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Computer Science

D-Index
41
Citations
4880
World Ranking
8992
National Ranking
17

Overview

Josef Urban is affiliated with the Czech Technical University in Prague in the Czech Republic. Their body of research primarily falls within the field of Computer Science, with a significant focus on subfields including Artificial Intelligence, Information Systems, Computational Theory and Mathematics, Computer Vision and Pattern Recognition, and General Health Professions.

Their work covers a broad range of research topics. The main topics include:

  • Logic, programming, and type systems
  • Natural Language Processing Techniques
  • Software Engineering Research
  • Artificial Intelligence in Games
  • Topic Modeling
  • Logic, Reasoning, and Knowledge
  • Evolutionary Algorithms and Applications

Josef Urban has published extensively, with outputs appearing in multiple venues. Frequent publication venues include:

  • arXiv (Cornell University)
  • Lecture notes in computer science
  • EPiC series in computing
  • Journal of Automated Reasoning
  • Leibniz-Zentrum für Informatik (Schloss Dagstuhl)

Recent scientific papers authored by or associated with Josef Urban include:

  • "TacticToe: Learning to Prove with Tactics", 2020, Journal of Automated Reasoning
  • "Tactic Learning and Proving for the Coq Proof Assistant", 2020, EPiC series in computing
  • "Machine Learning Guidance for Connection Tableaux", 2020, Journal of Automated Reasoning
  • "Towards Finding Longer Proofs", 2021, Lecture notes in computer science
  • "Guiding an Instantiation Prover with Graph Neural Networks", 2023, EPiC series in computing

Co-authorship is a notable aspect of their publication record, with frequent collaborators including:

  • Cezary Kaliszyk
  • Jan Jakubův
  • Miroslav Olšák
  • Thibault Gauthier
  • Mikoláš Janota

Josef Urban also has a book publication with Springer Science+Business Media titled "Automated Reasoning with Analytic Tableaux and Related Methods," released in 2023.

Best Publications

  • Mizar: State-of-the-art and Beyond

    Grzegorz Bancerek;Czesław Byliński;Adam Grabowski;Artur Korniłowicz

  • Hammering towards QED

    Jasmin Christian Blanchette;Cezary Kaliszyk;Lawrence C. Paulson;Josef Urban

  • Learning-Assisted Automated Reasoning with Flyspeck

    Cezary Kaliszyk;Josef Urban

  • MPTP 0.2: Design, Implementation, and Initial Experiments

    Josef Urban

  • MaLARea SG1 - Machine Learner for Automated Reasoning with Semantic Guidance

    Josef Urban;Geoff Sutcliffe;Petr Pudlák;Jiří Vyskočil

  • DeepMath - Deep Sequence Models for Premise Selection

    Alex A. Alemi;Francois Chollet;Niklas Een;Geoffrey Irving

  • Premise Selection for Mathematics by Corpus Analysis and Kernel Methods

    Jesse Alama;Tom Heskes;Daniel Kühlwein;Evgeni Tsivtsivadze

  • DeepMath - Deep Sequence Models for Premise Selection

    Alexander A. Alemi;François Chollet;Geoffrey Irving;Christian Szegedy

  • MizAR 40 for Mizar 40

    Cezary Kaliszyk;Josef Urban

  • HOL(y)Hammer: Online ATP Service for HOL Light

    Cezary Kaliszyk;Josef Urban

  • MaSh: machine learning for sledgehammer

    Daniel Kühlwein;Jasmin Christian Blanchette;Cezary Kaliszyk;Josef Urban

  • TacticToe: Learning to Reason with HOL4 Tactics

    Thibault Gauthier;Cezary Kaliszyk;Josef Urban

  • XML-izing mizar: making semantic processing and presentation of MML easy

    Josef Urban

  • History of Interactive Theorem Proving

    John Harrison;Josef Urban;Freek Wiedijk

  • MoMM — FAST INTERREDUCTION AND RETRIEVAL IN LARGE LIBRARIES OF FORMALIZED MATHEMATICS

    Josef Urban

  • MaLeCoP: machine learning connection prover

    Josef Urban;Jiří Vyskočil;Petr Štěpánek

  • ENIGMA: Efficient Learning-Based Inference Guiding Machine

    Jan Jakubův;Josef Urban

  • MPTP -- Motivation, Implementation, First Experiments

    Josef Urban

  • Overview and evaluation of premise selection techniques for large theory mathematics

    Daniel Kühlwein;Twan van Laarhoven;Evgeni Tsivtsivadze;Josef Urban

  • MaLARea: a Metasystem for Automated Reasoning in Large Theories.

    Josef Urban

Frequent Co-Authors

Geoff Sutcliffe
Geoff Sutcliffe University of Miami
Michael Kohlhase
Michael Kohlhase University of Erlangen-Nuremberg
Tom Heskes
Tom Heskes Radboud University
John Harrison
John Harrison Intel (United States)
Christian Szegedy
Christian Szegedy Google (United States)
Truong Q. Nguyen
Truong Q. Nguyen University of California, San Diego
Tobias Nipkow
Tobias Nipkow Technical University of Munich
Lawrence C. Paulson
Lawrence C. Paulson University of Cambridge
George Labahn
George Labahn University of Waterloo
Andrei Voronkov
Andrei Voronkov University of Manchester

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