Anian Ruoss
Anian Ruoss has 2 papers in our library, in 2022–2023, most of them on Language models & pretraining, Efficient models & compression; often with Elliot Catt, Gregoire Deletang, Joel Veness.
OpenAlex · ORCID · h-index 9 · 30 works · 248 citations OpenAlex, 2026-10-14
2 works in our library · 158 citations in our library · 2 more works in our library · ⭐ Paper Star rank #3959
Affiliations
- Google DeepMind (United Kingdom) · London, United Kingdom — 2021–2024 on 5 papers
- Dalle Molle Institute for Artificial Intelligence Research · Lugano, Switzerland — 2023 on 2 papers
- University of Applied Sciences and Arts of Southern Switzerland · Manno, Switzerland — 2023 on 2 papers
- ETH Zurich · Zurich, Switzerland — 2020–2021 on 5 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
- Elliot Catt ×2
- Gregoire Deletang ×2
- Joel Veness ×2
- Jordi Grau-Moya ×2
- Li Kevin Wenliang ×2
- Marcus Hutter ×2
- Tim Genewein ×2
- Paul-Ambroise Duquenne
Cited by
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