Lisa Bonheme

According to our database, Lisa Bonheme authored at least 9 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Deconstructing Deep Active Inference: A Contrarian Information Gatherer.

Théophile Champion, Marek Grzes, Lisa Bonheme, Howard Bowman

Neural Comput., 2024

2023

Be More Active! Understanding the Differences Between Mean and Sampled Representations of Variational Autoencoders.

Lisa Bonheme, Marek Grzes

J. Mach. Learn. Res., 2023

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

Enes Altuncu, Jason R. C. Nurse, Meryem Bagriacik, Sophie Kaleba, Haiyue Yuan, Lisa Bonheme, Shujun Li

CoRR, 2023

How good are variational autoencoders at transfer learning?

Lisa Bonheme, Marek Grzes

CoRR, 2023

Deconstructing deep active inference.

Théophile Champion, Marek Grzes, Lisa Bonheme, Howard Bowman

CoRR, 2023

The Polarised Regime of identifiable Variational Autoencoders.

Lisa Bonheme, Marek Grzes

Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

2022

FONDUE: an algorithm to find the optimal dimensionality of the latent representations of variational autoencoders.

Lisa Bonheme, Marek Grzes

CoRR, 2022

How do Variational Autoencoders Learn? Insights from Representational Similarity.

Lisa Bonheme, Marek Grzes

CoRR, 2022

2020

SESAM at SemEval-2020 Task 8: Investigating the Relationship between Image and Text in Sentiment Analysis of Memes.

Lisa Bonheme, Marek Grzes

Proceedings of the Fourteenth Workshop on Semantic Evaluation, 2020