עקוב אחר
Rodolphe JENATTON
Rodolphe JENATTON
CTO at Bioptimus
כתובת אימייל מאומתת בדומיין bioptimus.com - דף הבית
כותרת
צוטט על ידי
צוטט על ידי
שנה
Optimization with sparsity-inducing penalties‏
F Bach, R Jenatton, J Mairal, G Obozinski‏
Foundations and Trends® in Machine Learning 4 (1), 1-106, 2012‏
13542012
Structured variable selection with sparsity-inducing norms‏
R Jenatton, JY Audibert, F Bach‏
Journal of Machine Learning Research 12, 2777-2824, 2011‏
6872011
A latent factor model for highly multi-relational data‏
R Jenatton, N Roux, A Bordes, GR Obozinski‏
Advances in neural information processing systems 25, 2012‏
5362012
Scaling vision with sparse mixture of experts‏
C Riquelme, J Puigcerver, B Mustafa, M Neumann, R Jenatton, ...‏
Advances in Neural Information Processing Systems 34, 8583-8595, 2021‏
5292021
Scaling vision transformers to 22 billion parameters‏
M Dehghani, J Djolonga, B Mustafa, P Padlewski, J Heek, J Gilmer, ...‏
International Conference on Machine Learning, 7480-7512, 2023‏
4852023
Proximal methods for sparse hierarchical dictionary learning.‏
R Jenatton, J Mairal, G Obozinski, FR Bach‏
ICML 1, 2, 2010‏
4772010
Structured sparsity through convex optimization‏
F Bach, R Jenatton, J Mairal, G Obozinski‏
Statistical Science 27 (4), 450-468, 2012‏
4222012
Proximal methods for hierarchical sparse coding‏
R Jenatton, J Mairal, G Obozinski, F Bach‏
Journal of Machine Learning Research, 2297-2334, 2011‏
4102011
How good is the Bayes posterior in deep neural networks really?‏
F Wenzel, K Roth, BS Veeling, J Świątkowski, L Tran, S Mandt, J Snoek, ...‏
arXiv preprint arXiv:2002.02405, 2020‏
4022020
Structured sparse principal component analysis‏
R Jenatton, G Obozinski, F Bach‏
International Conference on Artificial Intelligence and Statistics (AISTATS), 2010‏
4022010
Convex optimization with sparsity-inducing norms‏
F Bach, R Jenatton, J Mairal, G Obozinski‏
3772011
Hyperparameter ensembles for robustness and uncertainty quantification‏
F Wenzel, J Snoek, D Tran, R Jenatton‏
Advances in Neural Information Processing Systems 33, 6514-6527, 2020‏
2492020
Training independent subnetworks for robust prediction‏
M Havasi, R Jenatton, S Fort, JZ Liu, J Snoek, B Lakshminarayanan, ...‏
arXiv preprint arXiv:2010.06610, 2020‏
2322020
Network flow algorithms for structured sparsity‏
J Mairal, R Jenatton, G Obozinski, F Bach‏
Advances in Neural Information Processing Systems (NIPS), 2010‏
2042010
Scalable hyperparameter transfer learning‏
V Perrone, R Jenatton, MW Seeger, C Archambeau‏
Advances in neural information processing systems 31, 2018‏
1822018
Adaptive algorithms for online convex optimization with long-term constraints‏
R Jenatton, J Huang, C Archambeau‏
International Conference on Machine Learning, 402-411, 2016‏
1692016
Multimodal contrastive learning with limoe: the language-image mixture of experts‏
B Mustafa, C Riquelme, J Puigcerver, R Jenatton, N Houlsby‏
Advances in Neural Information Processing Systems 35, 9564-9576, 2022‏
1602022
Convex relaxations for permutation problems‏
F Fogel, R Jenatton, F Bach, A d'Aspremont‏
Advances in neural information processing systems 26, 2013‏
1422013
On mixup regularization‏
L Carratino, M Cissé, R Jenatton, JP Vert‏
Journal of Machine Learning Research 23 (325), 1-31, 2022‏
1272022
Convex and Network Flow Optimization for Structured Sparsity.‏
J Mairal, R Jenatton, G Obozinski, F Bach‏
Journal of Machine Learning Research 12 (9), 2011‏
1272011
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מאמרים 1–20