output
20112026
most citedDifferentiable modeling to unify machine learning and physical models and advance Geosciences

466 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2017 · stat.COShow all

2 papers · 2 filters

stat.CO2017★ 1 cited

SPUX: Scalable Particle Markov Chain Monte Carlo for uncertainty quantification in stochastic ecological models

Jonas Šukys, Mira Kattwinkel

Calibration of individual based models (IBMs), successful in modeling complex ecological dynamical systems, is often performed only ad-hoc. Bayesian inference can be used for both…

stat.CO2017★ 93 cited

Principal component analysis and sparse polynomial chaos expansions for global sensitivity analysis and model calibration: application to urban drainage simulation

Joseph B. Nagel, Jörg Rieckermann, Bruno Sudret

This paper presents an efficient surrogate modeling strategy for the uncertainty quantification and Bayesian calibration of a hydrological model. In particular, a process-based dyn…