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Advanced topics + Research philosophy / Neural Networks: Representation
Presenter
- Andrew Ng
July 10, 2012
IPAM
Deep Learning, Self-Taught Learning and Unsupervised Feature Learning
Presenter
- Andrew Ng
July 10, 2012
IPAM
Team 6: Visual words: Text analysis concepts for computer vision
Presenter
- Brendt Wohlberg
August 5, 2009
IMA
From stochastic gradient descent to Wasserstein gradient flows
Presenter
- Andrea Montanari
May 8, 2020
SLMath
Momentum in Stochastic Gradient Descent and Deep Neural Nets
Presenter
- Bao Wang
January 29, 2020
IPAM
Guofang Wei - Fundamental Gap Estimate for Convex Domains
Presenter
- Guofang Wei
February 7, 2022
IPAM
Andrew Christlieb - An introduction to Scientific Machine Learning - IPAM at UCLA
Presenter
- Andrew Christlieb
March 13, 2026
IPAM
Andrew Blumberg - Manifold Learning and Optimal Transport in Genomics, Pt. 1/2 - IPAM at UCLA
Presenter
- Andrew Blumberg
February 26, 2026
IPAM
Andrew Blumberg - Manifold Learning and Optimal Transport in Genomics, Pt. 2/2 - IPAM at UCLA
Presenter
- Andrew Blumberg
February 26, 2026
IPAM
Andrew Baczewski - An approach for calculating astrophysical opacities on quantum computers
Presenter
- Andrew Baczewski
February 20, 2026
IPAM