Jordi Grau-Moya
- Papers
- 6
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6papers
Authored papers
6Amortized Planning with Large-Scale Transformers: A Case Study on Chess
arXiv 2024
Learning Universal Predictors
arXiv 2024
Language Modeling Is Compression
arXiv 2023
Randomized Positional Encodings Boost Length Generalization of Transformers
arXiv 2023
Memory-Based Meta-Learning on Non-Stationary Distributions
arXiv 2023
Neural Networks and the Chomsky Hierarchy
arXiv 2022
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No known affiliations.
Frequent co-authors
10from 6 papers
Anian Ruoss
Grégoire Delétang
Joel Veness
researcher
Tim Genewein
Elliot Catt
Li Kevin Wenliang
Marcus Hutter
Laurent Orseau
Christopher Mattern
Matthew Aitchison