Eviatar Bach

According to our database, Eviatar Bach authored at least 7 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Learning Optimal Filters Using Variational Inference.

Enoch Luk, Eviatar Bach, Ricardo Baptista, Andrew Stuart

CoRR, 2024

2023

Deep learning-enhanced ensemble-based data assimilation for high-dimensional nonlinear dynamical systems.

Ashesh Chattopadhyay, Ebrahim Nabizadeh, Eviatar Bach, Pedram Hassanzadeh

J. Comput. Phys., March, 2023

2022

EnsembleKalmanProcesses.jl: Derivative-free ensemble-based model calibration.

Oliver R. A. Dunbar, Ignacio Lopez-Gomez, Alfredo Garbuno-Iñigo, Daniel Zhengyu Huang, Eviatar Bach, Jinlong Wu

J. Open Source Softw., December, 2022

A multi-model ensemble Kalman filter for data assimilation and forecasting.

Eviatar Bach, Michael Ghil

CoRR, 2022

2021

Towards physically consistent data-driven weather forecasting: Integrating data assimilation with equivariance-preserving deep spatial transformers.

Ashesh Chattopadhyay, Mustafa Mustafa, Pedram Hassanzadeh, Eviatar Bach, Karthik Kashinath

CoRR, 2021

Proof that the Kalman gain minimizes the generalized variance.

Eviatar Bach

CoRR, 2021

2019

parasweep: A template-based utility for generating, dispatching, and post-processing of parameter sweeps.

Eviatar Bach

CoRR, 2019