Donsub Rim

According to our database, Donsub Rim authored at least 11 papers between 2018 and 2023.

Collaborative distances:

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

2023

adrt: approximate discrete Radon transform for Python.

Karl Otness, Donsub Rim

J. Open Source Softw., March, 2023

Manifold Approximations via Transported Subspaces: Model Reduction for Transport-Dominated Problems.

Donsub Rim, Benjamin Peherstorfer, Kyle T. Mandli

SIAM J. Sci. Comput., February, 2023

Hypernetwork-based Meta-Learning for Low-Rank Physics-Informed Neural Networks.

Woojin Cho, Kookjin Lee, Donsub Rim, Noseong Park

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

A range characterization of the single-quadrant ADRT.

Weilin Li, Kui Ren, Donsub Rim

Math. Comput., September, 2022

Mining Causality from Continuous-time Dynamics Models: An Application to Tsunami Forecasting.

Fan Wu, Sanghyun Hong, Donsub Rim, Noseong Park, Kookjin Lee

CoRR, 2022

2020

Depth separation for reduced deep networks in nonlinear model reduction: Distilling shock waves in nonlinear hyperbolic problems.

Donsub Rim, Luca Venturi, Joan Bruna, Benjamin Peherstorfer

CoRR, 2020

Exact and fast inversion of the approximate discrete Radon transform from partial data.

Donsub Rim

Appl. Math. Lett., 2020

2019

Exact and Fast Inversion of the Approximate Discrete Radon Transform.

Donsub Rim

CoRR, 2019

2018

Dimensional Splitting of Hyperbolic Partial Differential Equations Using the Radon Transform.

Donsub Rim

SIAM J. Sci. Comput., 2018

Transport Reversal for Model Reduction of Hyperbolic Partial Differential Equations.

Donsub Rim, Scott Moe, Randall J. LeVeque

SIAM/ASA J. Uncertain. Quantification, 2018

Displacement Interpolation Using Monotone Rearrangement.

Donsub Rim, Kyle T. Mandli

SIAM/ASA J. Uncertain. Quantification, 2018