Playlist: 31 videos

Dynamics and Discretization: PDEs, Sampling, and Optimization

0:47:30

Singular Limits for Vlasov Equations via Kinetic-Type Wasserstein Distances

Mikaela Iacobelli (ETH Zurich)
https://simons.berkeley.edu/talks/tbd-357
Dynamics and Discretization: PDEs, Sampling, and Optimization
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0:29:30

The (Non-Convex) Optimal Uniform Quantization Problem

Quentin Mérigot (Université Paris-Saclay)
https://simons.berkeley.edu/talks/non-convex-optimal-uniform-quantization-problem
Dynamics and Discretization: PDEs, Sampling, and Optimization
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0:47:4

Nonlocal Interaction Equation on Graphs: Gradient Flow Structure and Continuum Limit

Antonio Epsosito (Friedrich-Alexander University Erlangen-Nürnberg)
https://simons.berkeley.edu/talks/nonlocal-interaction-equation-graphs-gradient-flow-structure-and-continuum-limit
Dynamics and Discretization: PDEs, Sampling, and Optimization
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0:37:6

Nonlocal Wasserstein Distance and the Associated Gradient Flows

Dejan Slepčev (Carnegie Mellon Univeristy)
https://simons.berkeley.edu/talks/nonlocal-wasserstein-distance-and-associated-gradient-flows
Dynamics and Discretization: PDEs, Sampling, and Optimization
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0:45:41

A Duality Approach for Entropic-Regularized Optimal Transport: Sinkhorn Algorithm and Applications to Generative Models

Augusto Gerolin (University of Ottawa)
https://simons.berkeley.edu/talks/duality-approach-entropic-regularized-optimal-transport-sinkhorn-algorithm-and-applications
Dynamics and Discretization: PDEs, Sampling, and Optimization
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0:35:46

The Most Likely Evolution of Diffusing and Vanishing Particles in the Spirit of E. Schroedinger: Constructing Bridges With Unbalanced Marginals

Tryphon Georgiou (UC Irvine)
https://simons.berkeley.edu/talks/most-likely-evolution-diffusing-and-vanishing-particles-spirit-e-schroedinger-constructing
Dynamics and Discretization: PDEs Sampling and Optimization
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0:39:55

Training Wasserstein Generative Adversarial Networks Without Gradient Penalties

Dohyun Kwon (University of Wisconsin, Madison)
Training Wasserstein Generative Adversarial Networks Without Gradient Penalties
Dynamics and Discretization: PDEs, Sampling, and Optimization
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0:50:56

An Optimal Transport Problem With Bulk/Interface Interactions

Léonard Monsaingeon (University of Lorraine and University of Lisbon)
https://simons.berkeley.edu/talks/optimal-transport-problem-bulkinterface-interactions
Dynamics and Discretization: PDEs, Sampling, and Optimization
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0:34:1

Dissipative Evolution of Probability Measures

Giuseppe Savaré (Bocconi University)
Dissipative Evolution of Probability Measures
Dynamics and Discretization: PDEs, Sampling, and Optimization
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0:44:15

Sampling via Birth-Death Dynamics

Yulong Lu (University of Massachusetts, Amherst)
https://simons.berkeley.edu/talks/sampling-birth-death-dynamics
Dynamics and Discretization: PDEs, Sampling, and Optimization
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