Eviatar Bach

According to our database, Eviatar Bach authored at least 10 papers between 2019 and 2026.

Collaborative distances:

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

2026

Learning enhanced ensemble filters.

Eviatar Bach, Ricardo Baptista, Edoardo Calvello, Bohan Chen, Andrew M. Stuart

J. Comput. Phys., 2026

2025

Nesterov acceleration for ensemble Kalman inversion and variants.

Sydney Vernon, Eviatar Bach, Oliver R. A. Dunbar

J. Comput. Phys., 2025

2024

Inverse Problems and Data Assimilation: A Machine Learning Approach.

Eviatar Bach, Ricardo Baptista, Daniel Sanz-Alonso, Andrew M. Stuart

CoRR, 2024

Learning Optimal Filters Using Variational Inference.

Enoch Luk, Eviatar Bach, Ricardo Baptista, Andrew M. 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