Publications

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

2023

Mathematical discoveries from program search with large language models
B. Romera-Paredes*, M. Barekatain*, A. Novikov*, M. Balog*, P. Kumar*, E. Dupont*, F. Ruiz*, J. Ellenberg, P. Wang, O. Fawzi, P. Kohli, A. Fawzi*
nature.com/articles/s41586-023-06924-6
Nature

 

C3: High-performance and low-complexity neural compression from a single image or video
H. Kim*, M. Bauer*, L. Theis, J. Schwarz, E. Dupont*
arxiv.org/abs/2312.02753

 

Deep Stochastic Processes via Functional Markov Transition Operators
J. Xu, E. Dupont, K. Märtens, T. Rainforth, Y. W. Teh
arxiv.org/abs/2305.15574
NeurIPS 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

 

2022

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

 

COIN++: Neural Compression Across Modalities
E. Dupont*, H. Loya*, M. Alizadeh, A. Goliński, Y. W. Teh, A. Doucet
arxiv.org/abs/2201.12904
Github repo 👩‍💻
TMLR 2022

 

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 👩‍💻
ICML 2022

 

2021

COIN: COmpression with Implicit Neural representations
E. Dupont*, A. Goliński*, M. Alizadeh, Y. W. Teh, A. Doucet
arxiv.org/abs/2103.03123
Github repo 👩‍💻
ICLR 2021 Neural Compression Workshop Spotlight 🎉

 

Generative Models as Distributions of Functions
E. Dupont, Y. W. Teh, A. Doucet
arxiv.org/abs/2102.04776
Github repo 👩‍💻
AISTATS 2022 Oral 🌟

 

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 👩‍💻
ICML 2021

 

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 👩‍💻
ICML 2020

 

2019

Augmented Neural ODEs
E. Dupont, A. Doucet, Y. W. Teh
arxiv.org/abs/1904.01681
Github repo 👩‍💻
NeurIPS 2019

 

2018

Probabilistic Semantic Inpainting with Pixel Constrained CNNs
E. Dupont, S. Suresha
arxiv.org/abs/1810.03728
Github repo 👩‍💻
AISTATS 2019

 

Learning Disentangled Joint Continuous and Discrete Representations
E. Dupont
arxiv.org/abs/1804.00104
Github repo 👩‍💻
NeurIPS 2018

 

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