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Machine learning-based design (of proteins, small molecules and beyond)
Presenter
- Jennifer Listgarten
July 7, 2020
IAS
Subgroup Discovery for Assessing the Domain of Applicability of Machine Learning Models
Presenter
- Chris Sutton
November 21, 2019
IPAM
Machine learning with neural networks: the importance of data structure
Presenter
- Marc Mezard
November 21, 2019
IPAM
A consistent algorithmic framework for structured machine learning
Presenter
- Lorenzo Rosasco
April 29, 2019
IPAM
Communication-Avoiding Sparse Matrix Algorithms for Large Graph and Machine Learning Problems
Presenter
- Aydin Buluç
November 28, 2018
IPAM
Quantitative Methods for High-Throughput Live Cell Imaging
Presenter
- Jens Rittscher
March 28, 2017
MBI
Thermostatic Controls for Noisy Gradient Systems and Applications to Machine Learning
Presenter
- Ben Leimkuhler
July 30, 2015
ICERM
When big networks are not enough: physics, multifidelity and kernels
Presenter
- Panos Stinis
March 24, 2024
ICERM
Predictive data science for physical systems- From model reduction to scientific machine learning
Presenter
- Karen Willcox
February 20, 2020
ICERM
Algorithm and Hardness for Kernel Matrices in Numerical Linear Algebra and Machine Learning
Presenter
- Zhao Song
February 4, 2020
IAS