Alhussein Fawzi

51 papers A* 8A 3B 1Misc 3Journal 31Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Automated near-term quantum algorithm discovery for molecular ground states. CoRR Fabian Finger, Frederic Rapp, Pranav Kalidindi, Kerry He, Kante Yin, Alexander Koziell-Pipe, David Zsolt Manrique, Gabriel Greene-Diniz, Stephen Clark, Hamza Fawzi, Bernardino Romera-Paredes, Alhussein Fawzi, Konstantinos Meichanetzidis
2025	J	`jnl`	Quantum circuit optimization with AlphaTensor. Nat. Mac. Intell. 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
2024	J	`jnl`	Mathematical discoveries from program search with large language models. Nat. 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
2024	J	`jnl`	Quantum Circuit Optimization with AlphaTensor. CoRR 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
2022	J	`jnl`	Discovering faster matrix multiplication algorithms with reinforcement learning. Nat. 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
2019	A*	`conf`	Adversarial Robustness through Local Linearization. NeurIPS Chongli Qin, James Martens, Sven Gowal, Dilip Krishnan, Krishnamurthy Dvijotham, Alhussein Fawzi, Soham De, Robert Stanforth, Pushmeet Kohli
2019	J	`jnl`	Adversarial Robustness through Local Linearization. CoRR Chongli Qin, James Martens, Sven Gowal, Dilip Krishnan, Krishnamurthy Dvijotham, Alhussein Fawzi, Soham De, Robert Stanforth, Pushmeet Kohli
2019	A*	`conf`	Are Labels Required for Improving Adversarial Robustness? NeurIPS Jean-Baptiste Alayrac, Jonathan Uesato, Po-Sen Huang, Alhussein Fawzi, Robert Stanforth, Pushmeet Kohli
2019	J	`jnl`	Are Labels Required for Improving Adversarial Robustness? CoRR Jonathan Uesato, Jean-Baptiste Alayrac, Po-Sen Huang, Robert Stanforth, Alhussein Fawzi, Pushmeet Kohli
2019	A*	`conf`	Learning dynamic polynomial proofs. NeurIPS Alhussein Fawzi, Mateusz Malinowski, Hamza Fawzi, Omar Fawzi
2019	J	`jnl`	Learning dynamic polynomial proofs. CoRR Alhussein Fawzi, Mateusz Malinowski, Hamza Fawzi, Omar Fawzi
2019	A*	`conf`	Robustness via Curvature Regularization, and Vice Versa. CVPR Seyed-Mohsen Moosavi-Dezfooli, Alhussein Fawzi, Jonathan Uesato, Pascal Frossard
2018	A*	`conf`	Adversarial vulnerability for any classifier. NeurIPS Alhussein Fawzi, Hamza Fawzi, Omar Fawzi
2018	J	`jnl`	Adversarial vulnerability for any classifier. CoRR Alhussein Fawzi, Hamza Fawzi, Omar Fawzi
2018	J	`jnl`	Analysis of classifiers' robustness to adversarial perturbations. Mach. Learn. Alhussein Fawzi, Omar Fawzi, Pascal Frossard
2018	A*	`conf`	Empirical Study of the Topology and Geometry of Deep Networks. CVPR Alhussein Fawzi, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard, Stefano Soatto
2018	—	`conf`	Robustness of Classifiers to Universal Perturbations: A Geometric Perspective. ICLR (Poster) Seyed-Mohsen Moosavi-Dezfooli, Alhussein Fawzi, Omar Fawzi, Pascal Frossard, Stefano Soatto
2018	A	`conf`	Robustness of classifiers to uniform $\ell_p$ and Gaussian noise. AISTATS Jean-Yves Franceschi, Alhussein Fawzi, Omar Fawzi
2018	J	`jnl`	Robustness of classifiers to uniform 𝓁 CoRR Jean-Yves Franceschi, Alhussein Fawzi, Omar Fawzi
2018	J	`jnl`	Robustness via curvature regularization, and vice versa. CoRR Seyed-Mohsen Moosavi-Dezfooli, Alhussein Fawzi, Jonathan Uesato, Pascal Frossard
2018	—	`conf`	SaaS: Speed as a Supervisor for Semi-supervised Learning. ECCV (2) Safa Cicek, Alhussein Fawzi, Stefano Soatto
2018	J	`jnl`	SaaS: Speed as a Supervisor for Semi-supervised Learning. CoRR Safa Cicek, Alhussein Fawzi, Stefano Soatto
2018	J	`jnl`	Verification of deep probabilistic models. CoRR Krishnamurthy Dvijotham, Marta Garnelo, Alhussein Fawzi, Pushmeet Kohli
2017	J	`jnl`	Analysis of universal adversarial perturbations. CoRR Seyed-Mohsen Moosavi-Dezfooli, Alhussein Fawzi, Omar Fawzi, Pascal Frossard, Stefano Soatto
2017	J	`jnl`	Classification regions of deep neural networks. CoRR Alhussein Fawzi, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard, Stefano Soatto
2017	J	`jnl`	Multitask Additive Models With Shared Transfer Functions Based on Dictionary Learning. IEEE Trans. Signal Process. Alhussein Fawzi, Mathieu Sinn, Pascal Frossard
2017	J	`jnl`	The Robustness of Deep Networks: A Geometrical Perspective. IEEE Signal Process. Mag. Alhussein Fawzi, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard
2017	A*	`conf`	Universal Adversarial Perturbations. CVPR Seyed-Mohsen Moosavi-Dezfooli, Alhussein Fawzi, Omar Fawzi, Pascal Frossard
2016	B	`conf`	Adaptive data augmentation for image classification. ICIP Alhussein Fawzi, Horst Samulowitz, Deepak S. Turaga, Pascal Frossard
2016	A*	`conf`	DeepFool: A Simple and Accurate Method to Fool Deep Neural Networks. CVPR Seyed-Mohsen Moosavi-Dezfooli, Alhussein Fawzi, Pascal Frossard
2016	—	`conf`	Image inpainting through neural networks hallucinations. IVMSP Alhussein Fawzi, Horst Samulowitz, Deepak S. Turaga, Pascal Frossard
2016	A	`conf`	Measuring the effect of nuisance variables on classifiers. BMVC Alhussein Fawzi, Pascal Frossard
2016	—	`—`	Robust image classification: analysis and applications. Alhussein Fawzi
2016	—	`conf`	Robustness of classifiers: from adversarial to random noise. NIPS Alhussein Fawzi, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard
2016	J	`jnl`	Robustness of classifiers: from adversarial to random noise. CoRR Alhussein Fawzi, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard
2016	J	`jnl`	Structured Dimensionality Reduction for Additive Model Regression. IEEE Trans. Knowl. Data Eng. Alhussein Fawzi, Jean-Baptiste Fiot, Bei Chen, Mathieu Sinn, Pascal Frossard
2016	J	`jnl`	Universal adversarial perturbations. CoRR Seyed-Mohsen Moosavi-Dezfooli, Alhussein Fawzi, Omar Fawzi, Pascal Frossard
2015	J	`jnl`	Analysis of classifiers' robustness to adversarial perturbations. CoRR Alhussein Fawzi, Omar Fawzi, Pascal Frossard
2015	J	`jnl`	DeepFool: a simple and accurate method to fool deep neural networks. CoRR Seyed-Mohsen Moosavi-Dezfooli, Alhussein Fawzi, Pascal Frossard
2015	J	`jnl`	Dictionary Learning for Fast Classification Based on Soft-thresholding. Int. J. Comput. Vis. Alhussein Fawzi, Mike E. Davies, Pascal Frossard
2015	A	`conf`	Manitest: Are classifiers really invariant? BMVC Alhussein Fawzi, Pascal Frossard
2015	J	`jnl`	Manitest: Are classifiers really invariant? CoRR Alhussein Fawzi, Pascal Frossard
2015	J	`jnl`	Multi-task additive models with shared transfer functions based on dictionary learning. CoRR Alhussein Fawzi, Mathieu Sinn, Pascal Frossard
2014	J	`jnl`	Dictionary learning for fast classification based on soft-thresholding. CoRR Alhussein Fawzi, Mike E. Davies, Pascal Frossard
2014	J	`jnl`	Proceedings of the second "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'14). CoRR 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
2013	Misc	`conf`	A geometric framework for registration of sparse images. ICASSP Alhussein Fawzi, Pascal Frossard
2013	Misc	`conf`	Classification of unions of subspaces with sparse representations. ACSSC Alhussein Fawzi, Pascal Frossard
2013	J	`jnl`	Image Registration with Sparse Approximations in Parametric Dictionaries. SIAM J. Imaging Sci. Alhussein Fawzi, Pascal Frossard
2013	J	`jnl`	Image registration with sparse approximations in parametric dictionaries CoRR Alhussein Fawzi, Pascal Frossard
2012	Misc	`conf`	Thresholding-based reconstruction of compressed correlated signals. ICASSP Alhussein Fawzi, Tamara Tosic, Pascal Frossard
2011	J	`jnl`	Thresholding-based reconstruction of compressed correlated signals CoRR Alhussein Fawzi, Tamara Tosic, Pascal Frossard