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ORCIDNicolas R. Gauger
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- affiliation: University of Kaiserslautern, Germany
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2020 – today
- 2024
[i23]Johannes Blühdorn, Pedro Gomes, Max Aehle, Nicolas R. Gauger:
Hybrid Parallel Discrete Adjoints in SU2. CoRR abs/2405.06056 (2024)- [i22]Johannes Blühdorn, Nicolas R. Gauger:
Local Adjoints for Simultaneous Preaccumulations with Shared Inputs. CoRR abs/2405.07819 (2024) - [i21]Tobias Kortus, Ralf Keidel, Nicolas R. Gauger:
Exploring End-to-end Differentiable Neural Charged Particle Tracking - A Loss Landscape Perspective. CoRR abs/2407.13420 (2024) - 2023
- [j16]Tobias Kortus
, Ralf Keidel, Nicolas R. Gauger:
Towards Neural Charged Particle Tracking in Digital Tracking Calorimeters With Reinforcement Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 15820-15833 (2023) - [j15]Johannes Blühdorn, Max Sagebaum, Nicolas R. Gauger:
Event-Based Automatic Differentiation of OpenMP with OpDiLib. ACM Trans. Math. Softw. 49(1): 3:1-3:31 (2023) - [i20]Long Chen, Kai-Uwe Bletzinger, Nicolas R. Gauger, Yinyu Ye:
A gradient descent akin method for constrained optimization: algorithms and applications. CoRR abs/2302.11898 (2023) - [i19]Max Sagebaum, Max Aehle, Nicolas R. Gauger:
Integrating Enzyme-generated functions into CoDiPack. CoRR abs/2307.06075 (2023) - [i18]Long Chen, Jan Rottmayer, Lisa Kusch, Nicolas R. Gauger, Yinyu Ye:
Data-driven aerodynamic shape design with distributionally robust optimization approaches. CoRR abs/2310.08931 (2023) - 2022
- [c7]Raju Ram, Daniel Grünewald, Nicolas R. Gauger:
Hybrid Parallel ILU Preconditioner in Linear Solver Library GaspiLS. ISC 2022: 334-353 - [i17]Max Aehle, Johan Alme, Gergely Gábor Barnaföldi, Johannes Blühdorn, Tea Bodova, Vyacheslav Borshchov, Anthony van den Brink, Mamdouh Chaar, Viljar Eikeland, Gregory Feofilov, Christoph Garth, Nicolas R. Gauger, Georgi Genov, Ola Grøttvik, Håvard Helstrup, Sergey Igolkin, Ralf Keidel, Chinorat Kobdaj, Tobias Kortus, Viktor Leonhardt, Shruti Mehendale, Raju Ningappa Mulawade, Odd Harald Odland, George O'Neill, Gábor Papp, Thomas Peitzmann, Helge Egil Seime Pettersen, Pierluigi Piersimoni, Rohit Pochampalli, Maksym Protsenko, Max Rauch, Attiq Ur Rehman, Matthias Richter, Dieter Röhrich, Max Sagebaum, Joshua Santana, Alexander Schilling, Joao Seco, Arnon Songmoolnak, Jarle Rambo Sølie, Ganesh Tambave, Ihor Tymchuk, Kjetil Ullaland, Monika Varga-Kofarago, Lennart Volz, Boris Wagner, Steffen Wendzel, Alexander Wiebel, RenZheng Xiao, Shiming Yang, Hiroki Yokoyama, Sebastian Zillien:
Derivatives in Proton CT. CoRR abs/2202.05551 (2022) - [i16]Paula Harder, Duncan Watson-Parris, Philip Stier, Dominik Strassel, Nicolas R. Gauger, Janis Keuper:
Physics-Informed Learning of Aerosol Microphysics. CoRR abs/2207.11786 (2022) - [i15]Felix Givois, Matthias Kabel, Nicolas R. Gauger:
QFT-based Homogenization. CoRR abs/2207.12949 (2022) - [i14]Max Aehle, Johannes Blühdorn, Max Sagebaum, Nicolas R. Gauger:
Forward-Mode Automatic Differentiation of Compiled Programs. CoRR abs/2209.01895 (2022) - [i13]Max Aehle, Johannes Blühdorn, Max Sagebaum, Nicolas R. Gauger:
Reverse-Mode Automatic Differentiation of Compiled Programs. CoRR abs/2212.13760 (2022) - 2021
- [c6]Raju Ram, Daniel Grünewald, Nicolas R. Gauger:
Scalable Hybrid Parallel ILU Preconditioner to Solve Sparse Linear Systems. Euro-Par Workshops 2021: 540-544 - [i12]Johannes Blühdorn, Max Sagebaum, Nicolas R. Gauger:
Event-Based Automatic Differentiation of OpenMP with OpDiLib. CoRR abs/2102.11572 (2021) - [i11]Paula Harder, Duncan Watson-Parris, Dominik Strassel, Nicolas R. Gauger, Philip Stier, Janis Keuper:
Emulating Aerosol Microphysics with Machine Learning. CoRR abs/2109.10593 (2021) - [i10]Thomas Dick, Stephan Schmidt, Nicolas R. Gauger:
Combining Sobolev Smoothing with Parameterized Shape Optimization. CoRR abs/2109.15279 (2021) - 2020
- [j14]Stefanie Günther, Lars Ruthotto, Jacob B. Schroder, Eric C. Cyr, Nicolas R. Gauger:
Layer-Parallel Training of Deep Residual Neural Networks. SIAM J. Math. Data Sci. 2(1): 1-23 (2020) - [i9]Raju Ram, Sabine Müller, Franz-Josef Pfreundt, Nicolas R. Gauger, Janis Keuper:
Scalable Hyperparameter Optimization with Lazy Gaussian Processes. CoRR abs/2001.05726 (2020) - [i8]Johannes Blühdorn, Nicolas R. Gauger, Matthias Kabel:
AutoMat - Automatic Differentiation for Generalized Standard Materials on GPUs. CoRR abs/2006.04391 (2020) - [i7]Max Sagebaum, Johannes Blühdorn, Nicolas R. Gauger:
Index handling and assign optimization for Algorithmic Differentiation reuse index managers. CoRR abs/2006.12992 (2020) - [i6]Rocco Bombardieri, Rauno Cavallaro, Ruben Sanchez, Nicolas R. Gauger:
Aerostructural Wing Shape Optimization assisted by Algorithmic Differentiation. CoRR abs/2009.12669 (2020)
2010 – 2019
- 2019
- [j13]Marc Schwalbach, Tom Verstraete, Nicolas R. Gauger:
Discrete adjoint gradient evaluations for linear stress and vibration analysis. Comput. Vis. Sci. 21(1-6): 23-31 (2019) - [j12]Stefanie Günther, Nicolas R. Gauger, Jacob B. Schroder:
A non-intrusive parallel-in-time approach for simultaneous optimization with unsteady PDEs. Optim. Methods Softw. 34(6): 1306-1321 (2019) - [j11]Max Sagebaum, Tim Albring, Nicolas R. Gauger:
High-Performance Derivative Computations using CoDiPack. ACM Trans. Math. Softw. 45(4): 38:1-38:26 (2019) - [c5]Raju Ram, Sabine Müller, Franz-Josef Pfreundt, Nicolas R. Gauger, Janis Keuper:
Scalable Hyperparameter Optimization with Lazy Gaussian Processes. MLHPC@SC 2019: 56-65 - [c4]Avraam Chatzimichailidis, Janis Keuper, Franz-Josef Pfreundt, Nicolas R. Gauger:
GradVis: Visualization and Second Order Analysis of Optimization Surfaces during the Training of Deep Neural Networks. MLHPC@SC 2019: 66-74 - [i5]Avraam Chatzimichailidis, Franz-Josef Pfreundt, Nicolas R. Gauger, Janis Keuper:
GradVis: Visualization and Second Order Analysis of Optimization Surfaces during the Training of Deep Neural Networks. CoRR abs/1909.12108 (2019) - 2018
- [j10]Stefanie Günther, Nicolas R. Gauger, Jacob B. Schroder:
A non-intrusive parallel-in-time adjoint solver with the XBraid library. Comput. Vis. Sci. 19(3-4): 85-95 (2018) - [j9]Lisa Kusch, Tim Albring, Andrea Walther, Nicolas R. Gauger:
A one-shot optimization framework with additional equality constraints applied to multi-objective aerodynamic shape optimization. Optim. Methods Softw. 33(4-6): 694-707 (2018) - [j8]Alexander Hück, Christian H. Bischof, Max Sagebaum, Nicolas R. Gauger, Benjamin Jurgelucks, Eric Y. Larour, Gilberto Perez:
A usability case study of algorithmic differentiation tools on the ISSM ice sheet model. Optim. Methods Softw. 33(4-6): 844-867 (2018) - [j7]Max Sagebaum, Tim Albring, Nicolas R. Gauger:
Expression templates for primal value taping in the reverse mode of algorithmic differentiation. Optim. Methods Softw. 33(4-6): 1207-1231 (2018) - [i4]Max Sagebaum, Nicolas R. Gauger:
Algorithmic Differentiation for Domain Specific Languages. CoRR abs/1803.04154 (2018) - [i3]Stefanie Günther, Lars Ruthotto, Jacob B. Schroder, Eric C. Cyr, Nicolas R. Gauger:
Layer-Parallel Training of Deep Residual Neural Networks. CoRR abs/1812.04352 (2018) - 2017
- [j6]Stefanie Günther, Nicolas R. Gauger, Qiqi Wang:
A framework for simultaneous aerodynamic design optimization in the presence of chaos. J. Comput. Phys. 328: 387-398 (2017) - [j5]Maarten Blommaert, Wouter Dekeyser, Martine Baelmans, Nicolas R. Gauger, Detlev Reiter:
A practical globalization of one-shot optimization for optimal design of tokamak divertors. J. Comput. Phys. 328: 399-412 (2017) - [i2]Max Sagebaum, Tim Albring, Nicolas R. Gauger:
High-Performance Derivative Computations using CoDiPack. CoRR abs/1709.07229 (2017) - 2016
- [j4]Stefanie Günther, Nicolas R. Gauger, Qiqi Wang:
Simultaneous single-step one-shot optimization with unsteady PDEs. J. Comput. Appl. Math. 294: 12-22 (2016) - [j3]Matthias Sonntag, Stephan Schmidt, Nicolas R. Gauger:
Shape derivatives for the compressible Navier-Stokes equations in variational form. J. Comput. Appl. Math. 296: 334-351 (2016) - [j2]Andrea Walther, Nicolas R. Gauger, Lisa Kusch, Natalie Richert:
On an extension of one-shot methods to incorporate additional constraints. Optim. Methods Softw. 31(3): 494-510 (2016) - 2014
- [j1]Lena Kaland, Juan Carlos de los Reyes, Nicolas R. Gauger:
One-shot methods in function space for PDE-constrained optimal control problems. Optim. Methods Softw. 29(2): 376-405 (2014) - [i1]Nicolas R. Gauger, Michael B. Giles, Max D. Gunzburger, Uwe Naumann:
Adjoint Methods in Computational Science, Engineering, and Finance (Dagstuhl Seminar 14371). Dagstuhl Reports 4(9): 1-29 (2014) - 2013
- [c3]Max Sagebaum, Nicolas R. Gauger, Uwe Naumann, Johannes Lotz, Klaus Leppkes:
Algorithmic Differentiation of a Complex C++ Code with Underlying Libraries. ICCS 2013: 208-217 - 2012
- [p2]Nicolas R. Gauger, Andreas Griewank, Adel Hamdi, Claudia Kratzenstein, Emre Özkaya, Thomas Slawig:
Automated Extension of Fixed Point PDE Solvers for Optimal Design with Bounded Retardation. Constrained Optimization and Optimal Control for Partial Differential Equations 2012: 99-122 - [p1]Nicolas R. Gauger, Caslav Ilic, Stephan Schmidt, Volker Schulz:
Non-parametric Aerodynamic Shape Optimization. Constrained Optimization and Optimal Control for Partial Differential Equations 2012: 289-300 - 2011
- [c2]Angelo Carnarius, Frank Thiele, Emre Özkaya, Anil Nemili, Nicolas R. Gauger:
Optimal Control of Unsteady Flows Using a Discrete and a Continuous Adjoint Approach. System Modelling and Optimization 2011: 318-327
2000 – 2009
- 2006
- [c1]Sebastian Schlenkrich, Andrea Walther, Nicolas R. Gauger, Ralf Heinrich:
Differentiating Fixed Point Iterations with ADOL-C: Gradient Calculation for Fluid Dynamics. HPSC 2006: 499-508
Coauthor Index
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