research
∙
11/09/2022
Stabilizing Machine Learning Prediction of Dynamics: Noise and Noise-inspired Regularization
Recent work has shown that machine learning (ML) models can be trained t...
share
research
∙
02/15/2021
Using Data Assimilation to Train a Hybrid Forecast System that Combines Machine-Learning and Knowledge-Based Components
We consider the problem of data-assisted forecasting of chaotic dynamica...
research
∙
02/10/2020
Combining Machine Learning with Knowledge-Based Modeling for Scalable Forecasting and Subgrid-Scale Closure of Large, Complex, Spatiotemporal Systems
We consider the commonly encountered situation (e.g., in weather forecas...
research
∙
03/09/2018