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Alhussein Fawzi
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2020 – today
- 2024
- [j8]Bernardino Romera-Paredes, Mohammadamin Barekatain, Alexander Novikov, Matej Balog, M. Pawan Kumar, Emilien Dupont, Francisco J. R. Ruiz, Jordan S. Ellenberg, Pengming Wang, Omar Fawzi, Pushmeet Kohli, Alhussein Fawzi:
Mathematical discoveries from program search with large language models. Nat. 625(7995): 468-475 (2024) - [i21]Francisco J. R. Ruiz, Tuomas Laakkonen, Johannes Bausch, Matej Balog, Mohammadamin Barekatain, Francisco J. H. Heras, Alexander Novikov, Nathan Fitzpatrick, Bernardino Romera-Paredes, John van de Wetering, Alhussein Fawzi, Konstantinos Meichanetzidis, Pushmeet Kohli:
Quantum Circuit Optimization with AlphaTensor. CoRR abs/2402.14396 (2024) - 2022
- [j7]Alhussein Fawzi, Matej Balog, Aja Huang, Thomas Hubert, Bernardino Romera-Paredes, Mohammadamin Barekatain, Alexander Novikov, Francisco J. R. Ruiz, Julian Schrittwieser, Grzegorz Swirszcz, David Silver, Demis Hassabis, Pushmeet Kohli:
Discovering faster matrix multiplication algorithms with reinforcement learning. Nat. 610(7930): 47-53 (2022)
2010 – 2019
- 2019
- [c19]Seyed-Mohsen Moosavi-Dezfooli, Alhussein Fawzi, Jonathan Uesato, Pascal Frossard:
Robustness via Curvature Regularization, and Vice Versa. CVPR 2019: 9078-9086 - [c18]Alhussein Fawzi, Mateusz Malinowski, Hamza Fawzi, Omar Fawzi:
Learning dynamic polynomial proofs. NeurIPS 2019: 4181-4190 - [c17]Jean-Baptiste Alayrac, Jonathan Uesato, Po-Sen Huang, Alhussein Fawzi, Robert Stanforth, Pushmeet Kohli:
Are Labels Required for Improving Adversarial Robustness? NeurIPS 2019: 12192-12202 - [c16]Chongli Qin, James Martens, Sven Gowal, Dilip Krishnan, Krishnamurthy Dvijotham, Alhussein Fawzi, Soham De, Robert Stanforth, Pushmeet Kohli:
Adversarial Robustness through Local Linearization. NeurIPS 2019: 13824-13833 - [i20]Jonathan Uesato, Jean-Baptiste Alayrac, Po-Sen Huang, Robert Stanforth, Alhussein Fawzi, Pushmeet Kohli:
Are Labels Required for Improving Adversarial Robustness? CoRR abs/1905.13725 (2019) - [i19]Alhussein Fawzi, Mateusz Malinowski, Hamza Fawzi, Omar Fawzi:
Learning dynamic polynomial proofs. CoRR abs/1906.01681 (2019) - [i18]Chongli Qin, James Martens, Sven Gowal, Dilip Krishnan, Krishnamurthy Dvijotham, Alhussein Fawzi, Soham De, Robert Stanforth, Pushmeet Kohli:
Adversarial Robustness through Local Linearization. CoRR abs/1907.02610 (2019) - 2018
- [j6]Alhussein Fawzi, Omar Fawzi, Pascal Frossard:
Analysis of classifiers' robustness to adversarial perturbations. Mach. Learn. 107(3): 481-508 (2018) - [c15]Jean-Yves Franceschi, Alhussein Fawzi, Omar Fawzi:
Robustness of classifiers to uniform $\ell_p$ and Gaussian noise. AISTATS 2018: 1280-1288 - [c14]Alhussein Fawzi, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard, Stefano Soatto:
Empirical Study of the Topology and Geometry of Deep Networks. CVPR 2018: 3762-3770 - [c13]Safa Cicek, Alhussein Fawzi, Stefano Soatto:
SaaS: Speed as a Supervisor for Semi-supervised Learning. ECCV (2) 2018: 152-166 - [c12]Seyed-Mohsen Moosavi-Dezfooli, Alhussein Fawzi, Omar Fawzi, Pascal Frossard, Stefano Soatto:
Robustness of Classifiers to Universal Perturbations: A Geometric Perspective. ICLR (Poster) 2018 - [c11]Alhussein Fawzi, Hamza Fawzi, Omar Fawzi:
Adversarial vulnerability for any classifier. NeurIPS 2018: 1186-1195 - [i17]Jean-Yves Franceschi, Alhussein Fawzi, Omar Fawzi:
Robustness of classifiers to uniform 𝓁p and Gaussian noise. CoRR abs/1802.07971 (2018) - [i16]Alhussein Fawzi, Hamza Fawzi, Omar Fawzi:
Adversarial vulnerability for any classifier. CoRR abs/1802.08686 (2018) - [i15]Safa Cicek, Alhussein Fawzi, Stefano Soatto:
SaaS: Speed as a Supervisor for Semi-supervised Learning. CoRR abs/1805.00980 (2018) - [i14]Seyed-Mohsen Moosavi-Dezfooli, Alhussein Fawzi, Jonathan Uesato, Pascal Frossard:
Robustness via curvature regularization, and vice versa. CoRR abs/1811.09716 (2018) - [i13]Krishnamurthy Dvijotham, Marta Garnelo, Alhussein Fawzi, Pushmeet Kohli:
Verification of deep probabilistic models. CoRR abs/1812.02795 (2018) - 2017
- [j5]Alhussein Fawzi, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard:
The Robustness of Deep Networks: A Geometrical Perspective. IEEE Signal Process. Mag. 34(6): 50-62 (2017) - [j4]Alhussein Fawzi, Mathieu Sinn, Pascal Frossard:
Multitask Additive Models With Shared Transfer Functions Based on Dictionary Learning. IEEE Trans. Signal Process. 65(5): 1352-1365 (2017) - [c10]Seyed-Mohsen Moosavi-Dezfooli, Alhussein Fawzi, Omar Fawzi, Pascal Frossard:
Universal Adversarial Perturbations. CVPR 2017: 86-94 - [i12]Alhussein Fawzi, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard, Stefano Soatto:
Classification regions of deep neural networks. CoRR abs/1705.09552 (2017) - [i11]Seyed-Mohsen Moosavi-Dezfooli, Alhussein Fawzi, Omar Fawzi, Pascal Frossard, Stefano Soatto:
Analysis of universal adversarial perturbations. CoRR abs/1705.09554 (2017) - 2016
- [j3]Alhussein Fawzi, Jean-Baptiste Fiot, Bei Chen, Mathieu Sinn, Pascal Frossard:
Structured Dimensionality Reduction for Additive Model Regression. IEEE Trans. Knowl. Data Eng. 28(6): 1589-1601 (2016) - [c9]Alhussein Fawzi, Pascal Frossard:
Measuring the effect of nuisance variables on classifiers. BMVC 2016 - [c8]Seyed-Mohsen Moosavi-Dezfooli, Alhussein Fawzi, Pascal Frossard:
DeepFool: A Simple and Accurate Method to Fool Deep Neural Networks. CVPR 2016: 2574-2582 - [c7]Alhussein Fawzi, Horst Samulowitz, Deepak S. Turaga, Pascal Frossard:
Adaptive data augmentation for image classification. ICIP 2016: 3688-3692 - [c6]Alhussein Fawzi, Horst Samulowitz, Deepak S. Turaga, Pascal Frossard:
Image inpainting through neural networks hallucinations. IVMSP 2016: 1-5 - [c5]Alhussein Fawzi, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard:
Robustness of classifiers: from adversarial to random noise. NIPS 2016: 1624-1632 - [i10]Alhussein Fawzi, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard:
Robustness of classifiers: from adversarial to random noise. CoRR abs/1608.08967 (2016) - [i9]Seyed-Mohsen Moosavi-Dezfooli, Alhussein Fawzi, Omar Fawzi, Pascal Frossard:
Universal adversarial perturbations. CoRR abs/1610.08401 (2016) - 2015
- [j2]Alhussein Fawzi, Mike E. Davies, Pascal Frossard:
Dictionary Learning for Fast Classification Based on Soft-thresholding. Int. J. Comput. Vis. 114(2-3): 306-321 (2015) - [c4]Alhussein Fawzi, Pascal Frossard:
Manitest: Are classifiers really invariant? BMVC 2015: 106.1-106.13 - [i8]Alhussein Fawzi, Omar Fawzi, Pascal Frossard:
Analysis of classifiers' robustness to adversarial perturbations. CoRR abs/1502.02590 (2015) - [i7]Alhussein Fawzi, Mathieu Sinn, Pascal Frossard:
Multi-task additive models with shared transfer functions based on dictionary learning. CoRR abs/1505.04966 (2015) - [i6]Alhussein Fawzi, Pascal Frossard:
Manitest: Are classifiers really invariant? CoRR abs/1507.06535 (2015) - [i5]Seyed-Mohsen Moosavi-Dezfooli, Alhussein Fawzi, Pascal Frossard:
DeepFool: a simple and accurate method to fool deep neural networks. CoRR abs/1511.04599 (2015) - 2014
- [i4]Alhussein Fawzi, Mike E. Davies, Pascal Frossard:
Dictionary learning for fast classification based on soft-thresholding. CoRR abs/1402.1973 (2014) - [i3]Laurent Jacques, Christophe De Vleeschouwer, Yannick Boursier, Prasad Sudhakar, C. De Mol, Aleksandra Pizurica, Sandrine Anthoine, Pierre Vandergheynst, Pascal Frossard, Cagdas Bilen, Srdan Kitic, Nancy Bertin, Rémi Gribonval, Nicolas Boumal, Bamdev Mishra, Pierre-Antoine Absil, Rodolphe Sepulchre, Shaun Bundervoet, Colas Schretter, Ann Dooms, Peter Schelkens, Olivier Chabiron, François Malgouyres, Jean-Yves Tourneret, Nicolas Dobigeon, Pierre Chainais, Cédric Richard, Bruno Cornelis, Ingrid Daubechies, David B. Dunson, Marie Danková, Pavel Rajmic, Kévin Degraux, Valerio Cambareri, Bert Geelen, Gauthier Lafruit, Gianluca Setti, Jean-François Determe, Jérôme Louveaux, François Horlin, Angélique Drémeau, Patrick Héas, Cédric Herzet, Vincent Duval, Gabriel Peyré, Alhussein Fawzi, Mike E. Davies, Nicolas Gillis, Stephen A. Vavasis, Charles Soussen, Luc Le Magoarou, Jingwei Liang, Jalal Fadili, Antoine Liutkus, David Martina, Sylvain Gigan, Laurent Daudet, Mauro Maggioni, Stanislav Minsker, Nate Strawn, C. Mory, Fred Maurice Ngolè Mboula, Jean-Luc Starck, Ignace Loris, Samuel Vaiter, Mohammad Golbabaee, Dejan Vukobratovic:
Proceedings of the second "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'14). CoRR abs/1410.0719 (2014) - 2013
- [j1]Alhussein Fawzi, Pascal Frossard:
Image Registration with Sparse Approximations in Parametric Dictionaries. SIAM J. Imaging Sci. 6(4): 2370-2403 (2013) - [c3]Alhussein Fawzi, Pascal Frossard:
Classification of unions of subspaces with sparse representations. ACSSC 2013: 1368-1372 - [c2]Alhussein Fawzi, Pascal Frossard:
A geometric framework for registration of sparse images. ICASSP 2013: 1976-1980 - [i2]Alhussein Fawzi, Pascal Frossard:
Image registration with sparse approximations in parametric dictionaries. CoRR abs/1301.6646 (2013) - 2012
- [c1]Alhussein Fawzi, Tamara Tosic, Pascal Frossard:
Thresholding-based reconstruction of compressed correlated signals. ICASSP 2012: 2725-2728 - 2011
- [i1]Alhussein Fawzi, Tamara Tosic, Pascal Frossard:
Thresholding-based reconstruction of compressed correlated signals. CoRR abs/1109.5938 (2011)
Coauthor Index
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last updated on 2024-09-22 00:37 CEST by the dblp team
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