Nicole Mitchell
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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
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
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
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
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
A Rate--Distortion View on Model Updates
NE Mitchell, J Ballé, Z Charles, J Konečný
Machine Learning-Based Prediction of Sites of Metabolism in Drugs: Exploring Feature Extraction Methods on Molecular Graphs
NE Mitchell
Rice University, 2020
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