Nick Watters

Statistics

Publications

Citations

878

H-Index

Active since

2018

Affiliations

University College London(Current)

Google (United States)

Nick Watters is an author at University College London specializing in machine learning, disentangled representation learning, and representation learning.

Publications per year

2018–2020

Publications

Understanding disentangling in $\beta$-VAE

Christopher Burgess, Irina Higgins, Arka Pal et al. · arXiv (Cornell University) · 2018 · 282 citations · Full text

Computing, Computer Science, Information Theory +15

Understanding disentangling in $β$-VAE

Christopher Burgess, Irina Higgins, Arka Pal et al. · arXiv (Cornell University) · 2018 · 281 citations · Full text

Computing, Computer Science, Information Theory +15

Multi-Object Representation Learning with Iterative Variational Inference

Klaus Greff, Raphaël Lopez Kaufman, Rishabh Kabra et al. · arXiv (Cornell University) · 2019 · 178 citations · Full text

Computing, Computer Science, Computer Vision +16

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

Computing, Computer Science, Computer Vision +16

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

Alessandro Achille, Tom Eccles, Christopher Burgess et al. · arXiv (Cornell University) · 2018 · 40 citations · Full text

Computing, Computer Science, Computer Vision +16

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