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On the convergence of gradient descent for wide two-layer neural networks (Part 1)
Presenter
- Francis Bach
October 4, 2021
IMSI
On the convergence of gradient descent for wide two-layer neural networks (Part 2)
Presenter
- Francis Bach
October 4, 2021
IMSI
The Mysteries of Adversarial Robustness for Non-parametric Methods and Neural Networks
Presenter
- Kamalika Chaudhuri
April 16, 2021
IMSI
Implicit Regularization in Deep Learning: Lessons Learned from Matrix and Tensor Factorization
Presenter
- Nadav Cohen
March 31, 2021
IPAM
A Machine Learning Framework for Solving High-Dimensional Mean Field Game and Mean Field Control Problems
Presenter
- Sammy Wu Fung
May 5, 2020
SLMath
A mean-field theory of lazy training in two-layer neural nets: entropic regularization and controlled McKean-Vlasov dynamics
Presenter
- Maxim Raginsky
April 21, 2020
IPAM
Understanding and mitigating gradient flow pathologies in physics-informed neural networks
Presenter
- Paris Perdikaris
April 21, 2020
ICERM
Splines and imaging: From compressed sensing to deep neural networks
Presenter
- MIchael Unser
January 27, 2020
IPAM
On the existence of wide flat minima in neural network landscapes: analytic and algorithm approaches
Presenter
- Carlo Baldassi
November 20, 2019
IPAM
Capacity-resolution trade-off in the optimal learning of multiple low-dimensional manifolds by attractor neural networks
Presenter
- Remi Monasson
November 18, 2019
IPAM