| Implicit differentiation of lasso-type models for hyperparameter optimization Q Bertrand, Q Klopfenstein, M Blondel, S Vaiter, A Gramfort, J Salmon International Conference on Machine Learning, 810-821, 2020 | 45 | 2020 |
| Cyclic nucleotide-induced helical structure activates a TIR immune effector G Hogrel, A Guild, S Graham, H Rickman, S Grüschow, Q Bertrand, ... Nature 608 (7924), 808-812, 2022 | 20 | 2022 |
| Handling correlated and repeated measurements with the smoothed multivariate square-root Lasso Q Bertrand, M Massias, A Gramfort, J Salmon Advances in Neural Information Processing Systems 32, 2019 | 16 | 2019 |
| Implicit differentiation for fast hyperparameter selection in non-smooth convex learning Q Bertrand, Q Klopfenstein, M Massias, M Blondel, S Vaiter, A Gramfort, ... Journal of Machine Learning Research 23 (149), 1-43, 2022 | 13 | 2022 |
| Anderson acceleration of coordinate descent Q Bertrand, M Massias International Conference on Artificial Intelligence and Statistics, 1288-1296, 2021 | 8 | 2021 |
| Support recovery and sup-norm convergence rates for sparse pivotal estimation M Massias, Q Bertrand, A Gramfort, J Salmon International Conference on Artificial Intelligence and Statistics, 2655-2665, 2020 | 6* | 2020 |
| Model identification and local linear convergence of coordinate descent Q Klopfenstein, Q Bertrand, A Gramfort, J Salmon, S Vaiter Optimization Letters, 2023 | 5 | 2023 |
| Dimension improvement in Dhar's refutation of the Eden conjecture Q Bertrand, J Pertinand Physics Letters A 382 (11), 761-765, 2018 | 4 | 2018 |
| Beyond L1: Faster and Better Sparse Models with skglm Q Bertrand, Q Klopfenstein, PA Bannier, G Gidel, M Massias Advances in Neural Information Processing Systems, 2022 | 3 | 2022 |
| Hyperparameter selection for high dimensional sparse learning: application to neuroimaging Q Bertrand Université Paris-Saclay, 2021 | 1 | 2021 |
| Anytime Exact Belief Propagation G Azevedo Ferreira, Q Bertrand, C Maussion, R de Salvo Braz AAAI-17 Workshop on Symbolic Inference and Optimization (SymInfOpt-17), 2017 | 1* | 2017 |
| Identifying bacteriorhodopsin light-induced artefacts in time-resolved crystallography Q Bertrand, T Weinert, J Standfuss Acta Crystallographica Section A: Foundations of Crystallography 78, a413-a413, 2023 | | 2023 |
| On the Limitations of Elo: Real-World Games, are Transitive, not Additive Q Bertrand, WM Czarnecki, G Gidel AISTATS 2023, 2023 | | 2023 |
| Local linear convergence of proximal coordinate descent algorithm Q Klopfenstein, Q Bertrand, A Gramfort, J Salmon, S Vaiter Optimization Letters, 1-20, 2023 | | 2023 |
| A multi-reservoir extruder for time-resolved serial protein crystallography and compound screening at X-ray free-electron lasers M Wranik, M Kepa, E Beale, D James, Q Bertrand, T Weinert, A Furrer, ... | | 2023 |
| Author Correction: Cyclic nucleotide-induced helical structure activates a TIR immune effector G Hogrel, A Guild, S Graham, H Rickman, S Grüschow, Q Bertrand, ... Nature, 1-1, 2023 | | 2023 |
| Cyclic nucleotide-induced helical structure activates a TIR immune effector (Vol 608, pg 808, 2022) G Hogrel, A Guild, S Graham, H Rickman, S Gruschow, Q Bertrand, ... NATURE, 2023 | | 2023 |
| Synergies Between Disentanglement and Sparsity: a Multi-Task Learning Perspective S Lachapelle, T Deleu, D Mahajan, I Mitliagkas, Y Bengio, ... arXiv preprint arXiv:2211.14666, 2022 | | 2022 |
| The Curse of Unrolling: Rate of Differentiating Through Optimization D Scieur, Q Bertrand, G Gidel, F Pedregosa Advances in Neural Information Processing Systems, 2022 | | 2022 |
| Implicit differentiation for fast hyperparameter selection in non-smooth convex learning Q Bertrand, Q Klopfenstein, M Massias, M Blondel, S Vaiter, A Gramfort, ... Journal of Machine Learning Research 23 (149), 1-43, 2022 | | 2022 |
