Marcus Hutter
Marcus Hutter 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.
current affiliationAustralian National University, Canberra, Australia; Google DeepMind (United Kingdom), London, United Kingdom
OpenAlex · ORCID · h-index 36 · 398 works · 6 442 citations OpenAlex, 2026-10-14
2 works in our library · 163 citations in our library · 2 more works in our library · ⭐ Paper Star rank #3965
Affiliations
- Australian National University · Canberra, Australia — current · 2006–2026 on 211 papers
- Google DeepMind (United Kingdom) · London, United Kingdom — current · 2015–2026 on 32 papers
- Google (United Kingdom) · London, United Kingdom — 2021–2025 on 5 papers
- Google (United States) · Mountain View, United States — 2021–2025 on 2 papers
- Data61 · Sydney, Australia — 2006–2021 on 51 papers
- ETH Zurich · Zurich, Switzerland — 2011–2013 on 16 papers
- Dalle Molle Institute for Artificial Intelligence Research · Lugano, Switzerland — 1999–2007 on 86 papers
- Ludwig-Maximilians-Universität München · Munich, Germany — 1995–1997 on 4 papers
Topics
Works by year
2020s
Papers
- 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. - 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
Co-authors here
- Anian Ruoss ×2
- Elliot Catt ×2
- Gregoire Deletang ×2
- Joel Veness ×2
- Jordi Grau-Moya ×2
- Li Kevin Wenliang ×2
- Tim Genewein ×2
- Paul-Ambroise Duquenne
Cited by
This page in Markdown → https://md.research.elamur.ai/free/en/authors/marcus-hutter/