Difference between revisions of "Moritz Willig"

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His research interests include [https://en.wikipedia.org/wiki/Statistical_learning_theory statistical machine learning] and [https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence symbolic artificial intelligence], and its applications for [https://en.wikipedia.org/wiki/Feature_learning representation learning] in [https://en.wikipedia.org/wiki/Computer_vision computer vision] <ref>[https://rise-of-light.de/ Rise of light - dev page: Moritz Willig]</ref>.
 
His research interests include [https://en.wikipedia.org/wiki/Statistical_learning_theory statistical machine learning] and [https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence symbolic artificial intelligence], and its applications for [https://en.wikipedia.org/wiki/Feature_learning representation learning] in [https://en.wikipedia.org/wiki/Computer_vision computer vision] <ref>[https://rise-of-light.de/ Rise of light - dev page: Moritz Willig]</ref>.
 
Along with [[Johannes Czech]] and [[Alena Beyer]], he is co-author of the [[UCI]] compatible [[Chess#Variants|chess variant]] [[:Category:Open Source|open source]] engine [[CrazyAra]],
 
Along with [[Johannes Czech]] and [[Alena Beyer]], he is co-author of the [[UCI]] compatible [[Chess#Variants|chess variant]] [[:Category:Open Source|open source]] engine [[CrazyAra]],
which started in summer 2018 as a [https://en.wikipedia.org/wiki/Academic_term#Synonyms semester] project for the course ''Deep Learning: Methods and Architectures'' at TU Darmstadt.
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which started in summer 2018 as a [https://en.wikipedia.org/wiki/Academic_term#Synonyms semester] project for the course ''Deep Learning: Methods and Architectures'' at TU Darmstadt <ref>[https://crazyara.org/about.html CrazyAra - About us]</ref>.
 
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=Selected Publications=
 
=Selected Publications=

Latest revision as of 11:53, 23 May 2021

Home * People * Moritz Willig

Moritz Willig [1]

Moritz Willig,
a German computer scientist affiliated with TU Darmstadt. His research interests include statistical machine learning and symbolic artificial intelligence, and its applications for representation learning in computer vision [2]. Along with Johannes Czech and Alena Beyer, he is co-author of the UCI compatible chess variant open source engine CrazyAra, which started in summer 2018 as a semester project for the course Deep Learning: Methods and Architectures at TU Darmstadt [3].

Selected Publications

[4]

External Links

References

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