Elamur Research⌕
☰
home / authors / Tim Genewein

Tim Genewein

Tim Genewein has 2 papers in our library, in 2022–2023, most of them on Language models & pretraining, Efficient models & compression; often with Anian Ruoss, Elliot Catt, Gregoire Deletang.

2 papers in our library · 2022–2023

current affiliationGoogle DeepMind (United Kingdom), London, United Kingdom

OpenAlex · ORCID · h-index 15 · 55 works · 1 779 citations OpenAlex, 2026-10-14

2 works in our library · 126 citations in our library · 1 more work in our library · ⭐ Paper Star rank #3986

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

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 4 more institutions on single bylines are not listed.

Topics

Language models & pretraining1Efficient models & compression1

Works by year

2020s

20231 paper20221 paper

Papers

The most cited first (OpenAlex and our library).

  1. Language Modeling Is 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 (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.

Cited by

Papers of our library cite their works 126 times (of the 140 884 papers whose bibliographies we read); 11 citing papers with a page here →.

This page in Markdown → https://md.research.elamur.ai/free/en/authors/tim-genewein/