Publications

Qian Huang, Christian Rohde, and Ruixi Zhang. Convergence of a two-parameter hyperbolic relaxation system toward the incompressible Navier-Stokes equations. 2026. [PUMA: SPP2410 am ians] URL

Jean-Noël Grad, Gerasimos Chourdakis, Bernd Flemisch, Christian Holm, Leon Keim, Benjamin Uekermann, and Rudolf Weeber. Organizing software community workshops: Experiences from three independent simulation software projects. In René Caspart, Florian Goth, Oliver Karras, Jan Linxweiler, Florian Thiery, and Joachim Wuttke (Eds.), Electronic Communications of the EASST, (85)December 2025. [PUMA: PN3 EXC2075 PN3-12]

Jean-Noël Grad, Gerasimos Chourdakis, Bernd Flemisch, Christian Holm, Leon Keim, Benjamin Uekermann, and Rudolf Weeber. Organizing software community workshops: Experiences from three independent simulation software projects. In René Caspart, Florian Goth, Oliver Karras, Jan Linxweiler, Florian Thiery, and Joachim Wuttke (Eds.), Electronic Communications of the EASST, (85)December 2025. [PUMA: icp]

Florian Goth, Leyla Jael Castro, Gerasimos Chourdakis, Simon Christ, Jeremy Cohen, Nicholas A. Del Grosso, Jean-Noël Grad, Magnus Hagdorn, Toby Hodges, Jan Linxweiler, Frank Löffler, Michele Martone, and Jan Philipp Thiele. Future challenges for Research Software Engineering. In René Caspart, Florian Goth, Oliver Karras, Jan Linxweiler, Florian Thiery, and Joachim Wuttke (Eds.), Electronic Communications of the EASST, (85)December 2025. [PUMA: icp]

Sebastian Hoschek, Philipp Rodegast, Jakob Gesell, Jonas Scheid, and Jörg Fehr. Effiziente Modellierung flexibler Robotersysteme zur Echtzeitsimulation am Beispiel eines Leichtbauroboters. at - Automatisierungstechnik, (74)1:61–73, Walter de Gruyter GmbH, January 2026. [PUMA: PNX EXC2075 updated METEOR_3] URL

Sebastian Hoschek, Philipp Rodegast, Jakob Gesell, Jonas Scheid, and Jörg Fehr. Effiziente Modellierung flexibler Robotersysteme zur Echtzeitsimulation am Beispiel eines Leichtbauroboters. at - Automatisierungstechnik, (74)1:61–73, Walter de Gruyter GmbH, January 2026. [PUMA: myown PNX EXC2075 METEOR_3] URL

Anneli Guthke. Diagnostic Model Evaluation and Selection: Bayesian and Information-Theoretic Concepts for the Environmental Sciences. Soil-scientific colloquium, University of Hohenheim, Germany, 2024. [PUMA: myown smdi]

Stefania Scheurer, Philipp Reiser, Tim Brünnette, Wolfgang Nowak, Anneli Guthke, and Paul-Christian Bürkner. Uncertainty-Aware Surrogate-based Amortized Bayesian Inference for Computationally Expensive Models. Transactions in Machine Learning Research, January 2026. [PUMA: myown] URL

Anneli Guthke. Uncertainties in Earth Science Modelling: Diagnostics, Quantification, and Implications for (Hybrid) Model Development. Seminar Series of the Institute of Earth Surface Dynamics and the Institute of Earth Sciences, University of Lausanne, Switzerland, 2025. [PUMA: myown smdi]

Anneli Guthke. Bayesian and Information-Theoretic Tools for Diagnosing Earth Science Models. Seminar Series of the Chair of Hydrogeology at the Technical University of Munich, Germany, 2025. [PUMA: myown smdi]

Lukas Vierus, Thomas Schuster, and Bernadette Hahn. Tensor field tomography with attenuation and refraction: adjoint operators for the dynamic case and numerical experiments. 2026. URL

Anneli Guthke. Formal Treatment of Uncertainties in Earth Science Modelling: Merits & Pitfalls of Bayesian Model-Data Integration. 2025. [PUMA: myown smdi]

Anneli Guthke, Han-Fang Hsueh, Thomas Wöhling, and Wolfgang Nowak. Making Bayesian Inference and Predictions More Realistic: A Sliding Time-Window Approach. Annual Meeting of the American Geophysical Union, Washington/DC, USA, 2024. [PUMA: myown]

Manuel Álvarez Chaves, Eduardo Acuña Espinoza, Uwe Ehret, and Anneli Guthke. Evaluating the Balance of Physics-Based and Data-Driven Components in Hybrid Hydrological Models Using Information Theory. Annual Meeting of the American Geophysical Union, Washington/DC, USA, 2024. [PUMA: myown smdi]

Anneli Guthke, Philipp Luca Reiser, and Paul Bürkner. Training Surrogates with Knowledge and Data: A Bayesian Hybrid Modelling Strategy. General Assembly of the European Geoscience Union, Vienna, 2025. [PUMA: myown]

Manuel Álvarez Chaves, Hoshin Gupta, Uwe Ehret, and Anneli Guthke. Evaluating uncertainty in probabilistic deep learning models using Information Theory. General Assembly of the European Geoscience Union, Vienna, 2025. [PUMA: myown]

Manuel Álvarez Chaves, Eduardo Acuña Espinoza, Daniel Klotz, Hoshin Gupta, Uwe Ehret, and Anneli Guthke. A variational approach at uncertainty estimation in data-driven rainfall-runoff modeling. Machine Learning: Earth, (under review)2026. [PUMA: myown smdi exc2075]

Manuel Álvarez Chaves, Eduardo Acuña Espinoza, Daniel Klotz, Hoshin Gupta, Uwe Ehret, and Anneli Guthke. A variational approach at uncertainty estimation in data-driven rainfall-runoff modeling. Machine Learning: Earth, (under review)2026. [PUMA: PN6 PN6A-4 EXC2075 updated]

Manuel Álvarez Chaves, Eduardo Acuña Espinoza, Uwe Ehret, and Anneli Guthke. When Physics Gets in the Way: An Entropy-based Evaluation of Conceptual Constraints in Hybrid Hydrological Models. Hydrology and Earth System Sciences, (accepted)2026.

Stefania Scheurer, Philipp Reiser, Tim Brünette, Wolfgang Nowak, Anneli Guthke, and Paul-Christian Bürkner. Uncertainty-Aware Surrogate-based Amortized Bayesian Inference for Computationally Expensive Models. Transactions on Machine Learning Research, (accepted)2026.