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Evrim Acar - Constrained Multimodal Data Mining using Coupled Matrix and Tensor Factorizations
Presenter
- Evrim Acar
January 11, 2023
IPAM
Rama Vasudevan - Advancing Microscopy with Machine Learning: Lessons from Scanning Probe Microscopy
Presenter
- Rama Vasudevan
November 29, 2022
IPAM
Analyzing trends in precipitation patterns using Hidden Markov model stochastic weather generators
Presenter
- Chris Paciorek
October 3, 2022
IMSI
Using data-driven predictions to constrain climate model uncertainty in the time remaining until critical global warming thresholds are reached
Presenter
- Noah Diffenbaugh
September 20, 2022
IMSI
Hong Zhou - New cryoEM Programs for Studying Native Biological Complexes, in situ and in Action
Presenter
- Hong Zhou
September 15, 2022
IPAM
Paul Voyles - Data-Information-Knowledge: Material Microscopy Problems w/ Computational Solutions?
Presenter
- Paul Voyles
September 14, 2022
IPAM
Deep learning algorithm for core-collapse supernova detection
Presenter
- Irene Di Palma
December 1, 2021
IPAM
Neural networks for gravitational-wave trigger selection in single-detector periods
Presenter
- Agata Trovato
November 30, 2021
IPAM
Supervised Learning and Canonical Decomposition of Multivariate Functions (Joint work with Nikos Kargas)
Presenter
- Nikos Sidiropoulos
May 5, 2021
IPAM
Why Deep Learning Works: Heavy-Tailed Random Matrix Theory as an Example of Physics Informed Machine Learning
Presenter
- Michael Mahoney
October 14, 2019
IPAM
