126 (2021) - 2020
- [i3]Tariq Daouda
Geodesics in fibered latent spaces: A geometric approach to learning correspondences between conditions. CoRR abs/2005.07852 (2020)
2010 – 2019
- 2019
- [i2]Emmanuel Noutahi, Dominique Beaini, Julien Horwood, Prudencio Tossou:
Towards Interpretable Sparse Graph Representation Learning with Laplacian Pooling. CoRR abs/1905.11577 (2019) - [i1]Prudencio Tossou, Basile Dura, François Laviolette, Mario Marchand, Alexandre Lacoste:
Adaptive Deep Kernel Learning. CoRR abs/1905.12131 (2019)
Coauthor Index
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