| Augmented neural odes E Dupont, A Doucet, YW Teh Advances in neural information processing systems 32, 2019 | 679 | 2019 |
| Learning Disentangled Joint Continuous and Discrete Representations E Dupont arXiv preprint arXiv:1804.00104, 2018 | 269 | 2018 |
| 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 | 197 | 2024 |
| Coin: Compression with implicit neural representations E Dupont, A Goliński, M Alizadeh, YW Teh, A Doucet arXiv preprint arXiv:2103.03123, 2021 | 196 | 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 | 160 | 2022 |
| 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 | 141 | 2019 |
| 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 | 111 | 2018 |
| Generative models as distributions of functions E Dupont, YW Teh, A Doucet arXiv preprint arXiv:2102.04776, 2021 | 88 | 2021 |
| Coin++: Neural compression across modalities E Dupont, H Loya, M Alizadeh, A Goliński, YW Teh, A Doucet arXiv preprint arXiv:2201.12904, 2022 | 79* | 2022 |
| Equivariant neural rendering E Dupont, MB Martin, A Colburn, A Sankar, J Susskind, Q Shan International Conference on Machine Learning, 2761-2770, 2020 | 71 | 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 | 59 | 2021 |
| 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 | 21 | 2023 |
| Resource production forecasting E Dupont, V Vesselinov, E Burton, JRC Galvan, A Konchenko US Patent 10,859,725, 2020 | 21 | 2020 |
| Probabilistic semantic inpainting with pixel constrained cnns E Dupont, S Suresha The 22nd International Conference on Artificial Intelligence and Statistics …, 2019 | 21 | 2019 |
| C3: High-performance and low-complexity neural compression from a single image or video H Kim, M Bauer, L Theis, JR Schwarz, E Dupont Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 8 | 2024 |
| 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 | 1 | 2024 |
| System and Method for Simulating Reservoir Models WJ Bailey, E Dupont, L Liang, PG Tilke, T Zhang, L Zhu US Patent App. 16/772,792, 2021 | 1 | 2021 |
| Rapid region wide production forecasting E Burton, A Konchenko, E Dupont US Patent 12,056,726, 2024 | | 2024 |
| Neural rendering Q Shan, J Susskind, A Sankar, RA Colburn, E Dupont, MAB MARTIN US Patent 11,967,015, 2024 | | 2024 |
| Well log correlation and propagation system E Dupont, S Doronichev, V Vesselinov, V Guillot, C Boneti, JC Galvan US Patent App. 18/516,294, 2024 | | 2024 |
