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Probabilistic forecast of extreme heat waves using convolutional neural networks and rare event simulations
Presenter
- Freddy Bouchet
November 2, 2022
IMSI
Sampling Strategies for Training Machine Learning Emulators of Gravity Wave
Presenter
- Minah Yang
November 2, 2022
IMSI
Building Digital Twins of the Earth for NVIDIA’s Earth-2 Initiative
Presenter
- Karthik Kashinath
November 2, 2022
IMSI
Using data-informed methods towards an improved understanding and representation of atmospheric gravity waves
Presenter
- Aditi Sheshadri
November 1, 2022
IMSI
Explainable AI (XAI) for Climate Science: Detection, Prediction and Discovery
Presenter
- Elizabeth Barnes
October 31, 2022
IMSI
Using autoencoders as generative models to create forecast ensembles for data assimilation
Presenter
- Ian Grooms
October 31, 2022
IMSI
Accelerated Parametric Uncertainty Quantification and Optimal Data Acquisition in an Idealized Global Atmosphere Model
Presenter
- Oliver Dunbar
October 31, 2022
IMSI
Michael Scherbela - High accuracy wavefunctions using deep-learning-based variational Monte Carlo
Presenter
- Michael Scherbela
May 27, 2022
IPAM
Julia Westermayr - Physically inspired machine learning for excited states
Presenter
- Julia Westermayr
May 27, 2022
IPAM
Ilyes Batatia - Unified understanding of E(3)-Equivariant Interatomic Potentials Theory/Applications
Presenter
- Ilyes Batatia
May 27, 2022
IPAM
Matthew Foulkes - Approximating Many-Electron Wave Functions using Neural Networks
Presenter
- Matthew Foulkes
May 26, 2022
IPAM