Victor Churchill

According to our database, Victor Churchill authored at least 10 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Principal Component Flow Map Learning of PDEs from Incomplete, Limited, and Noisy Data.

Victor Churchill

CoRR, 2024

2023

DNN modeling of partial differential equations with incomplete data.

Victor Churchill, Yuan Chen, Zhongshu Xu, Dongbin Xiu

J. Comput. Phys., November, 2023

Robust modeling of unknown dynamical systems via ensemble averaged learning.

Victor Churchill, Steve Manns, Zhen Chen, Dongbin Xiu

J. Comput. Phys., February, 2023

Flow Map Learning for Unknown Dynamical Systems: Overview, Implementation, and Benchmarks.

Victor Churchill, Dongbin Xiu

CoRR, 2023

2022

Sampling-based Spotlight SAR Image Reconstruction from Phase History Data for Speckle Reduction and Uncertainty Quantification.

Victor Churchill, Anne Gelb

SIAM/ASA J. Uncertain. Quantification, March, 2022

Deep neural network modeling of unknown partial differential equations in nodal space.

Zhen Chen, Victor Churchill, Kailiang Wu, Dongbin Xiu

J. Comput. Phys., 2022

Learning Fine Scale Dynamics from Coarse Observations via Inner Recurrence.

Victor Churchill, Dongbin Xiu

CoRR, 2022

Deep Learning of Chaotic Systems from Partially-Observed Data.

Victor Churchill, Dongbin Xiu

CoRR, 2022

2019

Detecting Edges from Non-uniform Fourier Data via Sparse Bayesian Learning.

Victor Churchill, Anne Gelb

J. Sci. Comput., 2019

Use of convexity in contour detection.

Victor Churchill

CoRR, 2019