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Wasserstein Proximals Stabilize Training of Generative Models and Learn Manifolds
This is a talk slide for SIAM Mathematics of Data Science 2024.
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Lipschitz-Regularized Gradient Flows and Latent Generative Particles
This is a poster for SIAM Mathematics of Data Science 2024.
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Lipschitz Regularized Gradient Flows and Latent Generative Particles
This is a poster for Optimal Transport in Data Science - ICERM 2023.
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Sample generation from unknown distributions - Particle Descent Algorithm induced by (f, Γ)-gradient flow
This is a 2022 Spring Project paper/presentation slide for the Stochastic processes class.
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Python ODE solving tutorial
These are 3 days tutorials(videos, slides, jupyter notebooks) for solving ODEs using Python numerical ODE solvers and introducing PINNs. It was a part of 2021 Fall Nonlinear dynamics class. Conducted by T.A. Hyemin Gu.