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Mark Ibrahim
Mark Ibrahim
Fundamental AI Research, Meta AI
Verified email at fb.com - Homepage
Title
Cited by
Cited by
Year
Crypten: Secure multi-party computation meets machine learning
B Knott, S Venkataraman, A Hannun, S Sengupta, M Ibrahim, ...
Advances in Neural Information Processing Systems 34, 4961-4973, 2021
3022021
A cookbook of self-supervised learning
R Balestriero, M Ibrahim, V Sobal, A Morcos, S Shekhar, T Goldstein, ...
arXiv preprint arXiv:2304.12210, 2023
2032023
Global Explanations of Neural Networks
M Ibrahim, M Louie, C Modarres, J Paisley
AAAI AIES, 2019
130*2019
The United States COVID-19 forecast hub dataset
EY Cramer, Y Huang, Y Wang, EL Ray, M Cornell, J Bracher, A Brennen, ...
Scientific data 9 (1), 462, 2022
882022
Avi Schwarzschild, Andrew Gordon Wilson, Jonas Geiping, Quentin Garrido, Pierre Fernandez, Amir Bar, Hamed Pirsiavash, Yann LeCun, and Micah Goldblum
R Balestriero, M Ibrahim, V Sobal, A Morcos, S Shekhar, T Goldstein, ...
A cookbook of self-supervised learning 2, 2023
502023
A whac-a-mole dilemma: Shortcuts come in multiples where mitigating one amplifies others
Z Li, I Evtimov, A Gordo, C Hazirbas, T Hassner, CC Ferrer, C Xu, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
342023
Imagenet-x: Understanding model mistakes with factor of variation annotations
BY Idrissi, D Bouchacourt, R Balestriero, I Evtimov, C Hazirbas, N Ballas, ...
arXiv preprint arXiv:2211.01866, 2022
332022
Towards Explainable Deep Learning for Credit Lending: A Case Study
C Modarres, M Ibrahim, M Louie, J Paisley
NeurIPS FEAP 2018 Workshop, 2018
302018
Grounding inductive biases in natural images: invariance stems from variations in data
D Bouchacourt, M Ibrahim, A Morcos
Advances in Neural Information Processing Systems 34, 19566-19579, 2021
242021
Disentanglement of correlated factors via hausdorff factorized support
K Roth, M Ibrahim, Z Akata, P Vincent, D Bouchacourt
arXiv preprint arXiv:2210.07347, 2022
202022
Pug: Photorealistic and semantically controllable synthetic data for representation learning
F Bordes, S Shekhar, M Ibrahim, D Bouchacourt, P Vincent, A Morcos
Advances in Neural Information Processing Systems 36, 2024
162024
Battle of the backbones: A large-scale comparison of pretrained models across computer vision tasks
M Goldblum, H Souri, R Ni, M Shu, V Prabhu, G Somepalli, ...
Advances in Neural Information Processing Systems 36, 2024
142024
The robustness limits of sota vision models to natural variation
M Ibrahim, Q Garrido, A Morcos, D Bouchacourt
arXiv preprint arXiv:2210.13604, 2022
122022
Neural relational autoregression for high-resolution COVID-19 forecasting
M Le, M Ibrahim, L Sagun, T Lacroix, M Nickel
Facebook AI Research, 2020
122020
Addressing the topological defects of disentanglement via distributed operators
D Bouchacourt, M Ibrahim, S Deny
arXiv preprint arXiv:2102.05623, 2021
112021
CrypTen: a new research tool for secure machine learning with PyTorch
D Gunning, A Hannun, M Ibrahim, B Knott, L van der Maaten, V Reis, ...
Blog post available at https://ai. facebook. com/blog/crypten-a-new-research …, 2019
102019
A cookbook of self-supervised learning. arXiv 2023
R Balestriero, M Ibrahim, V Sobal, A Morcos, S Shekhar, T Goldstein, ...
arXiv preprint arXiv:2304.12210, 0
10
Connecting every bit of knowledge: The structure of Wikipedia's First Link Network
M Ibrahim, CM Danforth, PS Dodds
Journal of Computational Science 19, 21-30, 2017
92017
Does Progress On Object Recognition Benchmarks Improve Real-World Generalization?
M Richards, P Kirichenko, D Bouchacourt, M Ibrahim
arXiv preprint arXiv:2307.13136, 2023
82023
RidgeSketch: A Fast sketching based solver for large scale ridge regression
N Gazagnadou, M Ibrahim, RM Gower
SIAM Journal on Matrix Analysis and Applications 43 (3), 1440-1468, 2022
62022
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