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
Invited
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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
Invited
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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
Invited
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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
Invited
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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
Invited
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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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