Earth Signals and Systems Group
Informatics and Intelligent Systems for Earth, Atmospheric, and Planetary Science
News
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WACV 2020: Deep Learning Experiments with Sloop
We presented a video and paper at the Winter Applications of Computer Vision Conference (WACV 2020) in the Deep Learning for Animal Re-Identification Workshop.
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Ravela speaks at Resilience Meeting
We presented our work on long-range prediction and climate risk to a mixed academic-industrial audience, much fun it was!
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Dr. Goel visits MIT
Under a collaboration, we are developing adaptive autopilots to handle rapid unmodeled aircraft configuration changes, Dr. Ankit Goel visits us L2R: Ankit, Sai, Amro, Salem,…
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Physics and Learning
Sai Ravela participates in a panel: Understanding and narrowing gaps between Data Science and Mechanistic Understanding
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Theory-Data Symbiosis in Learning
Sai Ravela particiaptes in a panel on theory-guided data science.
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The Learnability of Feedforward Neural Networks in Dissipative Chaotic Dynamical Systems
Ziwei Li and Sai Ravela discuss how See you at AGU 2019!
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Theory-Learning Symbiosis in Dynamics
Sai Ravela presents at Shell, arguing for theory-data symbiosis, which includes:
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Estimating Abundance from Observations
Michael Barbehenn and Alton Barbehenn Based on catch data from an open population of animal exposed to a grid of traps for several days, we…
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Generative Models of Light Curves
Goran Zivanovic, PhD Student, EECS, with advisors Seager and Ravela, presents his work on developing generative light-curve models in exoplanet studies. Promising!
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Exact Machines and Theory-Driven Neural Computation
Sai Ravela presented his work on production of Exact Neural Networks using Theory, as well as matched spectra as a basis for configuring learning.