Löıc Matthey

beta-VAE: Learning Basic Visual Concepts with a Constrained Variational Framework

Irina Higgins, Löıc Matthey, Arka Pal et al. · International Conference on Learning Representations · 2017 · 3.1K citations

Artificial Intelligence, Engineering, Machine Learning +18

Understanding disentangling in $\beta$-VAE

Christopher Burgess, Irina Higgins, Arka Pal et al. · arXiv (Cornell University) · 2018 · 280 citations · Full text

Multi-Object Representation Learning with Iterative Variational Inference

Klaus Greff, Raphaël Lopez Kaufman, Rishabh Kabra et al. · arXiv (Cornell University) · 2019 · 78 citations · Full text

Scene Analysis, Engineering, Machine Learning +20

Life-Long Disentangled Representation Learning with Cross-Domain Latent Homologies

Alessandro Achille, Tom Eccles, Löıc Matthey et al. · Neural Information Processing Systems · 2018 · 53 citations

Artificial Intelligence, Engineering, Machine Learning +17

SCAN: Learning Hierarchical Compositional Visual Concepts

Irina Higgins, Nicolas Sonnerat, Löıc Matthey et al. · UCL Discovery (University College London) · 2018 · 40 citations

Artificial Intelligence, Multimodal Llm, Infinite Diversity +14