Publications

An up to date list of publications can be found on my Google Scholar profile.

2023

Spatial Functa: Scaling Functa to ImageNet Classification and Generation
M. Bauer, E. Dupont, A. Brock, D. Rosenbaum, J. Schwarz, H. Kim
arxiv.org/abs/2302.03130
ICLR 2023 Neural Fields Workshop

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2022

Neural Networks as Data
E. Dupont
Oxford University Research Archive
Thesis

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COIN++: Neural Compression Across Modalities
E. Dupont*, H. Loya*, M. Alizadeh, A. GoliΕ„ski, Y. W. Teh, A. Doucet
arxiv.org/abs/2201.12904
Github repo πŸ‘©β€πŸ’»
TMLR 2022

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From data to functa: Your data point is a function and you can treat it like one
E. Dupont*, H. Kim*, A. Eslami, D. Rezende, D. Rosenbaum
arxiv.org/abs/2201.12204
Github repo πŸ‘©β€πŸ’»
ICML 2022

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2021

COIN: COmpression with Implicit Neural representations
E. Dupont*, A. GoliΕ„ski*, M. Alizadeh, Y. W. Teh, A. Doucet
arxiv.org/abs/2103.03123
Github repo πŸ‘©β€πŸ’»
ICLR 2021 Neural Compression Workshop Spotlight πŸŽ‰

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Generative Models as Distributions of Functions
E. Dupont, Y. W. Teh, A. Doucet
arxiv.org/abs/2102.04776
Github repo πŸ‘©β€πŸ’»
AISTATS 2022 Oral 🌟

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2020

LieTransformer: Equivariant self-attention for Lie Groups
M. Hutchinson*, C. Le Lan*, S. Zaidi*, E. Dupont, Y. W. Teh, H. Kim
arxiv.org/abs/2012.10885
Github repo πŸ‘©β€πŸ’»
ICML 2021

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Equivariant Neural Rendering
E. Dupont, M. A. Bautista, A. Colburn, A. Sankar, C. Guestrin, J. Susskind, Q. Shan
arxiv.org/abs/2006.07630
Github repo πŸ‘©β€πŸ’»
ICML 2020

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2019

Augmented Neural ODEs
E. Dupont, A. Doucet, Y. W. Teh
arxiv.org/abs/1904.01681
Github repo πŸ‘©β€πŸ’»
NeurIPS 2019

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2018

Probabilistic Semantic Inpainting with Pixel Constrained CNNs
E. Dupont, S. Suresha
arxiv.org/abs/1810.03728
Github repo πŸ‘©β€πŸ’»
AISTATS 2019

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Learning Disentangled Joint Continuous and Discrete Representations
E. Dupont
arxiv.org/abs/1804.00104
Github repo πŸ‘©β€πŸ’»
NeurIPS 2018

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Generating Realistic Geology Conditioned on Physical Measurements with Generative Adversarial Networks
E. Dupont, T. Zhang, P. Tilke, L. Liang, W. Bailey
arxiv.org/abs/1802.03065
ICML 2018 TADGM Workshop

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