Cole Miles

  • Program Year: 3
  • Academic Institution: Cornell University
  • Field of Study: Theoretical Condensed Matter
  • Academic Advisor: Eun-Ah Kim
  • Practicum(s):
    Los Alamos National Laboratory (2021)
  • Degree(s):
    B.S. Physics, and B.S. Computer Science, University of Virginia, 2019

Publications

Publications
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Miles, C. and Vladimirsky, A., 2021. Stochastic Optimal Control of a Sailboat. arXiv preprint arXiv:2109.08260.

Miles, C., Carbone, M.R., Sturm, E.J., Lu, D., Weichselbaum, A., Barros, K. and Konik, R.M., 2021. Machine-learning Kondo physics using variational autoencoders. arXiv preprint arXiv:2107.08013.

Miles, C., Bohrdt, A., Wu, R., Chiu, C., Xu, M., Ji, G., Greiner, M., Weinberger, K.Q., Demler, E. and Kim, E.A., 2021. Correlator convolutional neural networks as an interpretable architecture for image-like quantum matter data. Nature Communications, 12(1), pp.1-7.

Z. Li, H. Shen, and C. Miles, "PageRankVM: A PageRank Based Algorithm with Anti-Collocation Constraints for Virtual Machine Placement in Cloud Datacenters," 2018 IEEE 38th International Conference on Distributed Computing Systems (ICDCS)

Oral Presentations
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C. Miles, A. Bohrdt, R. Wu, C. Chiu, M. Xu, G. Ji, M. Greiner, K. Q. Weinberger, E. Demler, E-A. Kim, "Correlator Convolutional Neural Networks: An Interpretable Architecture for Image-like Quantum Matter Data", APS March Meeting 2021

C. Miles, A. Bohrdt, R. Wu, C. Chiu, M. Xu, G. Ji, M. Greiner, K. Q. Weinberger, E. Demler, E-A. Kim, "An Interpretable Non-Linear Convolutional Layer for Machine Learning of Multi-Site Correlators", QTML 2020

C. Miles, A. Vladimirsky, "Stochastic optimal control of a sailboat", Cornell SCAN seminar, Spring 2020

C. Miles, C. Duan, D. Louca, and G. Chern, "Large-Scale Reactive Molecular Dynamics Simulations of Structural Transitions in Transition-Metal Dichalcogenides", American Physical Society (APS) March Meeting, Boston, MA.

Awards

Cornell Graduate Research Fellowship (postponed), 2019
Outstanding Undergraduate Major Award in Physics, University of Virginia, 2019
Small Research and Travel Grant, University of Virginia, 2019
ICDCS 2018 Travel Grant
Intermediate Honors, University of Virginia, 2017
Echols Scholar, University of Virginia, 2015-2019