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Emilien Dupont
Emilien Dupont
Research Scientist, DeepMind
Verified email at stats.ox.ac.uk - Homepage
Title
Cited by
Cited by
Year
Augmented neural odes
E Dupont, A Doucet, YW Teh
Advances in neural information processing systems 32, 2019
6082019
Learning Disentangled Joint Continuous and Discrete Representations
E Dupont
arXiv preprint arXiv:1804.00104, 2018
2462018
Coin: Compression with implicit neural representations
E Dupont, A Goliński, M Alizadeh, YW Teh, A Doucet
arXiv preprint arXiv:2103.03123, 2021
1402021
Generating geologically realistic 3D reservoir facies models using deep learning of sedimentary architecture with generative adversarial networks
TF Zhang, P Tilke, E Dupont, LC Zhu, L Liang, W Bailey
Petroleum Science 16 (3), 541-549, 2019
1292019
From data to functa: Your data point is a function and you can treat it like one
E Dupont, H Kim, SM Eslami, D Rezende, D Rosenbaum
arXiv preprint arXiv:2201.12204, 2022
1272022
Generating realistic geology conditioned on physical measurements with generative adversarial networks
E Dupont, T Zhang, P Tilke, L Liang, W Bailey
arXiv preprint arXiv:1802.03065, 2018
1032018
Generative models as distributions of functions
E Dupont, YW Teh, A Doucet
arXiv preprint arXiv:2102.04776, 2021
762021
Equivariant neural rendering
E Dupont, MB Martin, A Colburn, A Sankar, J Susskind, Q Shan
International Conference on Machine Learning, 2761-2770, 2020
642020
Coin++: Neural compression across modalities
E Dupont, H Loya, M Alizadeh, A Goliński, YW Teh, A Doucet
arXiv preprint arXiv:2201.12904, 2022
62*2022
Mathematical discoveries from program search with large language models
B Romera-Paredes, M Barekatain, A Novikov, M Balog, MP Kumar, ...
Nature 625 (7995), 468-475, 2024
602024
Lietransformer: Equivariant self-attention for lie groups
MJ Hutchinson, C Le Lan, S Zaidi, E Dupont, YW Teh, H Kim
International Conference on Machine Learning, 4533-4543, 2021
492021
Probabilistic semantic inpainting with pixel constrained cnns
E Dupont, S Suresha
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
222019
Resource production forecasting
E Dupont, V Vesselinov, E Burton, JRC Galvan, A Konchenko
US Patent 10,859,725, 2020
172020
Spatial functa: Scaling functa to imagenet classification and generation
M Bauer, E Dupont, A Brock, D Rosenbaum, JR Schwarz, H Kim
arXiv preprint arXiv:2302.03130, 2023
152023
C3: High-performance and low-complexity neural compression from a single image or video
H Kim, M Bauer, L Theis, JR Schwarz, E Dupont
arXiv preprint arXiv:2312.02753, 2023
22023
Neural rendering
Q Shan, J Susskind, A Sankar, RA Colburn, E Dupont, MAB MARTIN
US Patent App. 17/145,232, 2021
22021
Deep Stochastic Processes via Functional Markov Transition Operators
J Xu, E Dupont, K Märtens, T Rainforth, YW Teh
Advances in Neural Information Processing Systems 36, 2024
2024
Well log correlation and propagation system
E Dupont, S Doronichev, V Vesselinov, V Guillot, C Boneti, JC Galvan
US Patent 11,828,167, 2023
2023
Disentanglement for inference on seismic data and generation of seismic data
E Dupont, JC Galvan
US Patent 11,803,678, 2023
2023
Super resolution machine learning model for seismic visualization generation
S Suresha, E Dupont, JM Chalupsky
US Patent App. 17/904,160, 2023
2023
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