| Using parallelized incremental meta-docking can solve the conformational sampling issue when docking large ligands to proteins D Devaurs, DA Antunes, S Hall-Swan, N Mitchell, M Moll, G Lizée, ... BMC molecular and cell biology 20, 1-15, 2019 | 30 | 2019 |
| Optimizing the communication-accuracy trade-off in federated learning with rate-distortion theory N Mitchell, J Ballé, Z Charles, J Konečný arXiv preprint arXiv:2201.02664, 2022 | 20 | 2022 |
| Towards federated foundation models: Scalable dataset pipelines for group-structured learning Z Charles, N Mitchell, K Pillutla, M Reneer, Z Garrett Advances in Neural Information Processing Systems 36, 2024 | 9 | 2024 |
| JaxPruner: A concise library for sparsity research JH Lee, W Park, NE Mitchell, J Pilault, JSO Ceron, HB Kim, N Lee, ... Conference on Parsimony and Learning, 515-528, 2024 | 3 | 2024 |
| Leveraging Function Space Aggregation for Federated Learning at Scale N Dhawan, N Mitchell, Z Charles, Z Garrett, GK Dziugaite arXiv preprint arXiv:2311.10291, 2023 | 1 | 2023 |
| Fine-Tuning Large Language Models with User-Level Differential Privacy Z Charles, A Ganesh, R McKenna, HB McMahan, N Mitchell, K Pillutla, ... arXiv preprint arXiv:2407.07737, 2024 | | 2024 |
| A Rate--Distortion View on Model Updates NE Mitchell, J Ballé, Z Charles, J Konečný | | 2023 |
| Machine Learning-Based Prediction of Sites of Metabolism in Drugs: Exploring Feature Extraction Methods on Molecular Graphs NE Mitchell Rice University, 2020 | | 2020 |
| DrJAX: Scalable and Differentiable MapReduce Primitives in JAX JK Rush, Z Charles, Z Garrett, S Augenstein, NE Mitchell 2nd Workshop on Advancing Neural Network Training: Computational Efficiency …, 0 | | |
Zachary CharlesResearch Scientist, GoogleVerified email at google.com
