Low-Rank Solution of Unsteady Diffusion Equations with Stochastic Coefficients. - Peter Benner; Akwum Onwunta; Martin Stoll (SIAM/ASA J. Uncertain. Quantification, 2015)

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)

A Low-Rank Inexact Newton-Krylov Method for Stochastic Eigenvalue Problems. - Peter Benner; Akwum Onwunta; Martin Stoll (Comput. Methods Appl. Math., 2019)

Reduced-order modeling for nonlinear Bayesian statistical inverse problems. - Howard C. Elman; Akwum Onwunta (CoRR, 2019)

Novel Deep neural networks for solving Bayesian statistical inverse. - Harbir Antil; Howard C. Elman; Akwum Onwunta; Deepanshu Verma (CoRR, 2021)

Optimal Control, Numerics, and Applications of Fractional PDEs. - Harbir Antil; Thomas S. Brown; Ratna Khatri; Akwum Onwunta; Deepanshu Verma; Mahamadi Warma (CoRR, 2021)

State-constrained Optimization Problems under Uncertainty: A Tensor Train Approach. - Harbir Antil; Sergey Dolgov; Akwum Onwunta (CoRR, 2023)

TTRISK: Tensor train decomposition algorithm for risk averse optimization. - Harbir Antil; Sergey Dolgov; Akwum Onwunta (Numer. Linear Algebra Appl., 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., 2023)

Efficient Score Matching with Deep Equilibrium Layers. - Yuhao Huang; Qingsong Wang; Akwum Onwunta; Bao Wang (ICLR, 2024)

Fast-forwarding quantum algorithms for linear dissipative differential equations. - Dong An; Akwum Onwunta; Gengzhi Yang (CoRR, 2024)

Tensor train solution to uncertain optimization problems with shared sparsity penalty. - Harbir Antil; Sergey Dolgov; Akwum Onwunta (CoRR, 2024)

Deep Nonnegative Matrix Factorization With Beta Divergences. - Valentin Leplat; Le Thi Khanh Hien; Akwum Onwunta; Nicolas Gillis (Neural Comput., 2024)

Complexity Analysis of Regularization Methods for Implicitly Constrained Least Squares. - Akwum Onwunta; Clément W. Royer (J. Sci. Comput., 2024)

Smoothed Moreau-Yosida Tensor-Train Approximation of State-Constrained Optimization Problems Under Uncertainty. - Harbir Antil; Sergey Dolgov; Akwum Onwunta (Numer. Linear Algebra Appl., 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, 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, 2025)