- Ebadollah Varnik: Exploitation of Structural Sparsity in Algorithmic Differentiation, 2011.
- Markus Beckers: Toward Global Robust Optimization, 2014.
- Michael Förster: Algorithmic Differentiation of Pragma-Defined Parallel Regions, 2014.
- Michel Schanen Semantics-Driven Adjoints of MPI Programs, 2014.
- Johannes Lotz: Hybrid Approaches to Adjoint Code Generation with dco/c++, 2016.
- Viktor Mosenkis: Transformation of Linearized Computational Graphs Driven by the Associativity of the Chain Rule, 2017.
- Niloofar Safiran: Differentiation of numerical simulations with embedded nonlinear systems and integrals, 2018.
- Markus Towara: Discrete adjoint optimization with OpenFOAM, 2018.
- Ekkapot Charoenwanit: Fully automatic adjoints of large-scale numerical simulations, 2019.
- Jens Deussen: Global Derivatives, 2021.
- Jonathan Hüser: Discrete Tangent and Adjoint Sensitivity Analysis for Discontinuous Solutions of Hyperbolic Conservation Laws, 2022.
