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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"
Presenter
- Yinyu Ye
November 7, 2023
SLMath
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
Presenter
- Jin-Peng Liu
October 6, 2023
IPAM
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
Presenter
- Aravindan Vijayaraghavan
May 6, 2021
IPAM
Efficient Parallel Surrogate Methods for Global Optimization of Computationally Expensive Multimodal Models
Presenter
- Christine Shoemaker
October 31, 2017
IPAM
Kevin Kelly - Machine Learning Enhanced Compressive Hyperspectral Imaging - IPAM at UCLA
Presenter
- Kevin Kelly
December 2, 2022
IPAM
Deep Learning of dynamical systems for mechanistic insight and prediction in psychiatry
Presenter
- Daniel Durstewitz
February 18, 2020
IPAM
Hidden Physics Models: Machine Learning of Non-Linear Partial Differential Equations
Presenter
- Maziar Raissi
October 29, 2019
IPAM