Alhussein Fawzi

Konstantinos Meichanetzidis

Pushmeet Kohli

CoRR, 2024

2022

Discovering faster matrix multiplication algorithms with reinforcement learning.

[BibT_eX]

[DOI]

Bernardino Romera-Paredes

Mohammadamin Barekatain

Nat., 2022

2019

Adversarial Robustness through Local Linearization.

[BibT_eX]

[DOI]

Krishnamurthy Dvijotham

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Learning dynamic polynomial proofs.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Are Labels Required for Improving Adversarial Robustness?

[BibT_eX]

[DOI]

Jean-Baptiste Alayrac

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Robustness via Curvature Regularization, and Vice Versa.

[BibT_eX]

[DOI]

Jonathan Uesato

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Analysis of classifiers' robustness to adversarial perturbations.

[BibT_eX]

[DOI]

Mach. Learn., 2018

Verification of deep probabilistic models.

[BibT_eX]

[DOI]

Krishnamurthy Dvijotham

Marta Garnelo

Pushmeet Kohli

CoRR, 2018

Robustness of classifiers to uniform 𝓁<sub>p</sub> and Gaussian noise.

[BibT_eX]

[DOI]

Jean-Yves Franceschi

CoRR, 2018

Adversarial vulnerability for any classifier.

[BibT_eX]

[DOI]

Hamza Fawzi

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Robustness of Classifiers to Universal Perturbations: A Geometric Perspective.

[BibT_eX]

[DOI]

Proceedings of the 6th International Conference on Learning Representations, 2018

SaaS: Speed as a Supervisor for Semi-supervised Learning.

[BibT_eX]

[DOI]

Safa Cicek

Stefano Soatto

Proceedings of the Computer Vision - ECCV 2018, 2018

Empirical Study of the Topology and Geometry of Deep Networks.

[BibT_eX]

[DOI]

Stefano Soatto

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Robustness of classifiers to uniform $\ell_p$ and Gaussian noise.

[BibT_eX]

[DOI]

Jean-Yves Franceschi

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017

Multitask Additive Models With Shared Transfer Functions Based on Dictionary Learning.

[BibT_eX]

[DOI]

Mathieu Sinn

IEEE Trans. Signal Process., 2017

The Robustness of Deep Networks: A Geometrical Perspective.

[BibT_eX]

[DOI]

IEEE Signal Process. Mag., 2017

Analysis of universal adversarial perturbations.

[BibT_eX]

[DOI]

CoRR, 2017

Classification regions of deep neural networks.

[BibT_eX]

[DOI]

Stefano Soatto

CoRR, 2017

Universal Adversarial Perturbations.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Structured Dimensionality Reduction for Additive Model Regression.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2016

Robustness of classifiers: from adversarial to random noise.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Image inpainting through neural networks hallucinations.

[BibT_eX]

[DOI]

Proceedings of the IEEE 12th Image, Video, and Multidimensional Signal Processing Workshop, 2016

Adaptive data augmentation for image classification.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

DeepFool: A Simple and Accurate Method to Fool Deep Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Measuring the effect of nuisance variables on classifiers.

[BibT_eX]

[DOI]

Proceedings of the British Machine Vision Conference 2016, 2016

2015

Dictionary Learning for Fast Classification Based on Soft-thresholding.

[BibT_eX]

[DOI]

Mike E. Davies

Int. J. Comput. Vis., 2015

Multi-task additive models with shared transfer functions based on dictionary learning.

[BibT_eX]

[DOI]

Mathieu Sinn

CoRR, 2015

Manitest: Are classifiers really invariant?

[BibT_eX]

[DOI]

Christophe De Vleeschouwer

Proceedings of the British Machine Vision Conference 2015, 2015

2014

Proceedings of the second "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'14).

[BibT_eX]

[DOI]

Laurent Jacques

Jean-François Determe

Fred Maurice Ngolè Mboula

CoRR, 2014

2013

Image Registration with Sparse Approximations in Parametric Dictionaries.

[BibT_eX]

[DOI]

SIAM J. Imaging Sci., 2013

A geometric framework for registration of sparse images.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2013

Classification of unions of subspaces with sparse representations.

[BibT_eX]

[DOI]

Proceedings of the 2013 Asilomar Conference on Signals, 2013

2012

Thresholding-based reconstruction of compressed correlated signals.

[BibT_eX]

[DOI]

Tamara Tosic