Videos

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Tias Guns - Prediction + Optimisation: without and with decision-focused learning - IPAM at UCLA Thumbnail

Tias Guns - Prediction + Optimisation: without and with decision-focused learning - IPAM at UCLA

Presenter
  • Tias Guns
March 2, 2023
IPAM
Maxim Ziatdinov - Bits and Atoms: Exploring the Intersection of Machine Learning and Microscopy Thumbnail

Maxim Ziatdinov - Bits and Atoms: Exploring the Intersection of Machine Learning and Microscopy

Presenter
  • Maxim Ziatdinov
January 27, 2023
IPAM
Melanie Mitchell - Abstraction and Analogy in Artificial Intelligence Thumbnail

Melanie Mitchell - Abstraction and Analogy in Artificial Intelligence

Presenter
  • Melanie Mitchell
February 15, 2022
IPAM
Implicit and Explicit Regularization in Deep Neural Networks Thumbnail

Implicit and Explicit Regularization in Deep Neural Networks

Presenter
  • Babak Hassibi
May 18, 2021
IPAM

Yong-Su Na - Fusion Reactor Core Design Revisited: Historical DEMO and Power Plant Studies, Design Methodologies, and Operation Scenarios

May 5, 2026
IPAM
Ilenia Battiato - Pushing Multiscale Modeling of Battery Systems through Symbolic-Numeric Computing Thumbnail

Ilenia Battiato - Pushing Multiscale Modeling of Battery Systems through Symbolic-Numeric Computing

Presenter
  • Ilenia Battiato
October 7, 2025
IPAM
Segev Wasserkug - Democratizing Optimization Modeling: Status, Challenges, and Future Directions Thumbnail

Segev Wasserkug - Democratizing Optimization Modeling: Status, Challenges, and Future Directions

Presenter
  • Segev Wasserkug
February 28, 2023
IPAM
Using data-driven predictions to constrain climate model uncertainty in the time remaining until critical global warming thresholds are reached Thumbnail

Using data-driven predictions to constrain climate model uncertainty in the time remaining until critical global warming thresholds are reached

Presenter
  • Noah Diffenbaugh
September 20, 2022
IMSI
A Blueprint of Standardized and Composable Machine Learning Thumbnail

A Blueprint of Standardized and Composable Machine Learning

Presenter
  • Eric Xing
August 6, 2020
IAS
Mehrnoosh Sadrzadeh - How can large language models learn from humans? - IPAM at UCLA Thumbnail

Mehrnoosh Sadrzadeh - How can large language models learn from humans? - IPAM at UCLA

Presenter
  • Mehrnoosh Sadrzadeh
November 5, 2024
IPAM

Extracting large networks from connectomes

Presenter
  • Robert Marc
April 21, 2014
MBI
Algorithms for Overcomplete Tensor Decomposition Thumbnail

Algorithms for Overcomplete Tensor Decomposition

Presenter
  • Pravesh Kothari
April 28, 2026
IAS