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Lenard Rommel

1 paper hereh-index 14 citations1 works total

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author position
  • middle author1

Across the 1 of 1 paper where every author was matched, so the position is known.

fields
  • cs.LG1

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collaborators

1 paper

cs.LG2025

laplax -- Laplace Approximations with JAX

Tobias Weber, Bálint Mucsányi, Lenard Rommel +4

The Laplace approximation provides a scalable and efficient means of quantifying weight-space uncertainty in deep neural networks, enabling the application of Bayesian tools such a…

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