Integrating the spectral analysis of neural networks and nonlinear physics for explainability, generalizability, and stability

Pedram Hassanzadeh
November 4, 2022

Statistical reduced-order models and data-driven closure strategies for turbulent systems

Di Qi
November 4, 2022

Systematically Generating Hierarchies of Machine-Learning Models, from Equation Discovery to Deep Neural Networks

Tom Beucler
November 4, 2022

Revealing the statistics of extreme events hidden in short weather forecast data

Justin Finkel
November 3, 2022

High-resolution climate modeling using coarse-scale models and reanalysis data

Themistoklis Sapsis
November 3, 2022

Neural-network parameterization of subgrid momentum transport learned from a high-resolution simulation

Janni Yuval
November 3, 2022

Probabilistic forecast of extreme heat waves using convolutional neural networks and rare event simulations

Freddy Bouchet
November 2, 2022

Extracting climate cycles from spatiotemporal data and detecting emergence and disappearance of coherent phenomena across multiple dynamic regimes

Gary Froyland
November 2, 2022

Building Digital Twins of the Earth for NVIDIA’s Earth-2 Initiative

Karthik Kashinath
November 2, 2022