My work is mostly concerned with applications in astro-particle physics, a field that is characterized by extreme class imbalances, by a domain-specific post-processing of predictions, and by the fact that all training data is simulated while the learned models must be valid in practice. My current focuses are the aggregation of predictions in terms of ordinal quantification (a.k.a. unfolding), learning under class-conditional label noise, and the smart control of simulations through active class selection.
Postdoctoral researcher at the @lamarr-institute
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Lamarr Institute for Machine Learning and Artificial Intelligence
- Dortmund, Germany
- https://lamarr.cs.tu-dortmund.de/team/dr-mirko-bunse/
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CherenkovDeconvolution.jl
CherenkovDeconvolution.jl PublicDeconvolution algorithms popular in Cherenkov astronomy
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AcsCertificates.jl
AcsCertificates.jl PublicSupplementary material for papers at ECML-PKDD 2021 and IAL 2021
Julia 1
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julia-knn-tutorial
julia-knn-tutorial PublicIn this tutorial you will implement a k-NN classifier in the Julia programming language
Jupyter Notebook 1
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