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Improving PDE solvers and PDE-constrained optimization with deep learning and differentiable programming
Presenter
- Stephan Hoyer
October 18, 2019
IPAM
The Information Bottleneck theory of Deep Learning and the computational benefit of the hidden layers
Presenter
- Naftali Tishby
February 21, 2019
ICERM
Deep Learning, Self-Taught Learning and Unsupervised Feature Learning
Presenter
- Andrew Ng
July 10, 2012
IPAM
Optimization, Learning and the Universality of Mirror Descent
Presenter
- Nathan (Nati) Srebro
March 29, 2012
IMA
How to learn from a single network: Relational learning for social network domains
Presenter
- Jennifer Neville
March 28, 2012
IMA
Wei Zhu - Structure-preserving machine learning and data-driven structure discovery - IPAM at UCLA
Presenter
- Wei Zhu
July 18, 2025
IPAM
Deep Uncertainty Quantification for Dynamics Learning and Decision-Making
Presenter
- Rose Yu
June 13, 2025
IMSI
Pronita Mehrotra - Cognitive Mechanisms That Power Learning and Creativity - IPAM at UCLA
Presenter
- Pronita Mehrotra
November 8, 2024
IPAM
Understanding diffusion in complex materials using machine learning and a variational approach
Presenter
- Dallas Trinkle
May 16, 2024
IMSI