Videos

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Contributions to deep learning using a mathematical approach: improved model uncertainty, certified robust models, and faster training of Neural ODEs Thumbnail

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 Thumbnail

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 Thumbnail

Gradient descent, Stochastic gradient descent, and acceleration

Presenter
  • Adam Oberman
March 10, 2020
IPAM
Generalization Theory in Machine Learning Thumbnail

Generalization Theory in Machine Learning

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
A PDE Approach to Regularization in Deep Learning Thumbnail

A PDE Approach to Regularization in Deep Learning

Presenter
  • Adam Oberman
August 30, 2017
IPAM
Convergent Finite Difference Solvers for the Monge-Ampère Equation with Optimal Transportation Boundary Conditions Thumbnail

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 Thumbnail

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 Thumbnail

Finite Difference schemes for Geometric Nonlinear Elliptic PDEs

Presenter
  • Adam Oberman
March 17, 2007
SLMath
Adam Holmes - From NISQ to Fault Tolerance: Architecting the Accelerated Quantum Supercomputer Thumbnail

Adam Holmes - From NISQ to Fault Tolerance: Architecting the Accelerated Quantum Supercomputer

Presenter
  • Adam Holmes
February 20, 2026
IPAM
Adam Rupe - A complex systems perspective on machine learning for Earth science - IPAM at UCLA Thumbnail

Adam Rupe - A complex systems perspective on machine learning for Earth science - IPAM at UCLA

Presenter
  • Adam Rupe
February 3, 2026
IPAM
Why Language Models Hallucinate Thumbnail

Why Language Models Hallucinate

Presenter
  • Adam Kalai
November 24, 2025
IAS