| Differentiable dynamic programming for structured prediction and attention A Mensch, M Blondel Proceedings of the International Conference on Machine Learning, 2018 | 53 | 2018 |
| 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 | 51 | 2016 |
| 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 | 29 | 2020 |
| Stochastic subsampling for factorizing huge matrices A Mensch, J Mairal, B Thirion, G Varoquaux IEEE Transactions on Signal Processing 66 (1), 113-128, 2018 | 26 | 2018 |
| Compressed online dictionary learning for fast resting-state fMRI decomposition A Mensch, G Varoquaux, B Thirion IEEE International Symposium on Biomedical Imaging, 2016 | 24 | 2016 |
| 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 | 23 | 2017 |
| Learning brain regions via large-scale online structured sparse dictionary learning E Dohmatob, A Mensch, G Varoquaux, B Thirion Advances in Neural Information Processing Systems, 4610-4618, 2016 | 19 | 2016 |
| Geometric losses for distributional learning A Mensch, M Blondel, G Peyré Proceedings of the International Conference on Machine Learning, 2019 | 9 | 2019 |
| Extracting universal representations of cognition across brain-imaging studies A Mensch, J Mairal, B Thirion, G Varoquaux arXiv preprint arXiv:1809.06035, 2018 | 6 | 2018 |
| 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 | 5 | 2020 |
| Online Sinkhorn: Optimal Transport distances from sample streams A Mensch, G Peyré Advances in Neural Information Processing Systems, 2020 | 2* | 2020 |
| Fine-grain atlases of functional modes for fMRI analysis K Dadi, G Varoquaux, A Machlouzarides-Shalit, KJ Gorgolewski, ... NeuroImage 221, 117126, 2020 | 2 | 2020 |
| Subsampled online matrix factorization with convergence guarantees A Mensch, J Mairal, G Varoquaux, B Thirion OPT workshop @ NeurIPS, 2016 | 2 | 2016 |
| Extragradient with player sampling for faster Nash equilibrium finding S Jelassi, C Domingo-Enrich, D Scieur, A Mensch, J Bruna Proceedings of the International Conference on Machine Learning, 2020 | 1* | 2020 |
| Differentiable Divergences Between Time Series M Blondel, A Mensch, JP Vert arXiv preprint arXiv:2010.08354, 2020 | | 2020 |
| Predictive usefulness of PCR testing in different patterns of Covid-19 symptomatology C Apra, C Caucheteux, A Mensch, J Mansour, M Bernaux, E Debuc, ... medRxiv, 2020 | | 2020 |
| Covidom, a Telesurveillance Solution for Home Monitoring Patients With COVID-19 Y Yordanov, A Dechartres, X Lescure, C Apra, P Villie, J Marchand-Arvier, ... Journal of medical Internet research 22 (10), e20748, 2020 | | 2020 |
| What’s in a functional brain parcellation? G Varoquaux, K Dadi, A Mensch Real Neurons and Hidden Units Workshop @ NeurIPS, 2019 | | 2019 |
| Learning representations from functional MRI data A Mensch Université Paris-Saclay, 2018 | | 2018 |
| Subsampling Enables Fast Factorisation of Huge Matrices into Sparse Signals A Mensch, J Mairal, B Thirion, G Varoquaux ERCIM News, 47, 2017 | | 2017 |
Gaël VaroquauxResearch director, INRIAAdresse e-mail validée de normalesup.org
