Prudencio Tossou

20 papers A* 3Journal 15Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	MarS-FM: Generative Modeling of Molecular Dynamics via Markov State Models. CoRR Kacper Kapusniak, Cristian Gabellini, Michael M. Bronstein, Prudencio Tossou, Francesco Di Giovanni
2025	J	`jnl`	Torsional-GFN: a conditional conformation generator for small molecules. CoRR Alexandra Volokhova, Léna Néhale Ezzine, Piotr Gainski, Luca Scimeca, Emmanuel Bengio, Prudencio Tossou, Yoshua Bengio, Alex Hernández-García
2025	J	`jnl`	Virtual Cells: Predict, Explain, Discover. CoRR Emmanuel Noutahi, Jason S. Hartford, Prudencio Tossou, Shawn Whitfield, Alisandra Kaye Denton, Cas Wognum, Kristina Ulicna, Michael Craig, Jonathan Hsu, Michael Cuccarese, Emmanuel Bengio, Dominique Beaini, Christopher Gibson, Daniel Cohen, Berton Earnshaw
2024	J	`jnl`	Implicit Delta Learning of High Fidelity Neural Network Potentials. CoRR Stephan Thaler, Cristian Gabellini, Nikhil Shenoy, Prudencio Tossou
2024	J	`jnl`	OpenQDC: Open Quantum Data Commons. CoRR Cristian Gabellini, Nikhil Shenoy, Stephan Thaler, Semih Cantürk, Daniel McNeela, Dominique Beaini, Michael M. Bronstein, Prudencio Tossou
2024	J	`jnl`	Real-World Molecular Out-Of-Distribution: Specification and Investigation. J. Chem. Inf. Model. Prudencio Tossou, Cas Wognum, Michael Craig, Hadrien Mary, Emmanuel Noutahi
2024	A*	`conf`	Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets. ICLR 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
2023	J	`jnl`	Gotta be SAFE: A New Framework for Molecular Design. CoRR Emmanuel Noutahi, Cristian Gabellini, Michael Craig, Jonathan S. C. Lim, Prudencio Tossou
2023	—	`conf`	MOT: A Multi-Omics Transformer for Multiclass Classification Tumour Types Predictions. BIOINFORMATICS Mazid Abiodoun Osseni, Prudencio Tossou, François Laviolette, Jacques Corbeil
2023	J	`jnl`	Role of Structural and Conformational Diversity for Machine Learning Potentials. CoRR Nikhil Shenoy, Prudencio Tossou, Emmanuel Noutahi, Hadrien Mary, Dominique Beaini, Jiarui Ding
2023	J	`jnl`	Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets. CoRR 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
2022	A*	`conf`	3D Infomax improves GNNs for Molecular Property Prediction. ICML Hannes Stärk, Dominique Beaini, Gabriele Corso, Prudencio Tossou, Christian Dallago, Stephan Günnemann, Pietro Lió
2021	J	`jnl`	3D Infomax improves GNNs for Molecular Property Prediction. CoRR Hannes Stärk, Dominique Beaini, Gabriele Corso, Prudencio Tossou, Christian Dallago, Stephan Günnemann, Pietro Liò
2021	—	`conf`	Applying PySCMGroup to Breast Cancer Biomarkers Discovery. BIOINFORMATICS Mazid Abiodoun Osseni, Prudencio Tossou, Jacques Corbeil, François Laviolette
2021	J	`jnl`	On the robustness of generalization of drug-drug interaction models. BMC Bioinform. Rogia Kpanou, Mazid Abiodoun Osseni, Prudencio Tossou, François Laviolette, Jacques Corbeil
2021	A*	`conf`	Rethinking Graph Transformers with Spectral Attention. NeurIPS Devin Kreuzer, Dominique Beaini, William L. Hamilton, Vincent Létourneau, Prudencio Tossou
2021	J	`jnl`	Rethinking Graph Transformers with Spectral Attention. CoRR Devin Kreuzer, Dominique Beaini, William L. Hamilton, Vincent Létourneau, Prudencio Tossou
2020	J	`jnl`	Geodesics in fibered latent spaces: A geometric approach to learning correspondences between conditions. CoRR Tariq Daouda, Reda Chhaibi, Prudencio Tossou, Alexandra-Chloé Villani
2019	J	`jnl`	Adaptive Deep Kernel Learning. CoRR Prudencio Tossou, Basile Dura, François Laviolette, Mario Marchand, Alexandre Lacoste
2019	J	`jnl`	Towards Interpretable Sparse Graph Representation Learning with Laplacian Pooling. CoRR Emmanuel Noutahi, Dominique Beaini, Julien Horwood, Prudencio Tossou