| Ranked reward: Enabling self-play reinforcement learning for combinatorial optimization A Laterre, Y Fu, MK Jabri, AS Cohen, D Kas, K Hajjar, TS Dahl, A Kerkeni, ... arXiv preprint arXiv:1807.01672, 2018 | 104 | 2018 |
| The nucleotide transformer: Building and evaluating robust foundation models for human genomics H Dalla-Torre, L Gonzalez, J Mendoza-Revilla, NL Carranza, ... BioRxiv, 2023.01. 11.523679, 2023 | 97 | 2023 |
| Diversity policy gradient for sample efficient quality-diversity optimization T Pierrot, V Macé, F Chalumeau, A Flajolet, G Cideron, K Beguir, A Cully, ... Proceedings of the Genetic and Evolutionary Computation Conference, 1075-1083, 2022 | 58 | 2022 |
| Learning compositional neural programs with recursive tree search and planning T Pierrot, G Ligner, SE Reed, O Sigaud, N Perrin, A Laterre, D Kas, ... Advances in Neural Information Processing Systems 32, 2019 | 45 | 2019 |
| Multi-objective quality diversity optimization T Pierrot, G Richard, K Beguir, A Cully Proceedings of the Genetic and Evolutionary Computation Conference, 139-147, 2022 | 35 | 2022 |
| Early computational detection of potential high-risk SARS-CoV-2 variants K Beguir, MJ Skwark, Y Fu, T Pierrot, NL Carranza, A Laterre, I Kadri, ... Computers in biology and medicine 155, 106618, 2023 | 31 | 2023 |
| Qd-rl: Efficient mixing of quality and diversity in reinforcement learning G Cideron, T Pierrot, N Perrin, K Beguir, O Sigaud arXiv preprint arXiv:2006.08505, 28-73, 2020 | 31 | 2020 |
| Progressive loss of conserved spike protein neutralizing antibody sites in Omicron sublineages is balanced by preserved T cell immunity A Muik, BG Lui, J Quandt, H Diao, Y Fu, M Bacher, J Gordon, A Toker, ... Cell Reports 42 (8), 2023 | 23 | 2023 |
| Mava: A research framework for distributed multi-agent reinforcement learning A Pretorius, K Tessera, AP Smit, C Formanek, SJ Grimbly, K Eloff, ... arXiv e-prints, arXiv: 2107.01460, 2021 | 19* | 2021 |
| A game-theoretic analysis of networked system control for common-pool resource management using multi-agent reinforcement learning A Pretorius, S Cameron, E Van Biljon, T Makkink, S Mawjee, J du Plessis, ... Advances in neural information processing systems 33, 9983-9994, 2020 | 14 | 2020 |
| Fast population-based reinforcement learning on a single machine A Flajolet, CB Monroc, K Beguir, T Pierrot International Conference on Machine Learning, 6533-6547, 2022 | 13 | 2022 |
| Offline reinforcement learning hands-on L Monier, J Kmec, A Laterre, T Pierrot, V Courgeau, O Sigaud, K Beguir arXiv preprint arXiv:2011.14379, 2020 | 12 | 2020 |
| A foundational large language model for edible plant genomes J Mendoza-Revilla, E Trop, L Gonzalez, M Roller, H Dalla-Torre, ... Communications Biology 7 (1), 835, 2024 | 10 | 2024 |
| De novo peptide sequencing with InstaNovo: Accurate, database-free peptide identification for large scale proteomics experiments K Eloff, K Kalogeropoulos, O Morell, A Mabona, JB Jespersen, W Williams, ... bioRxiv, 2023.08. 30.555055, 2023 | 8 | 2023 |
| Assessing Quality-Diversity Neuro-Evolution Algorithms Performance in Hard Exploration Problems F Chalumeau, T Pierrot, V Macé, A Flajolet, K Beguir, A Cully, ... arXiv preprint arXiv:2211.13742, 2022 | 7 | 2022 |
| Ranked reward: enabling self-play reinforcement learning for bin packing A Laterre, Y Fu, MK Jabri, AS Cohen, D Kas, K Hajjar, H Chen, TS Dahl, ... Academic Press, 2019 | 7 | 2019 |
| SegmentNT: annotating the genome at single-nucleotide resolution with DNA foundation models BP de Almeida, H Dalla-Torre, G Richard, C Blum, L Hexemer, M Gélard, ... bioRxiv, 2024.03. 14.584712, 2024 | 6 | 2024 |
| Peptide-MHC structure prediction with mixed residue and atom graph neural network AP Delaunay, Y Fu, A Bégué, R McHardy, BA Djermani, M Rooney, ... bioRxiv, 2022.11. 23.517618, 2022 | 6 | 2022 |
| So manyfolds, so little time: efficient protein structure prediction with pLMs and MSAs TD Barrett, A Villegas-Morcillo, L Robinson, B Gaujac, D Adméte, ... bioRxiv, 2022.10. 15.511553, 2022 | 4 | 2022 |
| Diversity Policy Gradient for Sample Efficient Quality-Diversity Optimization.(2021) T Pierrot, V Macé, G Cideron, K Beguir, A Cully, O Sigaud, N Perrin | 4 | 2021 |
