‪Lisa Bonheme‬ - ‪Google Scholar‬

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	All	Since 2019
Citations	27	26
h-index	3	3
i10-index	1	1

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202020212022202320241 9 13 3

Co-authors

Marek GrześSenior Lecturer, School of Computing, University of KentVerified email at kent.ac.uk
Howard BowmanSchool of Psychology, University of BirminghamVerified email at bham.ac.uk
Théophile ChampionUniversity of KentVerified email at student.bham.ac.uk

Lisa Bonheme

Lisa Bonheme

Postdoctoral researcher, IARC, WHO

Verified email at iarc.who.int

representation learning deep learning generative models transparency representational similarity


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SESAM at SemEval-2020 task 8: investigating the relationship between image and text in sentiment analysis of memes L Bonheme, M Grzes Proceedings of the Fourteenth Workshop on Semantic Evaluation, 804–816, 2020	15	2020
FONDUE: an algorithm to find the optimal dimensionality of the latent representations of variational autoencoders L Bonheme, M Grzes arXiv preprint arXiv:2209.12806, 2022	4	2022
How do variational autoencoders learn? insights from representational similarity L Bonheme, M Grzes arXiv preprint arXiv:2205.08399, 2022	3	2022
Be More Active! Understanding the Differences between Mean and Sampled Representations of Variational Autoencoders L Bonheme, M Grzes Journal of Machine Learning Research 24, 1-30, 2023	2	2023
Deconstructing deep active inference T Champion, M Grześ, L Bonheme, H Bowman arXiv preprint arXiv:2303.01618, 2023	2	2023
The Polarised Regime of identifiable Variational Autoencoders L Bonheme, M Grzes ICLR 2023 TinyPapers, 2023	1	2023

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