Differentiating Fixed Point Iterations with ADOL-C: Gradient Calculation for Fluid Dynamics. - Sebastian Schlenkrich; Andrea Walther; Nicolas R. Gauger; Ralf Heinrich (HPSC, 2006)

Optimal Control of Unsteady Flows Using a Discrete and a Continuous Adjoint Approach. - Angelo Carnarius; Frank Thiele; Emre Özkaya; Anil Nemili; Nicolas R. Gauger (System Modelling and Optimization, 2011)

Automated Extension of Fixed Point PDE Solvers for Optimal Design with Bounded Retardation. - Nicolas R. Gauger; Andreas Griewank; Adel Hamdi; Claudia Kratzenstein; Emre Özkaya; Thomas Slawig (Constrained Optimization and Optimal Control for Partial Differential Equations, 2012)

Non-parametric Aerodynamic Shape Optimization. - Nicolas R. Gauger; Caslav Ilic; Stephan Schmidt 003; Volker Schulz 001 (Constrained Optimization and Optimal Control for Partial Differential Equations, 2012)

Algorithmic Differentiation of a Complex C++ Code with Underlying Libraries. - Max Sagebaum; Nicolas R. Gauger; Uwe Naumann; Johannes Lotz 001; Klaus Leppkes (ICCS, 2013)

Adjoint Methods in Computational Science, Engineering, and Finance (Dagstuhl Seminar 14371). - Nicolas R. Gauger; Michael B. Giles; Max D. Gunzburger; Uwe Naumann (Dagstuhl Reports, 2014)

One-shot methods in function space for PDE-constrained optimal control problems. - Lena Kaland; Juan Carlos de los Reyes; Nicolas R. Gauger (Optim. Methods Softw., 2014)

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

Shape derivatives for the compressible Navier-Stokes equations in variational form. - Matthias Sonntag; Stephan Schmidt 003; Nicolas R. Gauger (J. Comput. Appl. Math., 2016)

On an extension of one-shot methods to incorporate additional constraints. - Andrea Walther; Nicolas R. Gauger; Lisa Kusch; Natalie Richert (Optim. Methods Softw., 2016)

A practical globalization of one-shot optimization for optimal design of tokamak divertors. - Maarten Blommaert; Wouter Dekeyser; Martine Baelmans; Nicolas R. Gauger; Detlev Reiter (J. Comput. Phys., 2017)

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)

Algorithmic Differentiation for Domain Specific Languages. - Max Sagebaum; Nicolas R. Gauger (CoRR, 2018)

A usability case study of algorithmic differentiation tools on the ISSM ice sheet model. - Alexander Hück; Christian H. Bischof; Max Sagebaum; Nicolas R. Gauger; Benjamin Jurgelucks; Eric Y. Larour; Gilberto Perez (Optim. Methods Softw., 2018)

A one-shot optimization framework with additional equality constraints applied to multi-objective aerodynamic shape optimization. - Lisa Kusch; Tim Albring; Andrea Walther; Nicolas R. Gauger (Optim. Methods Softw., 2018)

Expression templates for primal value taping in the reverse mode of algorithmic differentiation. - Max Sagebaum; Tim Albring; Nicolas R. Gauger (Optim. Methods Softw., 2018)

GradVis: Visualization and Second Order Analysis of Optimization Surfaces during the Training of Deep Neural Networks. - Avraam Chatzimichailidis; Janis Keuper; Franz-Josef Pfreundt; Nicolas R. Gauger (MLHPC@SC, 2019)

Scalable Hyperparameter Optimization with Lazy Gaussian Processes. - Raju Ram; Sabine Müller 001; Franz-Josef Pfreundt; Nicolas R. Gauger; Janis Keuper (MLHPC@SC, 2019)

Discrete adjoint gradient evaluations for linear stress and vibration analysis. - Marc Schwalbach; Tom Verstraete; Nicolas R. Gauger (Comput. Vis. Sci., 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)

High-Performance Derivative Computations using CoDiPack. - Max Sagebaum; Tim Albring; Nicolas R. Gauger (ACM Trans. Math. Softw., 2019)

AutoMat - Automatic Differentiation for Generalized Standard Materials on GPUs. - Johannes Blühdorn; Nicolas R. Gauger; Matthias Kabel (CoRR, 2020)

Index handling and assign optimization for Algorithmic Differentiation reuse index managers. - Max Sagebaum; Johannes Blühdorn; Nicolas R. Gauger (CoRR, 2020)

Aerostructural Wing Shape Optimization assisted by Algorithmic Differentiation. - Rocco Bombardieri; Rauno Cavallaro; Ruben Sanchez; Nicolas R. Gauger (CoRR, 2020)

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)

Scalable Hybrid Parallel ILU Preconditioner to Solve Sparse Linear Systems. - Raju Ram; Daniel Grünewald; Nicolas R. Gauger (Euro-Par Workshops, 2021)

Emulating Aerosol Microphysics with Machine Learning. - Paula Harder; Duncan Watson-Parris; Dominik Strassel; Nicolas R. Gauger; Philip Stier; Janis Keuper (CoRR, 2021)

Combining Sobolev Smoothing with Parameterized Shape Optimization. - Thomas Dick; Stephan Schmidt 003; Nicolas R. Gauger (CoRR, 2021)

Hybrid Parallel ILU Preconditioner in Linear Solver Library GaspiLS. - Raju Ram; Daniel Grünewald; Nicolas R. Gauger (ISC, 2022)

Derivatives in Proton CT. - 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; et al. (CoRR, 2022)

Physics-Informed Learning of Aerosol Microphysics. - Paula Harder; Duncan Watson-Parris; Philip Stier; Dominik Strassel; Nicolas R. Gauger; Janis Keuper (CoRR, 2022)

QFT-based Homogenization. - Felix Givois; Matthias Kabel; Nicolas R. Gauger (CoRR, 2022)

Reverse-Mode Automatic Differentiation of Compiled Programs. - Max Aehle; Johannes Blühdorn; Max Sagebaum; Nicolas R. Gauger (CoRR, 2022)

A gradient descent akin method for constrained optimization: algorithms and applications. - Long Chen; Kai-Uwe Bletzinger; Nicolas R. Gauger; Yinyu Ye 001 (CoRR, 2023)

Integrating Enzyme-generated functions into CoDiPack. - Max Sagebaum; Max Aehle; Nicolas R. Gauger (CoRR, 2023)

Data-driven aerodynamic shape design with distributionally robust optimization approaches. - Long Chen; Jan Rottmayer; Lisa Kusch; Nicolas R. Gauger; Yinyu Ye 001 (CoRR, 2023)

Event-Based Automatic Differentiation of OpenMP with OpDiLib. - Johannes Blühdorn; Max Sagebaum; Nicolas R. Gauger (ACM Trans. Math. Softw., 2023)

Towards Neural Charged Particle Tracking in Digital Tracking Calorimeters With Reinforcement Learning. - Tobias Kortus; Ralf Keidel; Nicolas R. Gauger (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Hybrid Parallel Discrete Adjoints in SU2. - Johannes Blühdorn; Pedro Gomes; Max Aehle; Nicolas R. Gauger (CoRR, 2024)

Local Adjoints for Simultaneous Preaccumulations with Shared Inputs. - Johannes Blühdorn; Nicolas R. Gauger (CoRR, 2024)

Windowing Regularization Techniques for Unsteady Aerodynamic Shape Optimization. - Steffen Schotthöfer; Beckett Y. Zhou; Tim Albring; Nicolas R. Gauger (CoRR, 2024)

Artificial Intelligence in Science and Society: The Vision of USERN. - 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; et al. (IEEE Access, 2025)

Optimization using pathwise algorithmic derivatives of electromagnetic shower simulations. - Max Aehle; Mihály Novák; Vassil Vassilev; Nicolas R. Gauger; Lukas Heinrich; Michael Kagan; David J. Lange (Comput. Phys. Commun., 2025)

Exploring End-to-end Differentiable Neural Charged Particle Tracking - A Loss Landscape Perspective. - Tobias Kortus; Ralf Keidel; Nicolas R. Gauger (Trans. Mach. Learn. Res., 2025)

Constrained Optimization of Charged Particle Tracking with Multi-Agent Reinforcement Learning. - Tobias Kortus; Ralf Keidel; Nicolas R. Gauger; Jan Kieseler (CoRR, 2025)

Neuromorphic Readout for Hadron Calorimeters. - 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; et al. (CoRR, 2025)

Refined stability estimates for mixed problems by exploiting semi norm arguments. - Nicolas R. Gauger; Alexander Linke; Christian Merdon (CoRR, 2025)

Forward-Mode Automatic Differentiation of Compiled Programs. - Max Aehle; Johannes Blühdorn; Max Sagebaum; Nicolas R. Gauger (ACM Trans. Math. Softw., 2025)

Adjoint-Based Aerodynamic Shape Optimization with a Manifold Constraint Learned by Diffusion Models. - Long Chen; Emre Özkaya; Jan Rottmayer; Nicolas R. Gauger; Zebang Shen; Yinyu Ye 001 (CoRR, 2025)

Adding complex numbers to expression template algorithmic differentiation tools. - Max Sagebaum; Nicolas R. Gauger (CoRR, 2025)