Mgr. Tomáš Gavenčiak, Ph.D.

Tomáš Gavenčiak received his Ph.D. in theoretical computer science from Charles University and worked as a postdoc at ETH Zurich. His research interests include computational complexity, game theory, network security, computational genomics, NLP, Bayesian modelling and computational epidemiology. His current research focuses mainly on issues related to complex existential risk and long-term safety of artificial intelligence.

Selected publications:

Details: https://orcid.org/0000-0003-1119-2426

Inferring the effectiveness of government interventions against COVID-19 (Science)
* How Robust are the Estimated Effects of Nonpharmaceutical Interventions against COVID-19? (NeurIPS)
* Performance of bounded-rational agents with the ability to self-modify (CEUR)
* LemmaTag: Jointly tagging and lemmatizing for morphologically rich languages with BRNNs (EMNLP)
* Integer programming in parameterized complexity: Five miniatures (DO)
* Sorting by Swaps with Noisy Comparisons (GECCO)
* Deciding first order properties of matroids (LNCS)