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Guillaume Leclerc
Guillaume Leclerc
PhD Student
Verified email at mit.edu
Title
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Cited by
Year
Sagedb: A learned database system
T Kraska, M Alizadeh, A Beutel, EH Chi, J Ding, A Kristo, G Leclerc, ...
1582021
The two regimes of deep network training
G Leclerc, A Madry
arXiv preprint arXiv:2002.10376, 2020
212020
The seamless peer and cloud evolution framework
G Leclerc, JE Auerbach, G Iacca, D Floreano
Proceedings of the Genetic and Evolutionary Computation Conference 2016, 821-828, 2016
202016
3db: A framework for debugging computer vision models
G Leclerc, H Salman, A Ilyas, S Vemprala, L Engstrom, V Vineet, K Xiao, ...
arXiv preprint arXiv:2106.03805, 2021
182021
Datamodels: Predicting predictions from training data
A Ilyas, SM Park, L Engstrom, G Leclerc, A Madry
arXiv preprint arXiv:2202.00622, 2022
162022
Smallify: Learning network size while training
G Leclerc, M Vartak, RC Fernandez, T Kraska, S Madden
arXiv preprint arXiv:1806.03723, 2018
132018
Adversarially trained neural representations are already as robust as biological neural representations
C Guo, M Lee, G Leclerc, J Dapello, Y Rao, A Madry, J Dicarlo
International Conference on Machine Learning, 8072-8081, 2022
42022
Datamodels: Understanding predictions with data and data with predictions
A Ilyas, SM Park, L Engstrom, G Leclerc, A Madry
International Conference on Machine Learning, 9525-9587, 2022
22022
FFCV: Accelerating Training by Removing Data Bottlenecks
G Leclerc, A Ilyas, L Engstrom, SM Park, H Salman, A Madry
12022
Model metamers illuminate divergences between biological and artificial neural networks
J Feather, G Leclerc, A Mądry, JH McDermott
bioRxiv, 2022
12022
Bayesian Skip Net: Building on Prior Information for the Prediction and Segmentation of Stroke Lesions
J Klug, G Leclerc, E Dirren, MG Preti, DVD Ville, E Carrera
International MICCAI Brainlesion Workshop, 168-180, 2020
12020
Learning Network Size While Training with ShrinkNets
G Leclerc, RC Fernandez, S Madden
Conference on Systems and Machine Learning, 2018
12018
Abstract P357: Deep Learning Building on Prior Ischemic Core Segmentation Improves Prediction of Infarction After Stroke
J Klug, G Leclerc, E Dirren, P Maria Gulia, D Van De Ville, E Carrera
Stroke 52 (Suppl_1), AP357-AP357, 2021
2021
Revisiting Ensembles in an Adversarial Context: Improving Natural Accuracy
A Saligrama, G Leclerc
arXiv preprint arXiv:2002.11572, 2020
2020
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Articles 1–14