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Understanding Deep Neural Networks: From Generalization to Interpretability
Presenter
- Gitta Kutyniok
March 5, 2020
IAS
Lower Bounds in Complexity Theory, Communication Complexity, and Sunflowers
Presenter
- Toniann Pitassi
March 2, 2020
IAS
Learning-based Model Predictive Control - Towards Safe Learning in Control
Presenter
- Melanie Zeilinger
February 26, 2020
IPAM
Machine learning with neural networks: the importance of data structure
Presenter
- Marc Mezard
November 21, 2019
IPAM
Quantum annealing and machine learning - new directions of quantum
Presenter
- Masayuki Ohzeki
November 19, 2019
IPAM
Data-driven transfer operator approximation, model reduction, and system identification
Presenter
- Stefan Klus
November 1, 2019
IPAM
Learning dynamical laws from data in classical and quantum settings
Presenter
- Jens Eisert
October 29, 2019
IPAM
Why Deep Learning Works: Heavy-Tailed Random Matrix Theory as an Example of Physics Informed Machine Learning
Presenter
- Michael Mahoney
October 14, 2019
IPAM
