Yannik Schälte

12 papers A* 1Journal 11
YearRankTypeTitle / Venue / Authors
2024 A* conf
An amortized approach to non-linear mixed-effects modeling based on neural posterior estimation.
ICML
Jonas Arruda, Yannik Schälte, Clemens Peiter, Olga Teplytska, Ulrich Jaehde, Jan Hasenauer
2024 J jnl
Missing data in amortized simulation-based neural posterior estimation.
PLoS Comput. Biol.
Zijian Wang, Jan Hasenauer, Yannik Schälte
2023 J jnl
BayesFlow: Amortized Bayesian Workflows With Neural Networks.
CoRR
Stefan T. Radev, Marvin Schmitt, Lukas Schumacher, Lasse Elsemüller, Valentin Pratz, Yannik Schälte, Ullrich Köthe, Paul-Christian Bürkner
2023 J jnl
BayesFlow: Amortized Bayesian Workflows With Neural Networks.
J. Open Source Softw.
Stefan T. Radev, Marvin Schmitt, Lukas Schumacher, Lasse Elsemüller, Valentin Pratz, Yannik Schälte, Ullrich Köthe, Paul-Christian Bürkner
2023 J jnl
FitMultiCell: simulating and parameterizing computational models of multi-scale and multi-cellular processes.
Bioinform.
Emad Alamoudi, Yannik Schälte, Robert Müller, Jörn Starruß, Nils Bundgaard, Frederik Graw, Lutz Brusch, Jan Hasenauer
2023 J jnl
pyPESTO: a modular and scalable tool for parameter estimation for dynamic models.
Bioinform.
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
2022 J jnl
pyABC: Efficient and robust easy-to-use approximate Bayesian computation.
J. Open Source Softw.
Yannik Schälte, Emmanuel Klinger, Emad Alamoudi, Jan Hasenauer
2021 J jnl
AMICI: high-performance sensitivity analysis for large ordinary differential equation models.
Bioinform.
Fabian Fröhlich, Daniel Weindl, Yannik Schälte, Dilan Pathirana, Lukasz Paszkowski, Glenn Terje Lines, Paul Stapor, Jan Hasenauer
2021 J jnl
PEtab - Interoperable specification of parameter estimation problems in systems biology.
PLoS Comput. Biol.
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
2021 J jnl
yaml2sbml: Human-readable and -writable specification of ODE models and their conversion to SBML.
J. Open Source Softw.
Jakob Vanhoefer, Marta R. A. Matos, Dilan Pathirana, Yannik Schälte, Jan Hasenauer
2020 J jnl
Efficient exact inference for dynamical systems with noisy measurements using sequential approximate Bayesian computation.
Bioinform.
Yannik Schälte, Jan Hasenauer
2020 J jnl
Efficient parameterization of large-scale dynamic models based on relative measurements.
Bioinform.
Leonard Schmiester, Yannik Schälte, Fabian Fröhlich, Jan Hasenauer, Daniel Weindl