| Correlator convolutional neural networks as an interpretable architecture for image-like quantum matter data C Miles, A Bohrdt, R Wu, C Chiu, M Xu, G Ji, M Greiner, KQ Weinberger, ... Nature Communications 12 (1), 1-7, 2021 | 44 | 2021 |
| Machine learning discovery of new phases in programmable quantum simulator snapshots C Miles, R Samajdar, S Ebadi, TT Wang, H Pichler, S Sachdev, MD Lukin, ... Physical Review Research 5 (1), 013026, 2023 | 24 | 2023 |
| Geometric integration of classical spin dynamics via a mean-field Schrödinger equation D Dahlbom, H Zhang, C Miles, X Bai, CD Batista, K Barros Physical Review B 106 (5), 054423, 2022 | 21 | 2022 |
| Langevin dynamics of generalized spins as SU() coherent states D Dahlbom, C Miles, H Zhang, CD Batista, K Barros Physical Review B 106 (23), 235154, 2022 | 19 | 2022 |
| Fast and scalable quantum Monte Carlo simulations of electron-phonon models B Cohen-Stead, O Bradley, C Miles, G Batrouni, R Scalettar, K Barros Physical Review E 105 (6), 065302, 2022 | 18 | 2022 |
| PageRankVM: A pagerank based algorithm with anti-collocation constraints for virtual machine placement in cloud datacenters Z Li, H Shen, C Miles 2018 IEEE 38th International Conference on Distributed Computing Systems …, 2018 | 15 | 2018 |
| Machine learning of Kondo physics using variational autoencoders and symbolic regression C Miles, MR Carbone, EJ Sturm, D Lu, A Weichselbaum, K Barros, ... Physical Review B 104 (23), 235111, 2021 | 11 | 2021 |
| Dynamical tuning of the chemical potential to achieve a target particle number in grand canonical Monte Carlo simulations C Miles, B Cohen-Stead, O Bradley, S Johnston, R Scalettar, K Barros Physical Review E 105 (4), 045311, 2022 | 10 | 2022 |
| Stochastic Optimal Control of a Sailboat C Miles, A Vladimirsky IEEE Control Systems Letters 6, 2048-2053, 2021 | 2 | 2021 |
