2022
Diffusion normalizing flow (Zhang, Q., et al.)
Reading group presentation. University of Illinois Urbana-Champaign. Fall 2022.
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GeONet: a neural operator for learning the Wasserstein geodesic
Harnessing Data for Materials Symposium, Chicago 2022, with Duke University and University of Chicago. Fall 2022.
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The Basics of PyTorch with NNs, CNNs, and PINNs
DIGIMAT professional development seminar. University of Illinois at Urbana-Champaign. Winter 2022.
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2021
Convolutional neural networks in learning Fokker-Planck equations
MA thesis defense. University of California, Santa Barbara. Spring 2021.
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2020
Machine learning in solving the poisson equation diffusion constant
SIAM graduate seminar. University of California, Santa Barbara. Fall 2020.
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Convolutional neural networks in learning partial differential equations
Applied math summer seminar. University of California, Santa Barbara. Summer 2020.
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Convolutional neural networks in learning partial differential equations
Graduate simulation seminar series. University of California, Santa Barbara. Summer 2020.
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A special case of global regularity for the Navier-Stokes equation (Terence Tao)
Applied math summer seminar. University of California, Santa Barbara. Summer 2020.
Andrew Gracyk 