| Denoising diffusion probabilistic models in six simple steps RE Turner, CD Diaconu, S Markou, A Shysheya, AYK Foong, ... arXiv preprint arXiv:2402.04384, 2024 | 6 | 2024 |
| Translation equivariant transformer neural processes M Ashman, C Diaconu, J Kim, L Sivaraya, S Markou, J Requeima, ... arXiv preprint arXiv:2406.12409, 2024 | 3 | 2024 |
| Guided autoregressive diffusion models with applications to PDE simulation F Bergamin, C Diaconu, A Shysheya, P Perdikaris, JM Hernández-Lobato, ... ICLR 2024 Workshop on AI4DifferentialEquations In Science, 2024 | 3 | 2024 |
| In-Context In-Context Learning with Transformer Neural Processes M Ashman, C Diaconu, A Weller, RE Turner arXiv preprint arXiv:2406.13493, 2024 | 2 | 2024 |
| On conditional diffusion models for PDE simulations A Shysheya, C Diaconu, F Bergamin, P Perdikaris, JM Hernández-Lobato, ... Advances in Neural Information Processing Systems 37, 23246-23300, 2024 | 1 | 2024 |
| Approximately Equivariant Neural Processes M Ashman, C Diaconu, A Weller, W Bruinsma, R Turner Advances in Neural Information Processing Systems 37, 97088-97123, 2024 | | 2024 |
| Gridded Transformer Neural Processes for Large Unstructured Spatio-Temporal Data M Ashman, C Diaconu, E Langezaal, A Weller, RE Turner arXiv preprint arXiv:2410.06731, 2024 | | 2024 |
