--- title: "Joel Veness — author profile and papers" description: "Joel Veness: 2 papers on Elamur Research (2022–2023), h-index 17 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/joel-veness/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/joel-veness/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Joel Veness # Joel Veness Joel Veness has 2 papers in our library, in 2022–2023, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Efficient models & compression](https://md.research.elamur.ai/free/en/topics/efficient-models/); often with [Anian Ruoss](https://md.research.elamur.ai/free/en/authors/anian-ruoss/), [Elliot Catt](https://md.research.elamur.ai/free/en/authors/elliot-catt/), [Gregoire Deletang](https://md.research.elamur.ai/free/en/authors/gregoire-deletang/). 2 papers in our library · 2022–2023 [OpenAlex](https://openalex.org/A5060709021) · [**h-index 17**](https://openalex.org/authors/A5060709021) · [59 works](https://openalex.org/works?filter=author.id:A5060709021) · [39,865 citations](https://openalex.org/works?filter=author.id:A5060709021&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/joel-veness/#papers) · [🔗 151 citations in our library](https://md.research.elamur.ai/free/en/authors/joel-veness/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Star rank #3962](https://md.research.elamur.ai/free/en/paper-stars/page/40/#star-3962) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Joel+Veness) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Joel+Veness) · [dblp](https://dblp.org/search?q=Joel+Veness) · [ACL Anthology](https://aclanthology.org/search/?q=Joel+Veness) ## Affiliations [🏢**Google DeepMind** London · United Kingdom 2012–2024 · 15 papers](https://md.research.elamur.ai/free/en/companies/google-deepmind/) · [🎓**University of Alberta** Edmonton · Canada 2011–2021 · 13 papers](https://md.research.elamur.ai/free/en/universities/university-of-alberta/) · [🏢**Google** Mountain View · United States 2016–2020 · 4 papers](https://md.research.elamur.ai/free/en/companies/google/) · [🔬**Data61** Sydney · Australia 2007–2010 · 4 papers](https://md.research.elamur.ai/free/en/labs/data61/) · [🎓**UNSW Sydney** Sydney · Australia 2007–2010 · 4 papers](https://md.research.elamur.ai/free/en/universities/unsw-sydney/) · [🔬**Dalle Molle Institute for Artificial Intelligence Research** Lugano · Switzerland 2023 · 2 papers](https://ror.org/013355g38) · [🎓**University of Applied Sciences and Arts of Southern Switzerland** Manno · Switzerland 2023 · 2 papers](https://ror.org/05ep8g269) · [🎓**Australian National University** Canberra · Australia 2011–2015 · 2 papers](https://md.research.elamur.ai/free/en/universities/australian-national-university/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 more institutions on single bylines are not listed. ## Concepts, shelves and topics Of its works in our library: the number of works on each and its rating among them. 💡 Concepts 2[Minimum description length · 1 work](https://md.research.elamur.ai/free/en/concepts/minimum-description-length/) · [Context-free grammar · 1 work](https://md.research.elamur.ai/free/en/concepts/context-free-grammar/) 📚 Shelves 1[AI & machine learning · 2 works](https://md.research.elamur.ai/free/en/shelves/ai/) 🧭 Topics 2[Efficient models & compression · 1 work](https://md.research.elamur.ai/free/en/topics/efficient-models/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2023** 1 paper](https://md.research.elamur.ai/free/en/papers/deletang-2023-language-modeling-compression/) · [**2022** 1 paper](https://md.research.elamur.ai/free/en/papers/deletang-2022-neural-networks-chomsky-hierarchy/) ## Papers The most cited first (OpenAlex and our library). 1. **[Language Modeling Is Compression](https://md.research.elamur.ai/free/en/papers/deletang-2023-language-modeling-compression/)** *(2023 · 89 citations)* The paper revisits the old equivalence between prediction and lossless compression and uses it to evaluate large pretrained models. 2. **[Neural Networks and the Chomsky Hierarchy](https://md.research.elamur.ai/free/en/papers/deletang-2022-neural-networks-chomsky-hierarchy/)** *(2022 · 66 citations)* The authors investigate whether the theory of computation, specifically the Chomsky hierarchy, can predict where the ability of neural networks to generalize out of distribution ends. ## Also in our library 1 more work of theirs is in our library without a page here yet; it will appear as we publish them. ## Co-authors here 8 co-authors with a page, the most papers together first. - [Anian Ruoss](https://md.research.elamur.ai/free/en/authors/anian-ruoss/) ×2 - [Elliot Catt](https://md.research.elamur.ai/free/en/authors/elliot-catt/) ×2 - [Gregoire Deletang](https://md.research.elamur.ai/free/en/authors/gregoire-deletang/) ×2 - [Jordi Grau-Moya](https://md.research.elamur.ai/free/en/authors/jordi-grau-moya/) ×2 - [Li Kevin Wenliang](https://md.research.elamur.ai/free/en/authors/li-kevin-wenliang/) ×2 - [Marcus Hutter](https://md.research.elamur.ai/free/en/authors/marcus-hutter/) ×2 - [Tim Genewein](https://md.research.elamur.ai/free/en/authors/tim-genewein/) ×2 - [Paul-Ambroise Duquenne](https://md.research.elamur.ai/free/en/authors/paul-ambroise-duquenne/) ## Cited by Papers of our library cite their works 151 times (of the 140,884 papers whose bibliographies we read); [12 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/joel-veness/cited-by/). Updated 23 October 2026