Nicolas R. Gauger

61 papers C 1Misc 2Journal 52Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Algorithmic differentiation for domain specific languages in C++ with expression templates.
CoRR
Max Sagebaum, Nicolas R. Gauger
2026 J jnl
Parameter conditioned interpretable U-Net surrogate model for data-driven predictions of convection-diffusion-reaction processes.
CoRR
Michael Urs Lars Kastor, Jan Rottmayer, Anna Hundertmark, Nicolas R. Gauger
2026 J jnl
Stochastic Dynamical Low-Rank Approximation in the Context of Machine Learning.
J. Optim. Theory Appl.
Arsen Hnatiuk, Jonas Kusch, Lisa Kusch, Nicolas R. Gauger, Andrea Walther
2025 J jnl
Adding complex numbers to expression template algorithmic differentiation tools.
CoRR
Max Sagebaum, Nicolas R. Gauger
2025 J jnl
Adjoint-Based Aerodynamic Shape Optimization with a Manifold Constraint Learned by Diffusion Models.
CoRR
Long Chen, Emre Özkaya, Jan Rottmayer, Nicolas R. Gauger, Zebang Shen, Yinyu Ye
2025 J jnl
Artificial Intelligence in Science and Society: The Vision of USERN.
IEEE Access
Tommaso Dorigo, Gary D. Brown, Carlo Casonato, Artemi Cerdà, Joseph Ciarrochi, Mauro Da Lio, Nicole D'Souza, Nicolas R. Gauger, Steven C. Hayes, Stefan G. Hofmann, Robert Johansson, Marcus Liwicki, Fabien Lotte, Juan J. Nieto, Giulia Olivato, Peter Parnes, George Perry, Alice Plebe, Idupulapati M. Rao, Nima Rezaei, Fredrik Sandin, Andrey Ustyuzhanin, Giorgio Vallortigara, Pietro Vischia, Niloufar Yazdanpanah
2025 J jnl
Constrained Optimization of Charged Particle Tracking with Multi-Agent Reinforcement Learning.
CoRR
Tobias Kortus, Ralf Keidel, Nicolas R. Gauger, Jan Kieseler
2025 J jnl
Exploring End-to-end Differentiable Neural Charged Particle Tracking - A Loss Landscape Perspective.
Trans. Mach. Learn. Res.
Tobias Kortus, Ralf Keidel, Nicolas R. Gauger
2025 J jnl
Forward-Mode Automatic Differentiation of Compiled Programs.
ACM Trans. Math. Softw.
Max Aehle, Johannes Blühdorn, Max Sagebaum, Nicolas R. Gauger
2025 J jnl
Neuromorphic Readout for Hadron Calorimeters.
CoRR
Enrico Lupi, Abhishek, Max Aehle, Muhammad Awais, Alessandro Breccia, Riccardo Carroccio, Long Chen, Abhijit Das, Andrea De Vita, Tommaso Dorigo, Nicolas R. Gauger, Ralf Keidel, Jan Kieseler, Anders Mikkelsen, Federico Nardi, Xuan Tung Nguyen, Fredrik Sandin, Kylian Schmidt, Pietro Vischia, Joseph Willmore
2025 J jnl
Optimization using pathwise algorithmic derivatives of electromagnetic shower simulations.
Comput. Phys. Commun.
Max Aehle, Mihály Novák, Vassil Vassilev, Nicolas R. Gauger, Lukas Heinrich, Michael Kagan, David J. Lange
2025 J jnl
Refined stability estimates for mixed problems by exploiting semi norm arguments.
CoRR
Nicolas R. Gauger, Alexander Linke, Christian Merdon
2024 J jnl
Exploring End-to-end Differentiable Neural Charged Particle Tracking - A Loss Landscape Perspective.
CoRR
Tobias Kortus, Ralf Keidel, Nicolas R. Gauger
2024 J jnl
Hybrid Parallel Discrete Adjoints in SU2.
CoRR
Johannes Blühdorn, Pedro Gomes, Max Aehle, Nicolas R. Gauger
2024 J jnl
Local Adjoints for Simultaneous Preaccumulations with Shared Inputs.
CoRR
Johannes Blühdorn, Nicolas R. Gauger
2024 J jnl
Windowing Regularization Techniques for Unsteady Aerodynamic Shape Optimization.
CoRR
Steffen Schotthöfer, Beckett Y. Zhou, Tim Albring, Nicolas R. Gauger
2023 J jnl
A gradient descent akin method for constrained optimization: algorithms and applications.
CoRR
Long Chen, Kai-Uwe Bletzinger, Nicolas R. Gauger, Yinyu Ye
2023 J jnl
Data-driven aerodynamic shape design with distributionally robust optimization approaches.
CoRR
Long Chen, Jan Rottmayer, Lisa Kusch, Nicolas R. Gauger, Yinyu Ye
2023 J jnl
Event-Based Automatic Differentiation of OpenMP with OpDiLib.
ACM Trans. Math. Softw.
Johannes Blühdorn, Max Sagebaum, Nicolas R. Gauger
2023 J jnl
Integrating Enzyme-generated functions into CoDiPack.
CoRR
Max Sagebaum, Max Aehle, Nicolas R. Gauger
2023 J jnl
Towards Neural Charged Particle Tracking in Digital Tracking Calorimeters With Reinforcement Learning.
IEEE Trans. Pattern Anal. Mach. Intell.
Tobias Kortus, Ralf Keidel, Nicolas R. Gauger
2022 J jnl
Derivatives in Proton CT.
CoRR
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
2022 J jnl
Forward-Mode Automatic Differentiation of Compiled Programs.
CoRR
Max Aehle, Johannes Blühdorn, Max Sagebaum, Nicolas R. Gauger
2022 C conf
Hybrid Parallel ILU Preconditioner in Linear Solver Library GaspiLS.
ISC
Raju Ram, Daniel Grünewald, Nicolas R. Gauger
2022 J jnl
Physics-Informed Learning of Aerosol Microphysics.
CoRR
Paula Harder, Duncan Watson-Parris, Philip Stier, Dominik Strassel, Nicolas R. Gauger, Janis Keuper
2022 J jnl
QFT-based Homogenization.
CoRR
Felix Givois, Matthias Kabel, Nicolas R. Gauger
2022 J jnl
Reverse-Mode Automatic Differentiation of Compiled Programs.
CoRR
Max Aehle, Johannes Blühdorn, Max Sagebaum, Nicolas R. Gauger
2021 J jnl
Combining Sobolev Smoothing with Parameterized Shape Optimization.
CoRR
Thomas Dick, Stephan Schmidt, Nicolas R. Gauger
2021 J jnl
Emulating Aerosol Microphysics with Machine Learning.
CoRR
Paula Harder, Duncan Watson-Parris, Dominik Strassel, Nicolas R. Gauger, Philip Stier, Janis Keuper
2021 J jnl
Event-Based Automatic Differentiation of OpenMP with OpDiLib.
CoRR
Johannes Blühdorn, Max Sagebaum, Nicolas R. Gauger
2021 — conf
Scalable Hybrid Parallel ILU Preconditioner to Solve Sparse Linear Systems.
Euro-Par Workshops
Raju Ram, Daniel Grünewald, Nicolas R. Gauger
2020 J jnl
Aerostructural Wing Shape Optimization assisted by Algorithmic Differentiation.
CoRR
Rocco Bombardieri, Rauno Cavallaro, Ruben Sanchez, Nicolas R. Gauger
2020 J jnl
AutoMat - Automatic Differentiation for Generalized Standard Materials on GPUs.
CoRR
Johannes Blühdorn, Nicolas R. Gauger, Matthias Kabel
2020 J jnl
Index handling and assign optimization for Algorithmic Differentiation reuse index managers.
CoRR
Max Sagebaum, Johannes Blühdorn, Nicolas R. Gauger
2020 J jnl
Layer-Parallel Training of Deep Residual Neural Networks.
SIAM J. Math. Data Sci.
Stefanie Günther, Lars Ruthotto, Jacob B. Schroder, Eric C. Cyr, Nicolas R. Gauger
2020 J jnl
Scalable Hyperparameter Optimization with Lazy Gaussian Processes.
CoRR
Raju Ram, Sabine Müller, Franz-Josef Pfreundt, Nicolas R. Gauger, Janis Keuper
2019 J jnl
A non-intrusive parallel-in-time approach for simultaneous optimization with unsteady PDEs.
Optim. Methods Softw.
Stefanie Günther, Nicolas R. Gauger, Jacob B. Schroder
2019 J jnl
Discrete adjoint gradient evaluations for linear stress and vibration analysis.
Comput. Vis. Sci.
Marc Schwalbach, Tom Verstraete, Nicolas R. Gauger
2019 — conf
GradVis: Visualization and Second Order Analysis of Optimization Surfaces during the Training of Deep Neural Networks.
MLHPC@SC
Avraam Chatzimichailidis, Janis Keuper, Franz-Josef Pfreundt, Nicolas R. Gauger
2019 J jnl
GradVis: Visualization and Second Order Analysis of Optimization Surfaces during the Training of Deep Neural Networks.
CoRR
Avraam Chatzimichailidis, Franz-Josef Pfreundt, Nicolas R. Gauger, Janis Keuper
2019 J jnl
High-Performance Derivative Computations using CoDiPack.
ACM Trans. Math. Softw.
Max Sagebaum, Tim Albring, Nicolas R. Gauger
2019 — conf
Scalable Hyperparameter Optimization with Lazy Gaussian Processes.
MLHPC@SC
Raju Ram, Sabine Müller, Franz-Josef Pfreundt, Nicolas R. Gauger, Janis Keuper
2018 J jnl
A non-intrusive parallel-in-time adjoint solver with the XBraid library.
Comput. Vis. Sci.
Stefanie Günther, Nicolas R. Gauger, Jacob B. Schroder
2018 J jnl
A one-shot optimization framework with additional equality constraints applied to multi-objective aerodynamic shape optimization.
Optim. Methods Softw.
Lisa Kusch, Tim Albring, Andrea Walther, Nicolas R. Gauger
2018 J jnl
A usability case study of algorithmic differentiation tools on the ISSM ice sheet model.
Optim. Methods Softw.
Alexander Hück, Christian H. Bischof, Max Sagebaum, Nicolas R. Gauger, Benjamin Jurgelucks, Eric Y. Larour, Gilberto Perez
2018 J jnl
Algorithmic Differentiation for Domain Specific Languages.
CoRR
Max Sagebaum, Nicolas R. Gauger
2018 J jnl
Expression templates for primal value taping in the reverse mode of algorithmic differentiation.
Optim. Methods Softw.
Max Sagebaum, Tim Albring, Nicolas R. Gauger
2018 J jnl
Layer-Parallel Training of Deep Residual Neural Networks.
CoRR
Stefanie Günther, Lars Ruthotto, Jacob B. Schroder, Eric C. Cyr, Nicolas R. Gauger
2017 J jnl
A framework for simultaneous aerodynamic design optimization in the presence of chaos.
J. Comput. Phys.
Stefanie Günther, Nicolas R. Gauger, Qiqi Wang
2017 J jnl
A practical globalization of one-shot optimization for optimal design of tokamak divertors.
J. Comput. Phys.
Maarten Blommaert, Wouter Dekeyser, Martine Baelmans, Nicolas R. Gauger, Detlev Reiter
2017 J jnl
High-Performance Derivative Computations using CoDiPack.
CoRR
Max Sagebaum, Tim Albring, Nicolas R. Gauger
2016 J jnl
On an extension of one-shot methods to incorporate additional constraints.
Optim. Methods Softw.
Andrea Walther, Nicolas R. Gauger, Lisa Kusch, Natalie Richert
2016 J jnl
Shape derivatives for the compressible Navier-Stokes equations in variational form.
J. Comput. Appl. Math.
Matthias Sonntag, Stephan Schmidt, Nicolas R. Gauger
2016 J jnl
Simultaneous single-step one-shot optimization with unsteady PDEs.
J. Comput. Appl. Math.
Stefanie Günther, Nicolas R. Gauger, Qiqi Wang
2014 J jnl
Adjoint Methods in Computational Science, Engineering, and Finance (Dagstuhl Seminar 14371).
Dagstuhl Reports
Nicolas R. Gauger, Michael B. Giles, Max D. Gunzburger, Uwe Naumann
2014 J jnl
One-shot methods in function space for PDE-constrained optimal control problems.
Optim. Methods Softw.
Lena Kaland, Juan Carlos de los Reyes, Nicolas R. Gauger
2013 Misc conf
Algorithmic Differentiation of a Complex C++ Code with Underlying Libraries.
ICCS
Max Sagebaum, Nicolas R. Gauger, Uwe Naumann, Johannes Lotz, Klaus Leppkes
2012 — ch.
Automated Extension of Fixed Point PDE Solvers for Optimal Design with Bounded Retardation.
Constrained Optimization and Optimal Control for Partial Differential Equations
Nicolas R. Gauger, Andreas Griewank, Adel Hamdi, Claudia Kratzenstein, Emre Özkaya, Thomas Slawig
2012 — ch.
Non-parametric Aerodynamic Shape Optimization.
Constrained Optimization and Optimal Control for Partial Differential Equations
Nicolas R. Gauger, Caslav Ilic, Stephan Schmidt, Volker Schulz
2011 — conf
Optimal Control of Unsteady Flows Using a Discrete and a Continuous Adjoint Approach.
System Modelling and Optimization
Angelo Carnarius, Frank Thiele, Emre Özkaya, Anil Nemili, Nicolas R. Gauger
2006 Misc conf
Differentiating Fixed Point Iterations with ADOL-C: Gradient Calculation for Fluid Dynamics.
HPSC
Sebastian Schlenkrich, Andrea Walther, Nicolas R. Gauger, Ralf Heinrich