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Lisa Bonheme

7 papers hereh-index 566 citations10 works total

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

author position
  • first author4
  • middle author3

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • cs.LG5
  • cs.AI1
  • cs.IR1

identity via Semantic Scholar / OpenAlex

activity
20212026
most citedDeconstructing deep active inference

3 citations · 7 across the 6 of their papers we have counts for

collaborators
Showing 2023Show all

3 papers · 1 filter

cs.IR2023

aedFaCT: Scientific Fact-Checking Made Easier via Semi-Automatic Discovery of Relevant Expert Opinions

Enes Altuncu, Jason R. C. Nurse, Meryem Bagriacik +4

In this highly digitised world, fake news is a challenging problem that can cause serious harm to society. Considering how fast fake news can spread, automated methods, tools and s…

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.