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Leonard Berrada

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Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models

Feb 29, 2024
Soham De, Samuel L. Smith, Anushan Fernando, Aleksandar Botev, George Cristian-Muraru, Albert Gu, Ruba Haroun, Leonard Berrada, Yutian Chen, Srivatsan Srinivasan, Guillaume Desjardins, Arnaud Doucet, David Budden, Yee Whye Teh, Razvan Pascanu, Nando De Freitas, Caglar Gulcehre

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ConvNets Match Vision Transformers at Scale

Oct 25, 2023
Samuel L. Smith, Andrew Brock, Leonard Berrada, Soham De

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Unlocking Accuracy and Fairness in Differentially Private Image Classification

Aug 21, 2023
Leonard Berrada, Soham De, Judy Hanwen Shen, Jamie Hayes, Robert Stanforth, David Stutz, Pushmeet Kohli, Samuel L. Smith, Borja Balle

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Differentially Private Diffusion Models Generate Useful Synthetic Images

Feb 27, 2023
Sahra Ghalebikesabi, Leonard Berrada, Sven Gowal, Ira Ktena, Robert Stanforth, Jamie Hayes, Soham De, Samuel L. Smith, Olivia Wiles, Borja Balle

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Unlocking High-Accuracy Differentially Private Image Classification through Scale

Apr 28, 2022
Soham De, Leonard Berrada, Jamie Hayes, Samuel L. Smith, Borja Balle

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A Stochastic Bundle Method for Interpolating Networks

Jan 29, 2022
Alasdair Paren, Leonard Berrada, Rudra P. K. Poudel, M. Pawan Kumar

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Comment on Stochastic Polyak Step-Size: Performance of ALI-G

May 20, 2021
Leonard Berrada, Andrew Zisserman, M. Pawan Kumar

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Verifying Probabilistic Specifications with Functional Lagrangians

Feb 18, 2021
Leonard Berrada, Sumanth Dathathri, Krishnamurthy, Dvijotham, Robert Stanforth, Rudy Bunel, Jonathan Uesato, Sven Gowal, M. Pawan Kumar

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Training Neural Networks for and by Interpolation

Jun 13, 2019
Leonard Berrada, Andrew Zisserman, M. Pawan Kumar

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Deep Frank-Wolfe For Neural Network Optimization

Nov 19, 2018
Leonard Berrada, Andrew Zisserman, M. Pawan Kumar

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