Leonard Berrada

According to our database1, Leonard Berrada authored at least 17 papers between 2017 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Operationalizing Contextual Integrity in Privacy-Conscious Assistants.
CoRR, 2024

RecurrentGemma: Moving Past Transformers for Efficient Open Language Models.
CoRR, 2024

Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models.
CoRR, 2024

2023
ConvNets Match Vision Transformers at Scale.
CoRR, 2023

Unlocking Accuracy and Fairness in Differentially Private Image Classification.
CoRR, 2023

Differentially Private Diffusion Models Generate Useful Synthetic Images.
CoRR, 2023

2022
A Stochastic Bundle Method for Interpolation.
J. Mach. Learn. Res., 2022

Unlocking High-Accuracy Differentially Private Image Classification through Scale.
CoRR, 2022

A Stochastic Bundle Method for Interpolating Networks.
CoRR, 2022

2021
Comment on Stochastic Polyak Step-Size: Performance of ALI-G.
CoRR, 2021

Verifying Probabilistic Specifications with Functional Lagrangians.
CoRR, 2021

Make Sure You're Unsure: A Framework for Verifying Probabilistic Specifications.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020
Training Neural Networks for and by Interpolation.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
Leveraging structure for optimization in deep learning.
PhD thesis, 2019

Deep Frank-Wolfe For Neural Network Optimization.
Proceedings of the 7th International Conference on Learning Representations, 2019

2018
Smooth Loss Functions for Deep Top-k Classification.
Proceedings of the 6th International Conference on Learning Representations, 2018

2017
Trusting SVM for Piecewise Linear CNNs.
Proceedings of the 5th International Conference on Learning Representations, 2017


  Loading...