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Predicting Nonlinear and Complex Systems with Machine Learning II

FOCUS · N09 · ID: 46517






Presentations

  • Choosing Optimal Reservoir Computers

    ORAL · Invited

    Publication: T. L. Carroll and L. M. Pecora, "Network structure effects in reservoir computers," Chaos, vol. 29, p. 083130, Aug 2019.<br>T. L. Carroll, "Dimension of reservoir computers," Chaos, vol. 30, p. 013102, 2020.<br>T. L. Carroll, "Path length statistics in reservoir computers," Chaos:, vol. 30, p. 083130, 2020.<br>T. L. Carroll, "Do reservoir computers work best at the edge of chaos?," Chaos, vol. 30, p. 121109, Dec 2020.<br>T. L. Carroll, "Low dimensional manifolds in reservoir computers," Chaos, vol. 31, p. 043113, 2021.<br>T. L. Carroll, "Optimizing Reservoir Computers for Signal Classification," Frontiers in Physiology, vol. 12, 2021-June-18 2021.

    Presenters

    • Thomas L Carroll

      United States Naval Research Laboratory

    Authors

    • Thomas L Carroll

      United States Naval Research Laboratory

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  • Physical Reservoir Computing with Over-Moded Complex Systems

    ORAL

    Publication: Shukai Ma, Thomas Antonsen, Steven Anlage, Edward Ott, "Short-wavelength Reverberant Wave Systems for Enhanced Reservoir Computing," DOI: 10.21203/rs.3.rs-783820/v1

    Presenters

    • Shukai Ma

      University of Maryland, College Park

    Authors

    • Shukai Ma

      University of Maryland, College Park

    • Thomas M Antonsen

      University of Maryland, College Park

    • Steven M Anlage

      University of Maryland, College Park

    • Edward Ott

      University of Maryland, College Park

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  • Local Flow Environment as Information Processing Medium

    ORAL

    Publication: Local Flow Environment as Information Processing Medium (planned)

    Presenters

    • Timothy J Vincent

      UES, Inc

    Authors

    • Timothy J Vincent

      UES, Inc

    • Philip Buskohl

      Air Force Research Lab - WPAFB, AFRL

    • Benjamin Grossmann

      UES, Inc

    • Daniel Nelson

      UES, Inc

    • Benjamin Dickinson

      AFRL

    • Jeffery Baur

      AFRL

    • Alexander Pankonien

      AFRL

    View abstract →

  • Reservoir Computing: Structure analysis and dynamics predictability

    ORAL

    Publication: Follmann, R. and Rosa Jr, E., 2019. "Predicting slow and fast neuronal dynamics with machine learning". Chaos: An Interdisciplinary Journal of Nonlinear Science, 29(11), p.113119.

    Presenters

    • Rosangela Follmann

      Illinois State University

    Authors

    • Rosangela Follmann

      Illinois State University

    • Cassie Mcginnis

      Illinois State University

    • Gangadhar Katuri

      Illinois State University

    • Epaminondas Rosa

      Illinois State University

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  • Bayesian Modelling of Phase-Field Crystal Models for Targeted Crystalline Patterns

    ORAL

    Publication: [1] Natsuhiko Yoshinaga, Satoru Tokuda, "Bayesian Modelling of Pattern Formation from One Snapshot of Pattern", arXiv:2006.06125 (2021).

    Presenters

    • Natsuhiko Yoshinaga

      WPI-AIMR, Tohoku Univ, Tohoku Univ

    Authors

    • Natsuhiko Yoshinaga

      WPI-AIMR, Tohoku Univ, Tohoku Univ

    • Satoru Tokuda

      Research Institute for Information Technology, Kyushu University, Kasuga 816-8580, Japan

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  • Learning and predicting complex systems dynamics from single-variable observations

    ORAL

    Presenters

    • George Stepaniants

      Massachusetts Institute of Technology MIT

    Authors

    • George Stepaniants

      Massachusetts Institute of Technology MIT

    • Alasdair Hastewell

      Massachusetts Institute of Technology MIT, Massachusetts Institute of Technology MI

    • Dominic J Skinner

      Massachusetts Institute of Technology, Massachusetts Institute of Technology MIT

    • Jan F Totz

      MIT, Massachusetts Institute of Technology MIT, Massachusetts Institute of Technology MI

    • Jorn Dunkel

      Massachusetts Institute of Technology MIT, Department of Mathematics, Massachusetts Institute of Technology, Massachusetts Institute of Technology

    View abstract →