Videos

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Hsin-Yuan (Robert) Huang - Learning to predict arbitrary quantum processes - IPAM at UCLA Thumbnail

Hsin-Yuan (Robert) Huang - Learning to predict arbitrary quantum processes - IPAM at UCLA

Presenter
  • Hsin-Yuan Huang
October 18, 2023
IPAM
Integrating the spectral analysis of neural networks and nonlinear physics for explainability, generalizability, and stability Thumbnail

Integrating the spectral analysis of neural networks and nonlinear physics for explainability, generalizability, and stability

Presenter
  • Pedram Hassanzadeh
November 4, 2022
IMSI
Sampling Strategies for Training Machine Learning Emulators of Gravity Wave Thumbnail

Sampling Strategies for Training Machine Learning Emulators of Gravity Wave

Presenter
  • Minah Yang
November 2, 2022
IMSI
Deep learning for universal linear embeddings of nonlinear dynamics Thumbnail

Deep learning for universal linear embeddings of nonlinear dynamics

Presenter
  • J. Nathan Kutz
February 14, 2019
IPAM
Algorithms, Approximation, and Learning in Market and Mechanism Design: "Beyond Classical Fisher Markets: Nonconvexities and Online Allocations" Thumbnail

Algorithms, Approximation, and Learning in Market and Mechanism Design: "Beyond Classical Fisher Markets: Nonconvexities and Online Allocations"

Presenter
  • Yinyu Ye
November 7, 2023
SLMath
Challenges in Machine Learning Systems Thumbnail

Challenges in Machine Learning Systems

Presenter
  • Rajat Monga
November 5, 2018
IPAM
Learning from Censored and Dependent Data Thumbnail

Learning from Censored and Dependent Data

Presenter
  • Constantinos Daskalakis
March 9, 2020
IAS
Amira Abbas - On quantum backpropagation and information reuse - IPAM at UCLA Thumbnail

Amira Abbas - On quantum backpropagation and information reuse - IPAM at UCLA

Presenter
  • Amira Abbas
October 20, 2023
IPAM
Jin Peng Liu - Provably Efficient Quantum Algorithms for Nonlinear Dynamics and Machine Learning Thumbnail

Jin Peng Liu - Provably Efficient Quantum Algorithms for Nonlinear Dynamics and Machine Learning

Presenter
  • Jin-Peng Liu
October 6, 2023
IPAM
Introductory Workshop: Algorithms, Fairness, and Equity: "Estimating and Controlling for Fairness via Sensitive Attribute Predictors" Thumbnail

Introductory Workshop: Algorithms, Fairness, and Equity: "Estimating and Controlling for Fairness via Sensitive Attribute Predictors"

Presenter
  • Jeremias Sulam
August 30, 2023
SLMath
Smoothed Analysis for Tensor Decompositions and Unsupervised Learning Thumbnail

Smoothed Analysis for Tensor Decompositions and Unsupervised Learning

Presenter
  • Aravindan Vijayaraghavan
May 6, 2021
IPAM
Efficient Parallel Surrogate Methods for Global Optimization of Computationally Expensive Multimodal Models Thumbnail

Efficient Parallel Surrogate Methods for Global Optimization of Computationally Expensive Multimodal Models

Presenter
  • Christine Shoemaker
October 31, 2017
IPAM