| Augmented neural odes E Dupont, A Doucet, YW Teh Advances in neural information processing systems 32, 2019 | 533 | 2019 |
| Learning Disentangled Joint Continuous and Discrete Representations E Dupont arXiv preprint arXiv:1804.00104, 2018 | 225 | 2018 |
| 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, 541-549, 2019 | 112 | 2019 |
| Coin: Compression with implicit neural representations E Dupont, A Goliński, M Alizadeh, YW Teh, A Doucet arXiv preprint arXiv:2103.03123, 2021 | 105 | 2021 |
| 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 | 98 | 2022 |
| 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 | 92 | 2018 |
| Generative models as distributions of functions E Dupont, YW Teh, A Doucet arXiv preprint arXiv:2102.04776, 2021 | 72 | 2021 |
| Equivariant neural rendering E Dupont, MB Martin, A Colburn, A Sankar, J Susskind, Q Shan International Conference on Machine Learning, 2761-2770, 2020 | 52 | 2020 |
| 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 | 40 | 2021 |
| COIN++: Neural compression across modalities E Dupont, H Loya, M Alizadeh, A Goliński, YW Teh, A Doucet arXiv preprint arXiv:2201.12904, 2022 | 36* | 2022 |
| Probabilistic semantic inpainting with pixel constrained cnns E Dupont, S Suresha The 22nd International Conference on Artificial Intelligence and Statistics …, 2019 | 22 | 2019 |
| Resource production forecasting E Dupont, V Vesselinov, E Burton, JRC Galvan, A Konchenko US Patent 10,859,725, 2020 | 15 | 2020 |
| Spatial functa: Scaling functa to imagenet classification and generation M Bauer, E Dupont, A Brock, D Rosenbaum, J Schwarz, H Kim arXiv preprint arXiv:2302.03130, 2023 | 7 | 2023 |
| Well log correlation and propagation system E Dupont, S Doronichev, V Vesselinov, V Guillot, C Boneti, JC Galvan US Patent App. 17/048,411, 2021 | 5 | 2021 |
| Neural rendering Q Shan, J Susskind, A Sankar, RA Colburn, E Dupont, MAB MARTIN US Patent App. 17/145,232, 2021 | 2 | 2021 |
| Deep Stochastic Processes via Functional Markov Transition Operators J Xu, E Dupont, K Märtens, T Rainforth, YW Teh arXiv preprint arXiv:2305.15574, 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 |
| Rapid region wide production forecasting E Burton, A Konchenko, E Dupont US Patent App. 17/310,185, 2022 | | 2022 |
| Neural networks as data E Dupont University of Oxford, 2022 | | 2022 |
| Disentanglement for inference on seismic data and generation of seismic data E Dupont, JC Galvan US Patent App. 17/045,705, 2021 | | 2021 |
