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Rodolphe JENATTON
Rodolphe JENATTON
CTO at Bioptimus
Verificeret mail på bioptimus.com - Startside
Titel
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Citeret af
År
Optimization with sparsity-inducing penalties
F Bach, R Jenatton, J Mairal, G Obozinski
Foundations and Trends® in Machine Learning 4 (1), 1-106, 2012
13532012
Structured variable selection with sparsity-inducing norms
R Jenatton, JY Audibert, F Bach
Journal of Machine Learning Research 12, 2777-2824, 2011
6862011
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
5242021
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
4832023
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
4212012
Proximal methods for hierarchical sparse coding
R Jenatton, J Mairal, G Obozinski, F Bach
Journal of Machine Learning Research, 2297-2334, 2011
4092011
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
4012010
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
1592022
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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Artikler 1–20