Start date cannot be after end date.
Convolutional autoencoders and LSTMs - using deep learning to overcome Kolmogorov-width limitations and accurately model errors in nonlinear model reduction
Presenter
- Kevin Carlberg
February 21, 2020
ICERM
Nonlinear reduced-order modeling - Using machine learning to enable extreme-scale simulation for many-query problems
Presenter
- Kevin Carlberg
January 29, 2019
ICERM
Convective Turing bifurcation with conservation laws, and applications to modern biomorphology
Presenter
- Kevin Zumbrun
January 23, 2025
ICERM
Kevin Ellis - Probabilistic Thinking in Language and Code - IPAM at UCLA
Presenter
- Kevin Ellis
November 7, 2024
IPAM
Estimating Rare Event Probabilities in Reflecting Brownian Motion
Presenter
- Kevin Leder
September 15, 2024
ICERM
Advances in Parallel and Private Stochastic Optimization from Ball Acceleration
Presenter
- Kevin Tian
February 12, 2024
IAS
Kevin Coulembier - Symmetric tensor categories of moderate growth - IPAM at UCLA
Presenter
- Kevin Coulembier
January 8, 2024
IPAM
Workshop: Mathematics and Computer Science of Market and Mechanism Design: "Modeling Human Strategic Behavior from a Machine Learning Perspective"
Presenter
- Kevin Leyton-Brown
September 14, 2023
SLMath
Scaling limits for growth driven by reflecting Brownian motion
Presenter
- Kevin Yang
June 28, 2023
IMSI
Kevin Kelly - Machine Learning Enhanced Compressive Hyperspectral Imaging - IPAM at UCLA
Presenter
- Kevin Kelly
December 2, 2022
IPAM
