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Paul Grigas - Offline and Online Learning for Contextual Stochastic Optimization - IPAM at UCLA
Presenter
- Paul Grigas
March 3, 2023
IPAM
Ellen Zhoung - Machine learning for determining protein structure and dynamics from cryo-EM images
Presenter
- Ellen Zhong
November 14, 2022
IPAM
Integrating Artificial Intelligence / Machine Learning with Data Assimilation - towards the initialization of subseasonal-to-seasonal (S2S) prediction
Presenter
- Steve Penny
August 23, 2021
ICERM
Multiresolution Tensor Learning for Efficient and Interpretable Spatial Analysis
Presenter
- Rose Yu
May 19, 2021
IPAM
Multi-scale modeling of materials revisited: Accelerated computing and machine learning
Presenter
- Kaushik Bhattacharya
February 15, 2021
IMSI
Iterative adaptive learning for parameter and population inference
Presenter
- Richard O'Shaughnessy
November 20, 2020
ICERM
Regularity theory and uniform convergence in the large data limit of graph Laplacian eigenvectors on random data clouds
Presenter
- Nicolas Garcia Trillos
May 7, 2020
SLMath
Machine learning-enabled enhanced sampling in biomolecular simulation and data-driven design of self-assembling photonic crystals and optoelectonic π-conjugated oligopeptides
Presenter
- Andrew Ferguson
September 9, 2019
IPAM
ALAMO: Machine learning from data and first principles
Presenter
- Nick Sahinidis
October 6, 2017
IPAM
Introduction to Topological Data Analysis and Machine Learning
Presenter
- John Harer
October 23, 2014
ICERM
Machine Learning Models for Feature Selection and Classification of Traffic Anomalies
Presenter
- Ljiljana Trajkovic
September 5, 2012
IMA
