Erika Dudkin

According to our database, Erika Dudkin authored at least 5 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Explainable classification by local error amplification.

Erika Dudkin, Florian Sobieczky

Neural Comput. Appl., October, 2025

Reinforcement Learning for Accelerated Aerodynamic Shape Optimisation.

Florian Sobieczky, Alfredo Lopez, Erika Dudkin, Christopher Lackner, Matthias Hochsteger, Bernhard Scheichl, Helmut Sobieczky

CoRR, July, 2025

2023

pyPESTO: a modular and scalable tool for parameter estimation for dynamic models.

Yannik Schälte, Fabian Fröhlich, Paul J. Jost, Jakob Vanhoefer, Dilan Pathirana, Paul Stapor, Polina A. Lakrisenko, Dantong Wang, Elba Raimúndez-Álvarez, Simon Merkt, Leonard Schmiester, Philipp Städter, Stephan Grein, Erika Dudkin, Domagoj Doresic, Daniel Weindl, Jan Hasenauer

Bioinform., November, 2023

Learning the inhomogenous term of a linear ODE.

Florian Sobieczky, Erika Dudkin, Jan Zesinek

Proceedings of the 5th International Conference on Industry 4.0 and Smart Manufacturing (ISM 2023), 2023

2021

PEtab - Interoperable specification of parameter estimation problems in systems biology.

Leonard Schmiester, Yannik Schälte, Frank T. Bergmann, Tacio Camba, Erika Dudkin, Janine Egert, Fabian Fröhlich, Lara Fuhrmann, Adrian L. Hauber, Svenja Kemmer, Polina A. Lakrisenko, Carolin Loos, Simon Merkt, Wolfgang Müller, Dilan Pathirana, Elba Raimúndez-Álvarez, Lukas Refisch, Marcus Rosenblatt, Paul Stapor, Philipp Städter, Dantong Wang, Franz-Georg Wieland, Julio R. Banga, Jens Timmer, Alejandro F. Villaverde, Sven Sahle, Clemens Kreutz, Jan Hasenauer, Daniel Weindl

PLoS Comput. Biol., 2021