Jonathan Wittmer

According to our database, Jonathan Wittmer authored at least 6 papers between 2021 and 2026.

Collaborative distances:

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

2026

A New Look at the Ensemble Kalman Filter for Inverse Problems: Duality, Non-Asymptotic Analysis and Convergence Acceleration.

C. G. Krishnanunni, Jonathan Wittmer, Tan Bui-Thanh, Quoc P. Nguyen

CoRR, January, 2026

2025

Aria Gen 2 Pilot Dataset.

Chen Kong, James Fort, Aria Kang, Jonathan Wittmer, Simon Green, Tianwei Shen, Yipu Zhao, Cheng Peng, Gustavo Solaira, Andrew Berkovich, Nikhil Raina, Vijay Baiyya, Evgeniy Oleinik, Eric Huang, Fan Zhang, Julian Straub, Mark Schwesinger, Luis Pesqueira, Xiaqing Pan, Jakob Julian Engel, Carl Yuheng Ren, Mingfei Yan, Richard A. Newcombe

CoRR, October, 2025

2023

An autoencoder compression approach for accelerating large-scale inverse problems.

Jonathan Wittmer, Jacob C. Badger, Hari Sundar, Tan Bui-Thanh

CoRR, 2023

On Unifying Randomized Methods For Inverse Problems.

Jonathan Wittmer, C. G. Krishnanunni, Hai Van Nguyen, Tan Bui-Thanh

CoRR, 2023

2022

DIAS: A Data-Informed Active Subspace Regularization Framework for Inverse Problems.

Hai Van Nguyen, Jonathan Wittmer, Tan Bui-Thanh

Comput., 2022

2021

Solving Bayesian Inverse Problems via Variational Autoencoders.

Hwan Goh, Sheroze Sheriffdeen, Jonathan Wittmer, Tan Bui-Thanh

Proceedings of the Mathematical and Scientific Machine Learning, 2021