Predicting Nonlinear and Complex Systems with Machine Learning II

Presentations

• Choosing Optimal Reservoir Computers

  ORAL · Invited

  March 16, 2022, 12:30 PM – March 16, 2022, 1:06 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

  View abstract →

• Physical Reservoir Computing with Over-Moded Complex Systems

  ORAL

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

  View abstract →

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

  ORAL

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

  View abstract →

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

  ORAL

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

  View abstract →

• Local Flow Environment as Information Processing Medium

  ORAL

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

  View abstract →

• Reservoir Computing: Structure analysis and dynamics predictability

  ORAL

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

  View abstract →

• Learning Parametric Dynamical Systems from Videos with Integer Programming

  ORAL

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

  Presenters

  • Kazem Meidani

    Carnegie Mellon University

  Authors

  • Kazem Meidani

    Carnegie Mellon University

  • Amir Barati Farimani

    Carnegie Mellon University

  View abstract →

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

  ORAL

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

  View abstract →

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

  ORAL

  March 16, 2022, 2:30 PM – March 16, 2022, 2:42 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

  View abstract →

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

  ORAL

  March 16, 2022, 2:42 PM – March 16, 2022, 2:54 PM

  Presenters

  • Kieran A Murphy

    University of Pennsylvania

  Authors

  • Kieran A Murphy

    University of Pennsylvania

  • Danielle S Bassett

    University of Pennsylvania

  View abstract →

• Universality in Prediction Markets

  ORAL

  March 16, 2022, 2:54 PM – March 16, 2022, 3:06 PM

  Publication: We have a planned paper for this research.

  Presenters

  • Keanu M Rock

    Ryerson University

  Authors

  • Keanu M Rock

    Ryerson University

  View abstract →

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

  ORAL

  March 16, 2022, 3:06 PM – March 16, 2022, 3:18 PM

  Presenters

  • Mohamed Swailem

    Virginia Tech

  Authors

  • Mohamed Swailem

    Virginia Tech

  • Uwe C Tauber

    Virginia Tech

  View abstract →

• Cyclic predator-prey models with time varying rates

  ORAL

  March 16, 2022, 3:18 PM – March 16, 2022, 3:30 PM

  Presenters

  • Hana Z Mir

    Virginia Tech

  Authors

  • Michel Pleimling

    Virginia Tech

  • Hana Z Mir

    Virginia Tech

  • James Stidham

    Virginia Tech

  View abstract →