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Jan Jakubův

Jan Jakubův has 4 papers in our library, in 2017–2020, most of them on Reasoning; often with Josef Urban, Karel Chvalovský, Martin Suda.

4 papers in our library · 2017–2020

OpenAlex · ORCID · Wikidata · h-index 13 · 48 works · 385 citations OpenAlex, 2026-10-14

📄 4 works in our library · 🔗 Cited 48 times in our library · ⭐ Paper Stars ranking: #6608

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓Czech Technical University in PraguePrague · Czechia2012–2026 · 37 papersEmployment 2012–2015Employment since 2015current🎓Universität InnsbruckInnsbruck · Austria2019–2024 · 8 papers🎓Heriot-Watt UniversityEdinburgh · United Kingdom2007–2010 · 1 paperEducation 2007–2010 · PhD, School of Mathematical and Computer Sciences / ULTRA group
🏛️Czech Technical UniversityPrague · Czechia2012–2015Employment 2012–2015 · Postdoc, Faculty of Electrical EngineeringEmployment since 2015 · Postdoc, Czech Institute of Informatics, Robotics and Cybernetics
🏛️Self EmployedPrague · Czechia2010–2012Employment 2010–2012 · Software Developer
🎓Charles UniversityPrague · Czechia2000–2006Education 2000–2006 · MSc, Faculty of Mathematics and Physics

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 3The field of science this work belongs to (OpenAlex fields).Computer Science · 4 worksArtificial Intelligence · 4 worksComputational Theory and Mathematics · 4 works

🧭 Topics 1Research subjects and languages the work is about.Reasoning · 1 work

 Works by year

2020s

20202 papers

2010s

20191 paper20171 paper

 Papers

The most cited first (OpenAlex and our library).

  1. ENIGMA: Efficient Learning-based Inference Guiding Machine (2017 · 67 citations)
    Saturation-based provers such as E must constantly decide which generated clause to process next (given clause selection).
  2. ENIGMA-NG: Efficient Neural and Gradient-Boosted Inference Guidance for E (2019 · 61 citations)
    The paper tackles given-clause selection in saturation-based first-order provers, specifically E. Choosing which clause to process next largely determines whether a proof is found. ENIGMA previously guided this choice with fast linear classifiers (LIBLINEAR) over handcrafted clause features: vertical, horizontal…
  3. ENIGMA Anonymous: Symbol-Independent Inference Guiding Machine (system description) (2020 · 42 citations)
    Learned guidance for saturation-style provers usually relies on symbol names. Such guidance cannot carry over to problems or libraries that use different names. This system description adds two name-agnostic clause classifiers to the ENIGMA framework of the E prover. Under either classifier, consistently renaming all…
  4. First Neural Conjecturing Datasets and Experiments (2020 · 40 citations)
    The paper addresses automated conjecture generation in large formal mathematics corpora. This covers proposing helpful intermediate lemmas and exploring a theory freely. Urban and Jakubův build four datasets from the Mizar Mathematical Library (MML). Two are textual: raw Mizar articles and an HTML-derived export…

 Co-authors here

5 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 48 times (of the 149,439 papers whose bibliographies we read); 25 citing papers with a page here →.

Updated

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