‪Lisa Bonheme‬ - ‪Google Académico‬

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	Todos	Desde 2019
Citações	27	26
Índice h	3	3
Índice i10	1	1

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Coautores

Marek GrześSenior Lecturer, School of Computing, University of KentEmail confirmado em kent.ac.uk
Howard BowmanSchool of Psychology, University of BirminghamEmail confirmado em bham.ac.uk
Théophile ChampionUniversity of KentEmail confirmado em student.bham.ac.uk

Lisa Bonheme

Lisa Bonheme

Postdoctoral researcher, IARC, WHO

Email confirmado em iarc.who.int

representation learning deep learning generative models transparency representational similarity


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
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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