Akwum Onwunta - RankMe

22 papers A* 1Journal 21

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Fast-forwarding quantum algorithms for linear dissipative differential equations. Quantum Dong An, Akwum Onwunta, Gengzhi Yang
2025	J	`jnl`	Convex-concave splitting for the Allen-Cahn equation leads to ϵ CoRR Patrick W. Dondl, Akwum Onwunta, Ludwig Striet, Stephan Wojtowytsch
2025	J	`jnl`	Deep learning methods for inverse problems using connections between proximal operators and Hamilton-Jacobi equations. CoRR Oluwatosin Akande, Gabriel P. Langlois, Akwum Onwunta
2025	J	`jnl`	Momentum-based minimization of the Ginzburg-Landau functional on Euclidean spaces and graphs. CoRR Oluwatosin Akande, Patrick W. Dondl, Kanan Gupta, Akwum Onwunta, Stephan Wojtowytsch
2025	J	`jnl`	Smoothed Moreau-Yosida Tensor-Train Approximation of State-Constrained Optimization Problems Under Uncertainty. Numer. Linear Algebra Appl. Harbir Antil, Sergey Dolgov, Akwum Onwunta
2025	J	`jnl`	Stochastic Galerkin Method and Hierarchical Preconditioning for PDE-constrained Optimization. CoRR Zhendong Li, Akwum Onwunta, Bedrich Sousedík
2024	J	`jnl`	Complexity Analysis of Regularization Methods for Implicitly Constrained Least Squares. J. Sci. Comput. Akwum Onwunta, Clément W. Royer
2024	J	`jnl`	Deep Nonnegative Matrix Factorization With Beta Divergences. Neural Comput. Valentin Leplat, Le Thi Khanh Hien, Akwum Onwunta, Nicolas Gillis
2024	A*	`conf`	Efficient Score Matching with Deep Equilibrium Layers. ICLR Yuhao Huang, Qingsong Wang, Akwum Onwunta, Bao Wang
2024	J	`jnl`	Fast-forwarding quantum algorithms for linear dissipative differential equations. CoRR Dong An, Akwum Onwunta, Gengzhi Yang
2024	J	`jnl`	Tensor train solution to uncertain optimization problems with shared sparsity penalty. CoRR Harbir Antil, Sergey Dolgov, Akwum Onwunta
2023	J	`jnl`	A deep neural network approach for parameterized PDEs and Bayesian inverse problems. Mach. Learn. Sci. Technol. Harbir Antil, Howard C. Elman, Akwum Onwunta, Deepanshu Verma
2023	J	`jnl`	Deep Nonnegative Matrix Factorization with Beta Divergences. CoRR Valentin Leplat, Le Thi Khanh Hien, Akwum Onwunta, Nicolas Gillis
2023	J	`jnl`	State-constrained Optimization Problems under Uncertainty: A Tensor Train Approach. CoRR Harbir Antil, Sergey Dolgov, Akwum Onwunta
2023	J	`jnl`	TTRISK: Tensor train decomposition algorithm for risk averse optimization. Numer. Linear Algebra Appl. Harbir Antil, Sergey Dolgov, Akwum Onwunta
2021	J	`jnl`	Novel Deep neural networks for solving Bayesian statistical inverse. CoRR Harbir Antil, Howard C. Elman, Akwum Onwunta, Deepanshu Verma
2021	J	`jnl`	Optimal Control, Numerics, and Applications of Fractional PDEs. CoRR Harbir Antil, Thomas S. Brown, Ratna Khatri, Akwum Onwunta, Deepanshu Verma, Mahamadi Warma
2021	J	`jnl`	TTRISK: Tensor Train Decomposition Algorithm for Risk Averse Optimization. CoRR Harbir Antil, Sergey Dolgov, Akwum Onwunta
2019	J	`jnl`	A Low-Rank Inexact Newton-Krylov Method for Stochastic Eigenvalue Problems. Comput. Methods Appl. Math. Peter Benner, Akwum Onwunta, Martin Stoll
2019	J	`jnl`	Reduced-order modeling for nonlinear Bayesian statistical inverse problems. CoRR Howard C. Elman, Akwum Onwunta
2016	J	`jnl`	Block-Diagonal Preconditioning for Optimal Control Problems Constrained by PDEs with Uncertain Inputs. SIAM J. Matrix Anal. Appl. Peter Benner, Akwum Onwunta, Martin Stoll
2015	J	`jnl`	Low-Rank Solution of Unsteady Diffusion Equations with Stochastic Coefficients. SIAM/ASA J. Uncertain. Quantification Peter Benner, Akwum Onwunta, Martin Stoll