Flamingo: a visual language model for few-shot learning JB Alayrac, J Donahue, P Luc, A Miech, I Barr, Y Hasson, A Mensch, ... Advances in Neural Information Processing Systems, 2022 | 2335 | 2022 |
Mistral 7B AQ Jiang, A Sablayrolles, A Mensch, C Bamford, DS Chaplot, D Casas, ... arXiv preprint arXiv:2310.06825, 2023 | 1834* | 2023 |
Training compute-optimal large language models J Hoffmann, S Borgeaud, A Mensch, E Buchatskaya, T Cai, E Rutherford, ... Advances in Neural Information Processing Systems, 2022 | 1646* | 2022 |
Scaling language models: methods, analysis & insights from training Gopher JW Rae, S Borgeaud, T Cai, K Millican, J Hoffmann, F Song, J Aslanides, ... arXiv preprint arXiv:2112.11446, 2021 | 970* | 2021 |
Gemini: a family of highly capable multimodal models G Team, R Anil, S Borgeaud, Y Wu, JB Alayrac, J Yu, R Soricut, ... arXiv preprint arXiv:2312.11805, 2023 | 924 | 2023 |
Improving language models by retrieving from trillions of tokens S Borgeaud, A Mensch, J Hoffmann, T Cai, E Rutherford, K Millican, ... Proceedings of the International Conference on Machine Learning, 2021 | 764 | 2021 |
Mixtral of experts AQ Jiang, A Sablayrolles, A Roux, A Mensch, B Savary, C Bamford, ... arXiv preprint arXiv:2401.04088, 2024 | 445 | 2024 |
International electronic health record-derived COVID-19 clinical course profiles: the 4CE Consortium GA Brat, GM Weber, N Gehlenborg, P Avillach, NP Palmer, L Chiovato, ... npj Digital Medicine, 2020 | 180 | 2020 |
Differentiable dynamic programming for structured prediction and attention A Mensch, M Blondel Proceedings of the International Conference on Machine Learning, 2018 | 157 | 2018 |
Fine-grain atlases of functional modes for fMRI analysis K Dadi, G Varoquaux, A Machlouzarides-Shalit, KJ Gorgolewski, ... NeuroImage 221, 117126, 2020 | 95 | 2020 |
Obesity doubles mortality in patients hospitalized for severe acute respiratory syndrome coronavirus 2 in Paris hospitals, France: a cohort study on 5,795 patients S Czernichow, N Beeker, C Rives‐Lange, E Guerot, JL Diehl, S Katsahian, ... Obesity 28 (12), 2282-2289, 2020 | 71 | 2020 |
Association between FIASMAs and Reduced Risk of Intubation or Death in Individuals Hospitalized for Severe COVID‐19: an observational multicenter study N Hoertel, M Sánchez‐Rico, E Gulbins, J Kornhuber, A Carpinteiro, ... Clinical Pharmacology & Therapeutics 110 (6), 1498-1511, 2021 | 66 | 2021 |
Dictionary learning for massive matrix factorization A Mensch, J Mairal, B Thirion, G Varoquaux Proceedings of the International Conference on Machine Learning, 1737-1746, 2016 | 63 | 2016 |
Differentiable divergences between time series M Blondel, A Mensch, JP Vert International Conference on Artificial Intelligence and Statistics, 3853-3861, 2021 | 56 | 2021 |
A mean-field analysis of two-player zero-sum games C Domingo-Enrich, S Jelassi, A Mensch, G Rotskoff, J Bruna Advances in Neural Information Processing Systems, 2020 | 55 | 2020 |
Mikoł aj Binkowski, Ricardo Barreira, Oriol Vinyals, Andrew Zisserman, and Karén Simonyan. Flamingo: a visual language model for few-shot learning JB Alayrac, J Donahue, P Luc, A Miech, I Barr, Y Hasson, K Lenc, ... Advances in Neural Information Processing Systems 35, 23716-23736, 2022 | 51 | 2022 |
Learning neural representations of human cognition across many fMRI studies A Mensch, J Mairal, D Bzdok, B Thirion, G Varoquaux Advances in Neural Information Processing Systems, 5885-5895, 2017 | 47 | 2017 |
Compressed online dictionary learning for fast resting-state fMRI decomposition A Mensch, G Varoquaux, B Thirion IEEE International Symposium on Biomedical Imaging, 2016 | 47 | 2016 |
Stochastic subsampling for factorizing huge matrices A Mensch, J Mairal, B Thirion, G Varoquaux IEEE Transactions on Signal Processing 66 (1), 113-128, 2018 | 44 | 2018 |
Long-term kidney function recovery and mortality after COVID-19-associated acute kidney injury: an international multi-centre observational cohort study BWL Tan, BWQ Tan, ALM Tan, ER Schriver, A Gutiérrez-Sacristán, P Das, ... EClinicalMedicine 55, 2023 | 42 | 2023 |