| Gemini 2.5: Pushing the frontier with advanced reasoning, multimodality, long context, and next generation agentic capabilities G Comanici, E Bieber, M Schaekermann, I Pasupat, N Sachdeva, I Dhillon, ... arXiv preprint arXiv:2507.06261, 2025 | 1337 | 2025 |
| Unlocking high-accuracy differentially private image classification through scale S De, L Berrada, J Hayes, SL Smith, B Balle arXiv preprint arXiv:2204.13650, 2022 | 310 | 2022 |
| Griffin: Mixing gated linear recurrences with local attention for efficient language models S De, SL Smith, A Fernando, A Botev, G Cristian-Muraru, A Gu, R Haroun, ... arXiv preprint arXiv:2402.19427, 2024 | 186 | 2024 |
| Smooth Loss Functions for Deep Top-k Classification L Berrada, A Zisserman, MP Kumar International Conference on Learning Representations, 2018 | 160 | 2018 |
| Differentially private diffusion models generate useful synthetic images S Ghalebikesabi, L Berrada, S Gowal, I Ktena, R Stanforth, J Hayes, S De, ... arXiv preprint arXiv:2302.13861, 2023 | 100 | 2023 |
| Training neural networks for and by interpolation L Berrada, A Zisserman, MP Kumar International Conference on Machine Learning, 2020 | 81 | 2020 |
| Deep Frank-Wolfe For Neural Network Optimization L Berrada, A Zisserman, MP Kumar International Conference on Learning Representations, 2019 | 50 | 2019 |
| Convnets match vision transformers at scale SL Smith, A Brock, L Berrada, S De arXiv preprint arXiv:2310.16764, 2023 | 38 | 2023 |
| Griffin: Mixing gated linear recurrences with local attention for efficient language models, 2024 S De, SL Smith, A Fernando, A Botev, G Cristian-Muraru, A Gu, R Haroun, ... URL https://arxiv. org/abs/2402.19427, 50, 0 | 34 | |
| Make sure you're unsure: A framework for verifying probabilistic specifications L Berrada, S Dathathri, K Dvijotham, R Stanforth, RR Bunel, J Uesato, ... Advances in Neural Information Processing Systems 34, 11136-11147, 2021 | 33* | 2021 |
| Operationalizing contextual integrity in privacy-conscious assistants S Ghalebikesabi, E Bagdasaryan, R Yi, I Yona, I Shumailov, A Pappu, ... arXiv preprint arXiv:2408.02373, 2024 | 30 | 2024 |
| Unlocking accuracy and fairness in differentially private image classification L Berrada, S De, JH Shen, J Hayes, R Stanforth, D Stutz, P Kohli, ... arXiv preprint arXiv:2308.10888, 2023 | 25* | 2023 |
| Trusting SVM for piecewise linear CNNs L Berrada, A Zisserman, MP Kumar International Conference on Learning Representations, 2017 | 21 | 2017 |
| Recurrentgemma: Moving past transformers for efficient open language models A Botev, S De, SL Smith, A Fernando, GC Muraru, R Haroun, L Berrada, ... arXiv preprint arXiv:2404.07839, 2024 | 19 | 2024 |
| Soham De. Convnets match vision transformers at scale SL Smith, A Brock, L Berrada arXiv preprint arXiv:2310.16764, 2023 | 15 | 2023 |
| Soham De, Samuel L S Ghalebikesabi, L Berrada, S Gowal, I Ktena, R Stanforth, J Hayes Smith, Olivia Wiles, and Borja Balle, 2023 | 13 | 2023 |
| A stochastic bundle method for interpolation A Paren, L Berrada, RPK Poudel, MP Kumar Journal of Machine Learning Research 23 (15), 1-57, 2022 | 9 | 2022 |
| Comment on stochastic Polyak step-size: Performance of ALI-G L Berrada, A Zisserman, MP Kumar arXiv preprint arXiv:2105.10011, 2021 | 5 | 2021 |
| Privacy Awareness for Information-Sharing Assistants: A Case-study on Form-filling with Contextual Integrity S Ghalebikesabi, E Bagdasarian, R Yi, I Yona, I Shumailov, A Pappu, ... Transactions on Machine Learning Research, 0 | 1 | |
| Leveraging structure for optimization in deep learning L Berrada University of Oxford, 2019 | | 2019 |
M. Pawan KumarGoogle DeepMindVerified email at deepmind.com
