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William Gilpin

@wgilpin0 • 5,505 subscribers

asst prof @UTAustin physics interested in chaos, fluids, & biophysics.

Shorts

How do time series foundation models forecast unseen dynamical systems? In new experiments, we find that small transformers learn to approximate transfer operators in-context. (1/N)

How do time series foundation models forecast unseen dynamical systems? In new experiments, we find that small transformers learn to approximate transfer operators in-context. (1/N)

29,207 views

In biology we measure downstream variables like genes, neurons, or species. But we can’t always measure their underlying causes. In Physical Review X I present a physics-based algorithm for learning causal drivers from time series (1/n)

In biology we measure downstream variables like genes, neurons, or species. But we can’t always measure their underlying causes. In Physical Review X I present a physics-based algorithm for learning causal drivers from time series (1/n)

73,137 views

Videos

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The second year of my fully open-source graduate computational physics course is now underway NaturalSciences @ UT Oden Institute We invite students anywhere in the world to participate. Mods/Issues/PRs on GitHub welcome! (vid: condensate forms in turbulence)

The second year of my fully open-source graduate computational physics course is now underway NaturalSciences @ UT Oden Institute We invite students anywhere in the world to participate. Mods/Issues/PRs on GitHub welcome! (vid: condensate forms in turbulence)

20,705 views • 2 years ago

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