Predicting Nonlinear and Complex Systems with Machine Learning II

Presentations

• Choosing Optimal Reservoir Computers

  ORAL · Invited

  March 16, 2022, 11:30 AM – March 16, 2022, 12:06 PM

  Publication: T. L. Carroll and L. M. Pecora, "Network structure effects in reservoir computers," Chaos, vol. 29, p. 083130, Aug 2019.
  T. L. Carroll, "Dimension of reservoir computers," Chaos, vol. 30, p. 013102, 2020.
  T. L. Carroll, "Path length statistics in reservoir computers," Chaos:, vol. 30, p. 083130, 2020.
  T. L. Carroll, "Do reservoir computers work best at the edge of chaos?," Chaos, vol. 30, p. 121109, Dec 2020.
  T. L. Carroll, "Low dimensional manifolds in reservoir computers," Chaos, vol. 31, p. 043113, 2021.
  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

  March 16, 2022, 12:06 PM – March 16, 2022, 12:18 PM

  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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• Data-driven Surrogate Modeling for Nonlinear Material Systems in Unconventional Computing

  ORAL

  March 16, 2022, 12:18 PM – March 16, 2022, 12:30 PM

  Presenters

  • Benjamin Grossmann

    • UES, Inc

  Authors

  • Philip Buskohl

    • Air Force Research Lab - WPAFB
    • AFRL

  • Benjamin Grossmann

    • UES, Inc

  • Daniel Nelson

    • UES, Inc

  • Amanda Criner

    • AFRL

  • Timothy J Vincent

    • UES, Inc

  • Andrew Gillman

    • AFRL
    • Air Force Research Lab - WPAFB

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• Koopman Theory and Predictive Equivalence: Learning Implicit Models of Complex Systems from Partial Observations

  ORAL

  March 16, 2022, 12:30 PM – March 16, 2022, 12:42 PM

  Presenters

  • Adam Rupe

    • Los Alamos National Laboratory

  Authors

  • Adam Rupe

    • Los Alamos National Laboratory

  • Velimir V Vesselinov

    • Los Alamos National Laboratory

  • James P Crutchfield

    • University of California, Davis

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• Local Flow Environment as Information Processing Medium

  ORAL

  March 16, 2022, 12:42 PM – March 16, 2022, 12:54 PM

  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

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• Reservoir Computing: Structure analysis and dynamics predictability

  ORAL

  March 16, 2022, 12:54 PM – March 16, 2022, 1:06 PM

  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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• Learning Parametric Dynamical Systems from Videos with Integer Programming

  ORAL

  March 16, 2022, 1:06 PM – March 16, 2022, 1:18 PM

  Presenters

  • Kazem Meidani

    • Carnegie Mellon University

  Authors

  • Kazem Meidani

    • Carnegie Mellon University

  • Amir Barati Farimani

    • Carnegie Mellon University

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

  ORAL

  March 16, 2022, 1:18 PM – March 16, 2022, 1:30 PM

  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

  March 16, 2022, 1:30 PM – March 16, 2022, 1:42 PM

  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

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• The information bottleneck powered by deep learning to illuminate micro to macro relationships in complex systems

  ORAL

  March 16, 2022, 1:42 PM – March 16, 2022, 1:54 PM

  Presenters

  • Kieran A Murphy

    • University of Pennsylvania

  Authors

  • Kieran A Murphy

    • University of Pennsylvania

  • Danielle S Bassett

    • University of Pennsylvania

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• Universality in Prediction Markets

  ORAL

  March 16, 2022, 1:54 PM – March 16, 2022, 2:06 PM

  Publication: We have a planned paper for this research.

  Presenters

  • Keanu M Rock

    • Ryerson University

  Authors

  • Keanu M Rock

    • Ryerson University

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• Lotka-Volterra predator-prey lattice model with a time-dependent carrying capacity.

  ORAL

  March 16, 2022, 2:06 PM – March 16, 2022, 2:18 PM

  Presenters

  • Mohamed Swailem

    • Virginia Tech

  Authors

  • Mohamed Swailem

    • Virginia Tech

  • Uwe C Tauber

    • Virginia Tech

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• Cyclic predator-prey models with time varying rates

  ORAL

  March 16, 2022, 2:18 PM – March 16, 2022, 2:30 PM

  Presenters

  • Hana Z Mir

    • Virginia Tech

  Authors

  • Michel Pleimling

    • Virginia Tech

  • Hana Z Mir

    • Virginia Tech

  • James Stidham

    • Virginia Tech

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