Akwum Onwunta

According to our database, Akwum Onwunta authored at least 10 papers between 2015 and 2023.

Collaborative distances:

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

2023

A deep neural network approach for parameterized PDEs and Bayesian inverse problems.

Harbir Antil, Howard C. Elman, Akwum Onwunta, Deepanshu Verma

Mach. Learn. Sci. Technol., September, 2023

TTRISK: Tensor train decomposition algorithm for risk averse optimization.

Harbir Antil, Sergey Dolgov, Akwum Onwunta

Numer. Linear Algebra Appl., May, 2023

Deep Nonnegative Matrix Factorization with Beta Divergences.

Valentin Leplat, Le Thi Khanh Hien, Akwum Onwunta, Nicolas Gillis

CoRR, 2023

State-constrained Optimization Problems under Uncertainty: A Tensor Train Approach.

Harbir Antil, Sergey Dolgov, Akwum Onwunta

CoRR, 2023

2021

Optimal Control, Numerics, and Applications of Fractional PDEs.

Harbir Antil, Thomas S. Brown, Ratna Khatri, Akwum Onwunta, Deepanshu Verma, Mahamadi Warma

CoRR, 2021

Novel Deep neural networks for solving Bayesian statistical inverse.

Harbir Antil, Howard C. Elman, Akwum Onwunta, Deepanshu Verma

CoRR, 2021

2019

Reduced-order modeling for nonlinear Bayesian statistical inverse problems.

Howard C. Elman, Akwum Onwunta

CoRR, 2019

A Low-Rank Inexact Newton-Krylov Method for Stochastic Eigenvalue Problems.

Peter Benner, Akwum Onwunta, Martin Stoll

Comput. Methods Appl. Math., 2019

2016

Block-Diagonal Preconditioning for Optimal Control Problems Constrained by PDEs with Uncertain Inputs.

Peter Benner, Akwum Onwunta, Martin Stoll

SIAM J. Matrix Anal. Appl., 2016

2015

Low-Rank Solution of Unsteady Diffusion Equations with Stochastic Coefficients.

Peter Benner, Akwum Onwunta, Martin Stoll

SIAM/ASA J. Uncertain. Quantification, 2015