Akwum Onwunta

According to our database, Akwum Onwunta authored at least 21 papers between 2015 and 2026.

Collaborative distances:

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

2026

Supervised Deep Multimodal Matrix Factorization for Interpretable Brain Network Analysis.

Amjad Seyedi, Lifang He, Songlin Zhao, Akwum Onwunta, Nicolas Gillis

CoRR, May, 2026

Fast-forwarding quantum algorithms for linear dissipative differential equations.

Dong An, Akwum Onwunta, Gengzhi Yang

Quantum, 2026

Convex-concave splitting for the Allen-Cahn equation leads to ε2-slow movement of interfaces.

Patrick W. Dondl, Akwum Onwunta, Ludwig Striet, Stephan Wojtowytsch

J. Comput. Phys., 2026

2025

Deep learning methods for inverse problems using connections between proximal operators and Hamilton-Jacobi equations.

Oluwatosin Akande, Gabriel P. Langlois, Akwum Onwunta

CoRR, December, 2025

Stochastic Galerkin Method and Hierarchical Preconditioning for PDE-constrained Optimization.

Zhendong Li, Akwum Onwunta, Bedrich Sousedík

CoRR, December, 2025

Convex-concave splitting for the Allen-Cahn equation leads to ϵ²-slow movement of interfaces.

Patrick W. Dondl, Akwum Onwunta, Ludwig Striet, Stephan Wojtowytsch

CoRR, June, 2025

Momentum-based minimization of the Ginzburg-Landau functional on Euclidean spaces and graphs.

Oluwatosin Akande, Patrick W. Dondl, Kanan Gupta, Akwum Onwunta, Stephan Wojtowytsch

CoRR, January, 2025

Smoothed Moreau-Yosida Tensor-Train Approximation of State-Constrained Optimization Problems Under Uncertainty.

Harbir Antil, Sergey Dolgov, Akwum Onwunta

Numer. Linear Algebra Appl., 2025

2024

Complexity Analysis of Regularization Methods for Implicitly Constrained Least Squares.

Akwum Onwunta, Clément W. Royer

J. Sci. Comput., December, 2024

Deep Nonnegative Matrix Factorization With Beta Divergences.

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

Neural Comput., 2024

Tensor train solution to uncertain optimization problems with shared sparsity penalty.

Harbir Antil, Sergey Dolgov, Akwum Onwunta

CoRR, 2024

Efficient Score Matching with Deep Equilibrium Layers.

Yuhao Huang, Qingsong Wang, Akwum Onwunta, Bao Wang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

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

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