Ruanui Nicholson

According to our database, Ruanui Nicholson authored at least 8 papers between 2019 and 2026.

Collaborative distances:

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

2026

Shape Derivative-Informed Neural Operators with Application to Risk-Averse Shape Optimization.

Xindi Gong, Dingcheng Luo, Thomas O'Leary-Roseberry, Ruanui Nicholson, Omar Ghattas

CoRR, March, 2026

2025

Taylor Approximation Variance Reduction for Approximation Errors in PDE-constrained Bayesian Inverse Problems.

Ruanui Nicholson, Radoslav Vuchkov, Umberto Villa, Noemi Petra

CoRR, December, 2025

Non-intrusive optimal experimental design for large-scale nonlinear Bayesian inverse problems using a Bayesian approximation error approach.

Karina Koval, Ruanui Nicholson

J. Sci. Comput., September, 2025

Data space inversion for efficient predictions and uncertainty quantification for geothermal models.

Alex de Beer, Andrew Power, Daniel Wong, Ken Dekkers, Michael Gravatt, Elvar K. Bjarkason, John P. O'Sullivan, Michael J. O'Sullivan, Oliver J. Maclaren, Ruanui Nicholson

Comput. Geosci., 2025

2023

Improved Electrical Impedance Tomography Reconstruction via a Bayesian Approach With an Anatomical Statistical Shape Model.

Mitchell I. Page, Ruanui Nicholson, Merryn H. Tawhai, Alys R. Clark, Haribalan Kumar

IEEE Trans. Biomed. Eng., August, 2023

2022

Optimal design of large-scale nonlinear Bayesian inverse problems under model uncertainty.

Alen Alexanderian, Ruanui Nicholson, Noemi Petra

CoRR, 2022

2020

An Additive Approximation to Multiplicative Noise.

Ruanui Nicholson, Jari P. Kaipio

J. Math. Imaging Vis., 2020

2019

What can be estimated? Identifiability, estimability, causal inference and ill-posed inverse problems.

Oliver J. Maclaren, Ruanui Nicholson

CoRR, 2019