| Rethinking graph transformers with spectral attention D Kreuzer, D Beaini, W Hamilton, V Létourneau, P Tossou Advances in Neural Information Processing Systems 34, 21618-21629, 2021 | 493 | 2021 |
| 3d infomax improves gnns for molecular property prediction H Stärk, D Beaini, G Corso, P Tossou, C Dallago, S Günnemann, P Liò International Conference on Machine Learning, 20479-20502, 2022 | 209 | 2022 |
| The gametic synapse: RNA transfer to the bovine oocyte AD Macaulay, I Gilbert, J Caballero, R Barreto, E Fournier, P Tossou, ... Biology of reproduction 91 (4), 90, 1-12, 2014 | 201 | 2014 |
| Towards interpretable sparse graph representation learning with laplacian pooling E Noutahi, D Beaini, J Horwood, S Giguère, P Tossou arXiv preprint arXiv:1905.11577, 2019 | 40 | 2019 |
| Adaptive deep kernel learning P Tossou, B Dura, F Laviolette, M Marchand, A Lacoste arXiv preprint arXiv:1905.12131, 2019 | 35 | 2019 |
| Convolutional neural networks for spectroscopic analysis in retinal oximetry DT DePaoli, P Tossou, M Parent, D Sauvageau, DC Côté Scientific reports 9 (1), 11387, 2019 | 16 | 2019 |
| Towards foundational models for molecular learning on large-scale multi-task datasets D Beaini, S Huang, JA Cunha, Z Li, G Moisescu-Pareja, O Dymov, ... arXiv preprint arXiv:2310.04292, 2023 | 13 | 2023 |
| Gotta be SAFE: a new framework for molecular design E Noutahi, C Gabellini, M Craig, JSC Lim, P Tossou Digital Discovery 3 (4), 796-804, 2024 | 10 | 2024 |
| Real-world molecular out-of-distribution: Specification and investigation P Tossou, C Wognum, M Craig, H Mary, E Noutahi Journal of Chemical Information and Modeling 64 (3), 697-711, 2024 | 9 | 2024 |
| MOT: a Multi-Omics Transformer for multiclass classification tumour types predictions MA Osseni, P Tossou, F Laviolette, J Corbeil BioRxiv, 2022.11. 14.516459, 2022 | 6 | 2022 |
| On the robustness of generalization of drug–drug interaction models R Kpanou, MA Osseni, P Tossou, F Laviolette, J Corbeil BMC bioinformatics 22, 1-21, 2021 | 5 | 2021 |
| Applying PySCMGroup to Breast Cancer Biomarkers Discovery. MA Osseni, P Tossou, J Corbeil, F Laviolette BIOINFORMATICS, 72-82, 2021 | 3 | 2021 |
| Role of Structural and Conformational Diversity for Machine Learning Potentials N Shenoy, P Tossou, E Noutahi, H Mary, D Beaini, J Ding arXiv preprint arXiv:2311.00862, 2023 | 1 | 2023 |
| MoDTI: Modular framework for evaluating inductive biases in DTI modeling RH Eyono, P Tossou, C Wognum, E Noutahi ICLR 2023-Machine Learning for Drug Discovery Workshop, 2023 | 1 | 2023 |
| Geodesics in fibered latent spaces: A geometric approach to learning correspondences between conditions T Daouda, R Chhaibi, P Tossou, AC Villani arXiv preprint arXiv:2005.07852, 2020 | 1 | 2020 |
| Improvement and validation of high precision ocular oximetry using a convolutional neural network algorithm and a phantom eye J Desroches, D DePaoli, N Lapointe, C Paulin, P Tossou, P Sauvageau, ... Acta Ophthalmologica 97, 2019 | 1 | 2019 |
| Towards Interpretable Molecular Graph Representation Learning E Noutahi, D Beani, J Horwood, P Tossou | 1 | |
| Meta-learning for drug discovery B Dura, P Tossou, C Subakan, AI InVivo | | 2020 |
| Improvement and validation of high precision ocular oximetry using a convolutional neural network algorithm and a phantom eye DT DePaoli, N Lapointe, P Tossou, J Desroches, P Saugaveau, DC Côté, ... Investigative Ophthalmology & Visual Science 60 (11), PB0101-PB0101, 2019 | | 2019 |
| Few-shot learning with KRR P Tossou | | 2018 |
