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Contributions to deep learning using a mathematical approach: improved model uncertainty, certified robust models, and faster training of Neural ODEs
Presenter
- Adam Oberman
October 5, 2020
IPAM
From an ODE to accelerated stochastic gradient descent: convergence rate and empirical results
Presenter
- Adam Oberman
May 7, 2020
SLMath
Gradient descent, Stochastic gradient descent, and acceleration
Presenter
- Adam Oberman
March 10, 2020
IPAM
Partial Differential Equations Approaches to Optimization and Regularization of Deep Neural Networks
Presenter
- Adam Oberman
November 2, 2018
ICERM
Convergent Finite Difference Solvers for the Monge-Ampère Equation with Optimal Transportation Boundary Conditions
Presenter
- Adam Oberman
June 12, 2014
IMA
Convergent Finite Difference Solvers for the Monge-Ampère Equation with Optimal Transportation Boundary Conditions
Presenter
- Adam Oberman
June 11, 2014
IMA
Finite Difference schemes for Geometric Nonlinear Elliptic PDEs
Presenter
- Adam Oberman
March 17, 2007
SLMath
Knot Floer Homology, Bordered Floer Homology, and Surgery Modules
Presenter
- Adam Levine
May 15, 2025
ICERM