Simultaneous single-step one-shot optimization with unsteady PDEs. - Stefanie Günther; Nicolas R. Gauger; Qiqi Wang 001 (J. Comput. Appl. Math., 2016)

A framework for simultaneous aerodynamic design optimization in the presence of chaos. - Stefanie Günther; Nicolas R. Gauger; Qiqi Wang 001 (J. Comput. Phys., 2017)

A non-intrusive parallel-in-time adjoint solver with the XBraid library. - Stefanie Günther; Nicolas R. Gauger; Jacob B. Schroder (Comput. Vis. Sci., 2018)

Multilevel Initialization for Layer-Parallel Deep Neural Network Training. - Eric C. Cyr; Stefanie Günther; Jacob B. Schroder (CoRR, 2019)

A non-intrusive parallel-in-time approach for simultaneous optimization with unsteady PDEs. - Stefanie Günther; Nicolas R. Gauger; Jacob B. Schroder (Optim. Methods Softw., 2019)

Layer-Parallel Training of Deep Residual Neural Networks. - Stefanie Günther; Lars Ruthotto; Jacob B. Schroder; Eric C. Cyr; Nicolas R. Gauger (SIAM J. Math. Data Sci., 2020)

Spline parameterization of neural network controls for deep learning. - Stefanie Günther; Will Pazner; Dongping Qi (CoRR, 2021)

Toward Parallel in Time for Chaotic Dynamical Systems. - David A. Vargas; Robert D. Falgout; Stefanie Günther; Jacob B. Schroder (CoRR, 2022)

Multigrid Reduction in Time for Chaotic Dynamical Systems. - David A. Vargas; Robert D. Falgout; Stefanie Günther; Jacob B. Schroder (SIAM J. Sci. Comput., 2023)

Towards a Quantum Algorithm for the Incompressible Nonlinear Navier-Stokes Equations. - Muralikrishnan Gopalakrishnan Meena; Yu Zhang; Weiwen Jiang; Youzuo Lin; Stefanie Günther; Xinfeng Gao (QCE, 2024)

A time-parallel multiple-shooting method for large-scale quantum optimal control. - N. Anders Petersson; Stefanie Günther; Seung Whan Chung (J. Comput. Phys., 2025)

Learning thermodynamic master equations for open quantum systems. - Peter Sentz; Stanley Nicholson; Yujin Cho; Sohail Reddy; Brendan Keith; Stefanie Günther (CoRR, 2025)