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Carlos Oscar Sorzano - Machine learning for Single Particle Analysis by Cryo-Electron Microscopy
Presenter
- Carlos Sorzano
November 14, 2022
IPAM
Peter Binev - Learning Theory and Computational Microscopy
Presenter
- Peter Binev
September 14, 2022
IPAM
Geometric manifold learning methods and collective variables
Presenter
- Marina Meila
December 5, 2016
IPAM
Is optimization computationally equivalent to online learning?
Presenter
- Elad Hazan
October 5, 2015
IAS
New Algorithms for Learning Incoherent and Overcomplete Dictionaries
Presenter
- Rong Ge
May 7, 2014
ICERM
Zecheng Zhang - Deep Operator Learning Approximation and Distributed Applications - IPAM at UCLA
Presenter
- Zecheng Zhang
July 16, 2025
IPAM
Jarrod McClean - Dequantization and quantum advantage in learning from experiments
Presenter
- Jarrod McClean
January 25, 2022
IPAM
Towards a Theory of Representation Learning for Reinforcement Learning
Presenter
- Alekh Agarwal
August 2, 2021
ICERM
Computational Imaging: Reconciling Models and Learning
Presenter
- Ulugbek Kamilov
January 28, 2020
IPAM
Scalable deep learning: using parallel algorithms and HPC systems to train large models on big data set
Presenter
- Brian Van Essen
September 17, 2018
IPAM
Incorporation of Geometry into Learning Algorithms and Medicine
Presenter
- Alexander Cloninger
December 5, 2016
IMA