Stefanie Günther
Title
Cited by
Cited by
Year
Layer-parallel training of deep residual neural networks
S Gunther, L Ruthotto, JB Schroder, EC Cyr, NR Gauger
SIAM Journal on Mathematics of Data Science 2 (1), 1-23, 2020
562020
A non-intrusive parallel-in-time adjoint solver with the XBraid library
S Günther, NR Gauger, JB Schroder
Computing and Visualization in Science 19 (3), 85-95, 2018
172018
Simultaneous single-step one-shot optimization with unsteady PDEs
S Guenther, NR Gauger, Q Wang
Journal of Computational and Applied Mathematics 294, 12-22, 2016
172016
One-shot approaches to design optimzation
T Bosse, NR Gauger, A Griewank, S Günther, V Schulz
Trends in PDE Constrained Optimization, 43-66, 2014
172014
A non-intrusive parallel-in-time approach for simultaneous optimization with unsteady PDEs
S Günther, NR Gauger, JB Schroder
Optimization Methods and Software 34 (6), 1306-1321, 2019
152019
A framework for simultaneous aerodynamic design optimization in the presence of chaos
S Günther, NR Gauger, Q Wang
Journal of Computational Physics 328, 387-398, 2017
92017
Optimal design with bounded retardation for problems with non-separable adjoints
T Bosse, NR Gauger, A Griewank, S Günther, L Kaland, C Kratzenstein, ...
Trends in PDE Constrained Optimization, 67-84, 2014
82014
Extension of the One-shot method for optimal control with unsteady PDEs
S Günther, NR Gauger, Q Wang
Advances in Evolutionary and Deterministic Methods for Design, Optimization …, 2015
72015
Multilevel initialization for layer-parallel deep neural network training
EC Cyr, S Günther, JB Schroder
arXiv preprint arXiv:1912.08974, 2019
62019
Spline parameterization of neural network controls for deep learning
S Günther, W Pazner, D Qi
arXiv preprint arXiv:2103.00301, 2021
22021
Simultaneous Optimization with Unsteady Partial Differential Equations
S Günther
Universitätsbibliothek der RWTH Aachen, 2017
22017
Parallel-in-Time Solution of Power Systems with Unscheduled Events
S Günther, RD Falgout, P Top, CS Woodward, JB Schroder
2020 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2020
12020
Quantum Optimal Control for Pure-State Preparation Using One Initial State
S Günther, NA Petersson, JL DuBois
arXiv preprint arXiv:2106.09148, 2021
2021
IBM Open Science Price-SWAP Gate Challenge
NA Petersson, F Garcia, S Guenther, Y Choi
Lawrence Livermore National Lab.(LLNL), Livermore, CA (United States), 2021
2021
Numerical Optimal Control of Open Quantum Systems
NA Petersson, S Guenther, S Tomarken, J DuBois
Bulletin of the American Physical Society, 2021
2021
Quantum Physics without the Physics
NA Petersson, F Garcia, DEA Appelo, S Günther, Y Choi, R Vogt
arXiv preprint arXiv:2012.03865, 2020
2020
A Layer-Parallel Approach for Training Deep Neural Networks.
EC Cyr, S Guenther, L Ruthotto, JB Schroder, NR Gauger, D Ridzal
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2020
2020
Improved Neural Network Training: Layer-Parallelism Least-squares and Initialization.
EC Cyr, M Gulian, RG Patel, M Perego, NA Trask, D Ridzal, S Guenther, ...
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2019
2019
Exploiting" time-domain" parallelism to accelerate neural network training and PDE constrained optimization.
E Cyr, D Ridzal, S Guenther, L Ruthotto, JB Schroder, NR Gauger
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2019
2019
Towards Scalable Scientific Machine Learning: Motivation and an Approach.
EC Cyr, K Beckwith, C Siefert, P Sentz, L Olson, S Guenther, NR Gauger, ...
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2019
2019
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