…please see my Google Scholar profile for a full list of publications.
Published in Czech Technical University press (theses), 2021
This is actually my dissertation thesis - it contains my work on deep relational learning, which got also published as a book
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Published in International Conference on Learning Representations (ICLR), 2021
We introduce a lossless compression technique to significantly speed up models such as Graph Neural Networks
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Published in International Journal of Forecasting, 2020
I wrote this paper to closely explain our previous concept of exploiting sports betting market with ML
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Published in Machine Learning Journal, 2020
We show how the Lifted Relational Neural Networks concept covers the Graph Neural Networks concept (and more)
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Published in International Conference on Inductive Logic Programming, 2017
A structure learning extension of the LRNN concept - we won the best paper of the conference with it.
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Published in US patent office, 2016
US patent - A constructive procedure for detection of malicious network events from NetFlow traffic.
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Published in Journal of Artificial Intelligence Research, 2015
This paper introduces our original concept of Lifted Relational Neural Networks (LRNN, from 2015)
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Please note that my Bachelor name, appearing on most of the papers, was Šourek (I accepted my wife’s name recently).