Artificial Intelligence, Data, and Dynamics: Learning Physical Models of Living Systems
INVITED · R51
Presentations
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Machine Learning, Statistical Physics, and Ecological Dynamics
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Presenters
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Pankaj Mehta
Boston University, Physics, Boston University, Department of Physics, Boston University
Authors
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Pankaj Mehta
Boston University, Physics, Boston University, Department of Physics, Boston University
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Principles and Possibilities in the Phase Space of Animal Behavior
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Presenters
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Greg Stephens
Physics, Vrije Universiteit & OIST Graduate University, Physics, Vrije Univ (Free Univ) Amsterdam, Vrije Universiteit (Amsterdam) & OIST Graduate University (Okinawa), Vrije Universiteit
Authors
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Greg Stephens
Physics, Vrije Universiteit & OIST Graduate University, Physics, Vrije Univ (Free Univ) Amsterdam, Vrije Universiteit (Amsterdam) & OIST Graduate University (Okinawa), Vrije Universiteit
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The difference between memory and prediction in recurrent networks
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Presenters
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Sarah Marzen
Massachusetts Institute of Technology
Authors
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Sarah Marzen
Massachusetts Institute of Technology
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Alexander Hsu
Mathematics, Claremont McKenna College
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Hybrid Forecasting of Complex Systems: Combing Machine Learning with Knowledge-based Models
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Presenters
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Michelle Girvan
University of Maryland, College Park, IREAP, IPST, University of Maryland, College Park, Departments of Physics, IPST and IREAP, University of Maryland, College Park
Authors
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Michelle Girvan
University of Maryland, College Park, IREAP, IPST, University of Maryland, College Park, Departments of Physics, IPST and IREAP, University of Maryland, College Park
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Measuring the hidden dynamics of animal behavior
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Presenters
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Gordon Berman
Emory University
Authors
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Gordon Berman
Emory University
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