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researcher

Lisa Bonheme

2 papers here

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

author position
  • first author1
  • middle author1

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.AI1
  • cs.LG1
ORCID 0000-0002-9166-3971
same name
  • Lisa Bonheme — 1 paper

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

most citedDeconstructing deep active inference

3 citations · 5 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2023★ 2 cited

How good are variational autoencoders at transfer learning?

Lisa Bonheme, Marek Grzes

Variational autoencoders (VAEs) are used for transfer learning across various research domains such as music generation or medical image analysis. However, there is no principled w…

cs.AI2023★ 3 cited

Deconstructing deep active inference

Théophile Champion, Marek Grześ, Lisa Bonheme +1

Active inference is a theory of perception, learning and decision making, which can be applied to neuroscience, robotics, and machine learning. Recently, reasearch has been taking…

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