25 citations · 36 across the 5 of their papers we have counts for
5 papers
BoFire: Bayesian Optimization Framework Intended for Real Experiments
Johannes P. Dürholt, Thomas S. Asche, Johanna Kleinekorte +15
Our open-source Python package BoFire combines Bayesian Optimization (BO) with other design of experiments (DoE) strategies focusing on developing and optimizing new chemistry. Pre…
Measuring dependencies between variables of a dynamical system using fuzzy affiliations
Niklas Wulkow
A statistical, data-driven method is presented that quantifies influences between variables of a dynamical system. The method is based on finding a suitable representation of point…
Data-driven modelling of nonlinear dynamics by barycentric coordinates and memory
Niklas Wulkow, Péter Koltai, Vikram Sunkara +1
We present a numerical method to model dynamical systems from data. We use the recently introduced method Scalable Probabilistic Approximation (SPA) to project points from a Euclid…
Memory-based reduced modelling and data-based estimation of opinion spreading
Niklas Wulkow, Péter Koltai, Christof Schütte
We investigate opinion dynamics based on an agent-based model, and are interested in predicting the evolution of the percentages of the entire agent population that share an opinio…
Sparse Proteomics Analysis - A compressed sensing-based approach for feature selection and classification of high-dimensional proteomics mass spectrometry data
Tim Conrad, Martin Genzel, Nada Cvetkovic +5
Background: High-throughput proteomics techniques, such as mass spectrometry (MS)-based approaches, produce very high-dimensional data-sets. In a clinical setting one is often inte…