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Deep Learning: Triangle Machine Learning Day - Machine Learning for 3D Imaging, Sayan Mukherjee
September 20, 2019
SAMSI
Enforcing Structure in Scientific Machine Learning for Computational Decision Support & Digital Twins
Presenter
- Karthik Duraisamy
March 23, 2024
ICERM
Vedran Dunjko - Exponential separations between classical and quantum learners - IPAM at UCLA
Presenter
- Vedran Dunjko
October 19, 2023
IPAM
David Bortz - Weak form SciML for Learning Models on Different Scales - IPAM at UCLA
Presenter
- David Bortz
October 7, 2025
IPAM
New Developments in Virtual-Tissue Computer Simulations of Tissues
Presenter
- James Glazier
June 15, 2023
ICERM
Blending physics and machine learning to improve climate projections
Presenter
- Laure Zanna
October 9, 2020
IMSI
Integrating Artificial Intelligence / Machine Learning with Data Assimilation - towards the initialization of subseasonal-to-seasonal (S2S) prediction
Presenter
- Steve Penny
August 23, 2021
ICERM
Quantitative Methods for High-Throughput Live Cell Imaging
Presenter
- Jens Rittscher
March 28, 2017
MBI
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
Jarrod McClean - The role of data, precomputation, and communication in a quantum learning landscape
Presenter
- Jarrod McClean
October 20, 2023
IPAM