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researcher

Johannes von Oswald

4 papers here

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

author position
  • middle author3
  • last author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.LG4

identity via Semantic Scholar / OpenAlex

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

15 citations · 18 across the 4 of their papers we have counts for

collaborators

4 papers

cs.LG2026

Can In-Context Learning Support Intrinsic Curiosity?

Eric Elmoznino, Sangnie Bhardwaj, Johannes von Oswald +5

Effective machine learning depends not only on how we model data, but also on what data we choose to collect. While large sequence models have revolutionized data modeling, the pro…

cs.LG2024

Weight decay induces low-rank attention layers

Seijin Kobayashi, Yassir Akram, Johannes Von Oswald

The effect of regularizers such as weight decay when training deep neural networks is not well understood. We study the influence of weight decay as well as L2-regularization whe…

cs.LG2022★ 3 cited

Random initialisations performing above chance and how to find them

Frederik Benzing, Simon Schug, Robert Meier +5

Neural networks trained with stochastic gradient descent (SGD) starting from different random initialisations typically find functionally very similar solutions, raising the questi…

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.