Yannik Schälte

According to our database, Yannik Schälte authored at least 11 papers between 2020 and 2024.

Collaborative distances:

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

2024

Missing data in amortized simulation-based neural posterior estimation.

Zijian Wang, Jan Hasenauer, Yannik Schälte

PLoS Comput. Biol., 2024

An amortized approach to non-linear mixed-effects modeling based on neural posterior estimation.

Jonas Arruda, Yannik Schälte, Clemens Peiter, Olga Teplytska, Ulrich Jaehde, Jan Hasenauer

Proceedings of the Forty-first International Conference on Machine Learning, 2024

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

FitMultiCell: simulating and parameterizing computational models of multi-scale and multi-cellular processes.

Emad Alamoudi, Yannik Schälte, Robert Müller, Jörn Starruß, Nils Bundgaard, Frederik Graw, Lutz Brusch, Jan Hasenauer

Bioinform., November, 2023

BayesFlow: Amortized Bayesian Workflows With Neural Networks.

Stefan T. Radev, Marvin Schmitt, Lukas Schumacher, Lasse Elsemüller, Valentin Pratz, Yannik Schälte, Ullrich Köthe, Paul-Christian Bürkner

J. Open Source Softw., October, 2023

2022

pyABC: Efficient and robust easy-to-use approximate Bayesian computation.

Yannik Schälte, Emmanuel Klinger, Emad Alamoudi, Jan Hasenauer

J. Open Source Softw., 2022

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

yaml2sbml: Human-readable and -writable specification of ODE models and their conversion to SBML.

Jakob Vanhoefer, Marta R. A. Matos, Dilan Pathirana, Yannik Schälte, Jan Hasenauer

J. Open Source Softw., 2021

AMICI: high-performance sensitivity analysis for large ordinary differential equation models.

Fabian Fröhlich, Daniel Weindl, Yannik Schälte, Dilan Pathirana, Lukasz Paszkowski, Glenn Terje Lines, Paul Stapor, Jan Hasenauer

Bioinform., 2021

2020

Efficient parameterization of large-scale dynamic models based on relative measurements.

Leonard Schmiester, Yannik Schälte, Fabian Fröhlich, Jan Hasenauer, Daniel Weindl

Bioinform., 2020

Efficient exact inference for dynamical systems with noisy measurements using sequential approximate Bayesian computation.

Yannik Schälte, Jan Hasenauer

Bioinform., 2020