Videos

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Thermostatic Controls for Noisy Gradient Systems and Applications to Machine Learning

Presenter
  • Ben Leimkuhler
July 30, 2015
ICERM
Personalized Rank Aggregation Thumbnail

Personalized Rank Aggregation

Presenter
  • Sahand Negahban
May 21, 2015
IMA
High-throughput Data and New representations for Models and Machine Learning Thumbnail

High-throughput Data and New representations for Models and Machine Learning

Presenter
  • Gus Hart
February 24, 2015
IPAM
Optimizing Decomposable Submodular Functions Thumbnail

Optimizing Decomposable Submodular Functions

Presenter
  • Stefanie Jegelka
February 24, 2015
IMA
Boosting and Low-rank Thumbnail

Boosting and Low-rank

Presenter
  • Bin Yu
June 24, 2013
IMA

Rebekah White - Surrogate-Based Optimization of Magnetized Liner Inertial Fusion (MagLIF) Target Design

May 20, 2026
IPAM

Boris Kramer - Structure-preserving Lift & Learn: Scientific machine learning for nonlinear conservative partial differential equations

April 17, 2026
IPAM

Solving and Learning Partial Differential Equations with Q-Exponential Processes

Presenter
  • Shiwei Lan
March 6, 2026
ICERM
Data-efficient kernel methods for learning differential equations and their solution operators Thumbnail

Data-efficient kernel methods for learning differential equations and their solution operators

Presenter
  • Bamdad Hosseini
October 8, 2025
IMSI
Constraining the outputs of ReLu neural networks Thumbnail

Constraining the outputs of ReLu neural networks

Presenter
  • Yulia Alexandr
July 21, 2025
IMSI
The mean-squared-error is not enough: Improved prediction of chaotic dynamical systems with scientific machine learning Thumbnail

The mean-squared-error is not enough: Improved prediction of chaotic dynamical systems with scientific machine learning

Presenter
  • Romit Maulik
June 13, 2025
IMSI

Recent developments in nonlinear random matrices

Presenter
  • Yizhe Zhu
May 22, 2024
ICERM