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Daniel Dylewsky

Showing results (1-10 of 6) with videos related to

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Scientific Reports|August 6, 2024
Early warning signals for bifurcations embedded in high dimensionsDaniel Dylewsky, Madhur Anand, Chris T Bauch
Physical Review. E|July 24, 2019
Dynamic mode decomposition for multiscale nonlinear physicsDaniel Dylewsky, Molei Tao, J Nathan Kutz
Physical Review. E|September 18, 2020
Sparse identification of slow timescale dynamicsJason J Bramburger, Daniel Dylewsky, J Nathan Kutz
Physical Review. E|February 23, 2022
Principal component trajectories for modeling spectrally continuous dynamics as forced linear systemsDaniel Dylewsky, Eurika Kaiser, Steven L Brunton, et al.
Nature Communications|October 10, 2023
Predicting discrete-time bifurcations with deep learningThomas M Bury, Daniel Dylewsky, Chris T Bauch, et al.
Journal of the Royal Society, Interface|April 4, 2023
Universal early warning signals of phase transitions in climate systemsDaniel Dylewsky, Timothy M Lenton, Marten Scheffer, et al.
Pageof 1

Showing results (1-10 of 6) with videos related to

Sort By:
Pageof 1
Scientific Reports|August 6, 2024
Early warning signals for bifurcations embedded in high dimensionsDaniel Dylewsky, Madhur Anand, Chris T Bauch
Physical Review. E|July 24, 2019
Dynamic mode decomposition for multiscale nonlinear physicsDaniel Dylewsky, Molei Tao, J Nathan Kutz
Physical Review. E|September 18, 2020
Sparse identification of slow timescale dynamicsJason J Bramburger, Daniel Dylewsky, J Nathan Kutz
Physical Review. E|February 23, 2022
Principal component trajectories for modeling spectrally continuous dynamics as forced linear systemsDaniel Dylewsky, Eurika Kaiser, Steven L Brunton, et al.
Nature Communications|October 10, 2023
Predicting discrete-time bifurcations with deep learningThomas M Bury, Daniel Dylewsky, Chris T Bauch, et al.
Journal of the Royal Society, Interface|April 4, 2023
Universal early warning signals of phase transitions in climate systemsDaniel Dylewsky, Timothy M Lenton, Marten Scheffer, et al.
Pageof 1