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Bethany Lusch

Showing results (1-10 of 4) with videos related to

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Nature Communications|November 25, 2018
Deep learning for universal linear embeddings of nonlinear dynamicsBethany Lusch, J Nathan Kutz, Steven L Brunton
Physical Review. E|October 15, 2016
Inferring connectivity in networked dynamical systems: Challenges using Granger causalityBethany Lusch, Pedro D Maia, J Nathan Kutz
Brain and Cognition|March 30, 2018
Modeling cognitive deficits following neurodegenerative diseases and traumatic brain injuries with deep convolutional neural networksBethany Lusch, Jake Weholt, Pedro D Maia, et al.
Proceedings of the National Academy of Sciences of the United States of America|October 23, 2019
Data-driven discovery of coordinates and governing equationsKathleen Champion, Bethany Lusch, J Nathan Kutz, et al.
Pageof 1

Showing results (1-10 of 4) with videos related to

Sort By:
Pageof 1
Nature Communications|November 25, 2018
Deep learning for universal linear embeddings of nonlinear dynamicsBethany Lusch, J Nathan Kutz, Steven L Brunton
Physical Review. E|October 15, 2016
Inferring connectivity in networked dynamical systems: Challenges using Granger causalityBethany Lusch, Pedro D Maia, J Nathan Kutz
Brain and Cognition|March 30, 2018
Modeling cognitive deficits following neurodegenerative diseases and traumatic brain injuries with deep convolutional neural networksBethany Lusch, Jake Weholt, Pedro D Maia, et al.
Proceedings of the National Academy of Sciences of the United States of America|October 23, 2019
Data-driven discovery of coordinates and governing equationsKathleen Champion, Bethany Lusch, J Nathan Kutz, et al.
Pageof 1