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Machine Learning Summer School: Theoretical and Methodological Aspects of Deep Learning
Presenters
- Mikhail Belkin
- Lily Weng
June 27, 2023
SLMath
Toward a theory of optimization for over-parameterized systems of non-linear equations: the lessons of deep learning
Presenter
- Mikhail Belkin
April 21, 2020
IPAM
From Classical Statistics to Modern ML: the Lessons of Deep Learning
Presenter
- Mikhail Belkin
October 16, 2019
IAS
Geometric Aspects of Optimization and Applications to Spectral Clustering
Presenter
- Mikhail Belkin
February 8, 2016
IPAM
Non-Gaussian generalized two-mode squeezing: applications to two-ensemble spin squeezing and beyond
Presenter
- Mikhail Mamaev
October 15, 2024
IMSI
Recent Developments in Noncommutative Algebraic Geometry: "N-spherical functors, categorification of Euler's continuants and periodic semi-orthogonal decompositions"
Presenter
- Mikhail Kapranov
April 12, 2024
SLMath
Mikhail Basok - Dimers on a Riemann surface and compactified free field - IPAM at UCLA
Presenter
- Mikhail Basok
March 28, 2024
IPAM
Mikhail Kudryashev - High throughput, high performance algorithms for high res subtomogram averaging
Presenter
- Mikhail Kudryashev
November 15, 2022
IPAM
