Karim Beguir
Karim Beguir
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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
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
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
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
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
Multi-objective quality diversity optimization
T Pierrot, G Richard, K Beguir, A Cully
Proceedings of the Genetic and Evolutionary Computation Conference, 139-147, 2022
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
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
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
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
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
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
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
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
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
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
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
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
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
Diversity Policy Gradient for Sample Efficient Quality-Diversity Optimization.(2021)
T Pierrot, V Macé, G Cideron, K Beguir, A Cully, O Sigaud, N Perrin
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