Nicolas Flammarion

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Citations	3094	3023
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Maksym AndriushchenkoPhD student at EPFLVerified email at epfl.ch
Francis BachInria - Ecole Normale SupérieureVerified email at inria.fr
Peter BartlettProfessor, EECS and Statistics, UC BerkeleyVerified email at cs.berkeley.edu
Matthias HeinProfessor of Computer Science, University of TübingenVerified email at uni-tuebingen.de
Francesco CroceEPFLVerified email at cs.uni-saarland.de
Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyVerified email at cs.berkeley.edu
Loucas Pillaud-VivienCourant Institute of Mathematics, NYU / Flatiron Institute, New YorkVerified email at flatironinstitute.org
Yi-An MaUC San DiegoVerified email at ucsd.edu
Scott PesmePhD at EPFLVerified email at epfl.ch
Aditya VarrePhD student, EPFLVerified email at epfl.ch
Niladri S. ChatterjiPostdoctoral Researcher, Department of Computer Science, Stanford UniversityVerified email at cs.stanford.edu
Aymeric DieuleveutAssistant Professor, Ecole Polytechnique, FranceVerified email at polytechnique.edu
Etienne BoursierINRIA SaclayVerified email at inria.fr
Yeshwanth CherapanamjeriPh.D Student, UC BerkeleyVerified email at berkeley.edu
Mathieu EvenEcole Normale Supérieure, InriaVerified email at ens.fr
Yuansi ChenDepartment of Statistical Science, Duke UniversityVerified email at duke.edu
Chi JinAssistant Professor, Princeton UniversityVerified email at princeton.edu
Xiang ChengUC BerkeleyVerified email at berkeley.edu
Adrien TaylorInria - ENS ParisVerified email at inria.fr
Maryam FazelProfessor of Electrical and Computer Engineering, University of WashingtonVerified email at uw.edu

Nicolas Flammarion

EPFL

Verified email at epfl.ch - Homepage

Machine Learning Optimization Statistics


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Square attack: a query-efficient black-box adversarial attack via random search M Andriushchenko, F Croce, N Flammarion, M Hein ECCV, 2020	729	2020
Robustbench: a standardized adversarial robustness benchmark F Croce, M Andriushchenko, V Sehwag, E Debenedetti, N Flammarion, ... arXiv preprint arXiv:2010.09670, 2020	436	2020
Understanding and Improving Fast Adversarial Training M Andriushchenko, N Flammarion Advances in Neural Information Processing Systems, 2020	231	2020
Sampling can be faster than optimization YA Ma, Y Chen, C Jin, N Flammarion, MI Jordan Proceedings of the National Academy of Sciences 116 (42), 20881-20885, 2019	175	2019
Harder, better, faster, stronger convergence rates for least-squares regression A Dieuleveut, N Flammarion, F Bach The Journal of Machine Learning Research 18 (1), 3520-3570, 2017	156	2017
From averaging to acceleration, there is only a step-size N Flammarion, F Bach Conference on Learning Theory, 658-695, 2015	143	2015
Is there an analog of Nesterov acceleration for gradient-based MCMC? YA Ma, NS Chatterji, X Cheng, N Flammarion, PL Bartlett, MI Jordan	126	2021
Averaging stochastic gradient descent on Riemannian manifolds N Tripuraneni, N Flammarion, F Bach, MI Jordan Conference On Learning Theory, 2018	104	2018
On the theory of variance reduction for stochastic gradient Monte Carlo NS Chatterji, N Flammarion, YA Ma, PL Bartlett, MI Jordan International Conference on Machine Learning, 764--773, 2018	93	2018
On the effectiveness of adversarial training against common corruptions K Kireev, M Andriushchenko, N Flammarion Uncertainty in Artificial Intelligence, 1012-1021, 2022	80	2022
Fast mean estimation with sub-Gaussian rates Y Cherapanamjeri, N Flammarion, PL Bartlett Conference on Learning Theory, 786--806, 2019	75	2019
Escaping from saddle points on Riemannian manifolds Y Sun, N Flammarion, M Fazel Advances in Neural Information Processing Systems, 7276-7286, 2019	72	2019
Towards understanding sharpness-aware minimization M Andriushchenko, N Flammarion International Conference on Machine Learning, 639-668, 2022	70	2022
Optimal rates of statistical seriation N Flammarion, C Mao, P Rigollet	69	2019
Sparse-rs: a versatile framework for query-efficient sparse black-box adversarial attacks F Croce, M Andriushchenko, ND Singh, N Flammarion, M Hein Proceedings of the AAAI Conference on Artificial Intelligence 36 (6), 6437-6445, 2022	63	2022
Implicit bias of sgd for diagonal linear networks: a provable benefit of stochasticity S Pesme, L Pillaud-Vivien, N Flammarion Advances in Neural Information Processing Systems 34, 29218-29230, 2021	60	2021
Improved bounds for discretization of Langevin diffusions: Near-optimal rates without convexity W Mou, N Flammarion, MJ Wainwright, PL Bartlett Bernoulli 28 (3), 1577-1601, 2022	52	2022
Optimal robust linear regression in nearly linear time Y Cherapanamjeri, E Aras, N Tripuraneni, MI Jordan, N Flammarion, ... arXiv preprint arXiv:2007.08137, 2020	38	2020
Gradient flow dynamics of shallow relu networks for square loss and orthogonal inputs E Boursier, L Pillaud-Vivien, N Flammarion Advances in Neural Information Processing Systems 35, 20105-20118, 2022	29	2022
Online Robust Regression via SGD on the l1 loss S Pesme, N Flammarion Advances in Neural Information Processing Systems, 2020	28	2020

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