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Prudencio Tossou
Title
Cited by
Year
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, 2024
32024
Gotta be SAFE: A New Framework for Molecular Design
E Noutahi, C Gabellini, M Craig, JSC Lim, P Tossou
Digital Discovery, 2024
2024
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
2023
Towards foundational models for molecular learning on large-scale multi-task datasets
D Beaini, S Huang, JA Cunha, G Moisescu-Pareja, O Dymov, ...
arXiv preprint arXiv:2310.04292, 2023
52023
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
12023
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
32022
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
1632022
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
3552021
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
52021
3D Pre-training improves GNNs for Molecular Property Prediction
H Stärk, D Beaini, G Corso, P Tossou, C Dallago, S Günnemann, P Lio
2021
Applying PySCMGroup to Breast Cancer Biomarkers Discovery.
MA Osseni, P Tossou, J Corbeil, F Laviolette
BIOINFORMATICS, 72-82, 2021
32021
Meta-learning for drug discovery
B Dura, P Tossou, C Subakan, AI InVivo
2020
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
12020
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
12019
Towards Interpretable Molecular Graph Representation Learning
E Noutahi, D Beani, J Horwood, P Tossou
12019
MODELLING BIOLOGICAL ASSAYS WITH ADAPTIVE DEEP KERNEL LEARNING
P Tossou, B Dura, D Cohen, M Marchand, F Laviolette, A Lacoste
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
152019
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
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
352019
Adaptive deep kernel learning
P Tossou, B Dura, F Laviolette, M Marchand, A Lacoste
arXiv preprint arXiv:1905.12131, 2019
322019
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Articles 1–20