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Gintare Karolina Dziugaite - The dynamics of memorization and generalization in deep learning
Presenter
- Gintare Karolina Dziugaite
October 15, 2024
IPAM
Vidya Muthukumar - Comparison and transfer between tasks in overparameterized learning
Presenter
- Vidya Muthukumar
October 15, 2024
IPAM
Patrick Shafto - Common Ground in Cooperative Communication - IPAM at UCLA
Presenter
- Patrick Shafto
October 15, 2024
IPAM
Boris Hanin - Neural Network Scaling Limits - IPAM at UCLA
Presenter
- Boris Hanin
October 14, 2024
IPAM
Wu Lin - A framework for designing (non-diagonal) adaptive training methods - IPAM at UCLA
Presenter
- Wu Lin
October 14, 2024
IPAM
Nikos Tsilivis - The Price of Implicit Bias in Robust ML - IPAM at UCLA
Presenter
- Nikos Tsilivis
October 14, 2024
IPAM
Elvis Dohmatob - The Mathematics of Scaling Laws and Model Collapse in AI - IPAM at UCLA
Presenter
- Elvis Dohmatob
October 14, 2024
IPAM
Fanny Yang - Surprising phenomena of max-lp-margin classifiers in high dimensions - IPAM at UCLA
Presenter
- Fanny Yang
October 17, 2024
IPAM
Practically Relevant Theory and Theoretically Relevant Practice of Deep Learning
Presenter
- Shai Shalev-Shwartz
May 17, 2016
IMA
Integrating the spectral analysis of neural networks and nonlinear physics for explainability, generalizability, and stability
Presenter
- Pedram Hassanzadeh
November 4, 2022
IMSI
