Malgorzata J. Zimon

According to our database, Malgorzata J. Zimon authored at least 10 papers between 2016 and 2026.

Collaborative distances:

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

2026

<tt>PCE-Net</tt> : High-Dimensional Surrogate Modeling for Learning Uncertainty.

Paz Fink Shustin, Shashanka Ubaru, Malgorzata J. Zimon, Songtao Lu, Vasileios Kalantzis, Lior Horesh, Haim Avron

SIAM/ASA J. Uncertain. Quantification, 2026

2025

Learning Temporally Consistent Turbulence Between Sparse Snapshots via Diffusion Models.

Mohammed Sardar, Malgorzata J. Zimon, Samuel Draycott, Alistair Revell, Alex Skillen

CoRR, December, 2025

Surrogate-based quantification of policy uncertainty in generative flow networks.

Ramón Dineth Nartallo-Kaluarachchi, Robert Manson-Sawko, Shashanka Ubaru, Dongsung Huh, Malgorzata J. Zimon, Lior Horesh, Yoshua Bengio

CoRR, October, 2025

2023

Efficient Adaptive Stochastic Collocation Strategies for Advection-Diffusion Problems with Uncertain Inputs.

Benjamin M. Kent, Catherine E. Powell, David J. Silvester, Malgorzata J. Zimon

J. Sci. Comput., September, 2023

2022

Effective Generation of Compressed Stationary Gaussian Fields.

Robert Sawko, Malgorzata J. Zimon

SIAM/ASA J. Uncertain. Quantification, 2022

Super Resolution for Turbulent Flows in 2D: Stabilized Physics Informed Neural Networks.

Mykhaylo Zayats, Malgorzata J. Zimon, Kyongmin Yeo, Sergiy Zhuk

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2019

Enabling UQ for Complex Modelling Workflows.

Malgorzata J. Zimon, Samuel Antão, Robert Sawko, Alex Skillen, Vadim V. Elisseev

Proceedings of the Computational Science - ICCS 2019, 2019

2018

Uncertainty quantification-as-a-service.

Malgorzata J. Zimon, Vadim V. Elisseev, Robert Sawko, Samuel Antão, Kirk E. Jordan

Proceedings of the 28th Annual International Conference on Computer Science and Software Engineering, 2018

2016

A novel coupling of noise reduction algorithms for particle flow simulations.

Malgorzata J. Zimon, Jason M. Reese, D. R. Emerson

J. Comput. Phys., 2016

An evaluation of noise reduction algorithms for particle-based fluid simulations in multi-scale applications.

Malgorzata J. Zimon, Robert Prosser, D. R. Emerson, Matthew K. Borg, D. J. Bray, Leopold Grinberg, Jason M. Reese

J. Comput. Phys., 2016