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researcher

João Sacramento

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1
  • last author2

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • cs.AI1
ORCID 0000-0002-2837-9695
same name
  • João Sacramento — 3 papers, h 5

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20222026
most citedThe least-control principle for local learning at equilibrium

15 citations · 15 across the 3 of their papers we have counts for

collaborators

3 papers

cs.AI2026

A game theory for foundation models shows new paths to rational cooperation through similarity inference

Alexander Meulemans, Maciej Wołczyk, Marissa A. Weis +11

As autonomous agents powered by foundation models are increasingly integrated into social and economic systems, understanding the principles governing their collective behavior is…

cs.LG2024

State Soup: In-Context Skill Learning, Retrieval and Mixing

Maciej Pióro, Maciej Wołczyk, Razvan Pascanu +2

A new breed of gated-linear recurrent neural networks has reached state-of-the-art performance on a range of sequence modeling problems. Such models naturally handle long sequences…

cs.LG2022★ 15 cited

The least-control principle for local learning at equilibrium

Alexander Meulemans, Nicolas Zucchet, Seijin Kobayashi +2

Equilibrium systems are a powerful way to express neural computations. As special cases, they include models of great current interest in both neuroscience and machine learning, su…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.