Yannik Schälte

Technical University of Munich

Germany

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Articles (10)

Year:

2024

Year:

2024

Year:

2023

Year:

2023

Year:

2023

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2023

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2022

Year:

2021

Year:

2021

Year:

2021

Collaborators (8)

Christiane Fuchs

Professor of Data Science

Bielefeld University

GERMANY

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Friedrich Riess

Klinikum der Universität München

GERMANY

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Frederik Graw

Heidelberg University

GERMANY

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Svenja Kemmer

University of Freiburg

GERMANY

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Jan Hasenauer

Professor

Rheinische Friedrich-Wilhelms-Universität Bonn

GERMANY

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Noemi Castelletti

Technical University of Munich

GERMANY

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Ullrich Koethe

Associate Professor

Ruprecht Karls Universität Heidelberg

GERMANY

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Frank Bergmann

Ruprecht Karls Universität Heidelberg

GERMANY

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Yannik Schälte

Research Interests

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Contact this professor

Articles (10)

A wall-time minimizing parallelization strategy for approximate Bayesian computation.

Missing data in amortized simulation-based neural posterior estimation

Integrative modelling of reported case numbers and seroprevalence reveals time-dependent test efficiency and infection rates

BayesFlow: Amortized Bayesian Workflows With Neural Networks

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

Informative and adaptive distances and summary statistics in sequential approximate Bayesian computation

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

Head-to-head evaluation of seven different seroassays including direct viral neutralisation in a representative cohort for SARS-CoV-2

PEtab—Interoperable specification of parameter estimation problems in systems biology

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

Collaborators (8)

Christiane Fuchs

Friedrich Riess

Frederik Graw

Svenja Kemmer

Jan Hasenauer

Noemi Castelletti

Ullrich Koethe

Frank Bergmann

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