58:14

STANLEY OSHER Innovations in MeanField Game Theory for Scalable Computation and Diverse Applications

01:12:11

SHORT TALKS by Various Participants

43:16

LARS RUTHOTTO: Variational Autoencoders

50:32

LARS RUTHOTTO: Introduction to Deep Generative Modeling

01:03:11

LARS RUTHOTTO: Generative Adversarial Networks

01:28:57

RON DEVORE: Deep Learning and Neural Networks: The Mathematical View

52:40

George Kyriazis - Product Besoz and Triebel-Lizorkin Spaces with Application to Nonlinear Approx

46:55

Olga Mula - Solving Neutron Transport Problems with Certified Error Control

01:11:58

Thomas Vogt - Imaging with Electrons

01:06:48

Kamen Ivanov - Nonlinear n-term approximation ... on the sphere from shifts of the Newtonian kernel

01:18:21

Ron DeVore - Optimality Algorithms for Approximation/Computation

01:11:14

Albert Cohen - Reduced Modeling for Manifold Sensing

01:54

EDX tomography

26:23

Victor DeCaria - An Artificial Compression Based Reduced Order Model

31:47

Simone Brugiapaglia - Compressive Sensing Approaches for High-Dimensional Function Approximation

23:55

Majid Noroozi - Clustering in Popularity Adjusted Stochastic Block Model

01:20:02

Gitta Kutyniok - Theory of Deep Learning (3/3)

01:18:56

Gitta Kutyniok - Theory of Deep Learning (2/3)

51:14

Gitta Kutyniok - Theory of Deep Learning (1/3)

01:05:29

Eitan Tadmor - Collective dynamics: emergent behavior ...(3/3)

55:38

Albert Cohen - Least-Squares Methods for High Dimensional Problems (4/4)

01:01:21

Albert Cohen - Least-Squares Methods for High Dimensional Problems (3/4)

59:39

Albert Cohen - Least-Squares Methods for High Dimensional Problems (2/4)

20:00

Qingguang Guan - Poor Global Optima for Fully Connected Deep ReLU Neural Networks...

56:28

Albert Cohen - Least-Squares Methods for High Dimensional Problems (1/4)

01:05:57

Changhui Tan - Asymptotic Preserving Schemes on Kinetic Models with Singular Limits

49:13

Eitan Tadmor - Collective dynamics: emergent behavior ...(2/3)

01:00:20

Eitan Tadmor - Collective dynamics: emergent behavior ...(1/3)

01:10:04

Ronald DeVore - An Overview of Approximation of Functions of Many Variables (2/2)

55:40

Ronald DeVore - An Overview of Approximation of Functions of Many Variables (1/2)

54:56

Multi-Scale and Multi-Species Modeling for Collective Behavior

01:02:13

Function Approximation with Oversampling

53:12

Joint-Sparse Approximation for High-Dimensional Parameterized PDEs

42:57

Discontinuous Petrov-Galerkin (DPG) Method with Optimal Test Functions (4/4)

57:50

Discontinuous Petrov-Galerkin (DPG) Method with Optimal Test Functions (3/4)

52:16

Discontinuous Petrov-Galerkin (DPG) Method with Optimal Test Functions (2/4)

50:18

Discontinuous Petrov-Galerkin (DPG) Method with Optimal Test Functions (1/4)

02:08:57

An Introduction to Variational Image Processing

02:38:43

Learning Models from Data with Non-Convex Optimization

01:53:45

Approximation and Data Assimilation

01:23:52

Data and Models: Introduction