| Conditional image generation with score-based diffusion models G Batzolis, J Stanczuk, CB Schönlieb, C Etmann arXiv preprint arXiv:2111.13606, 2021 | 156* | 2021 |
| Wasserstein GANs work because they fail (to approximate the Wasserstein distance) J Stanczuk, C Etmann, LM Kreusser, CB Schönlieb arXiv preprint arXiv:2103.01678, 2021 | 46 | 2021 |
| Your diffusion model secretly knows the dimension of the data manifold J Stanczuk, G Batzolis, T Deveney, CB Schönlieb arXiv preprint arXiv:2212.12611, 2022 | 36 | 2022 |
| The impact of imputation quality on machine learning classifiers for datasets with missing values T Shadbahr, M Roberts, J Stanczuk, J Gilbey, P Teare, S Dittmer, ... Communications Medicine 3 (1), 139, 2023 | 15* | 2023 |
| Time Series Diffusion in the Frequency Domain J Crabbé, N Huynh, J Stanczuk, M van der Schaar arXiv preprint arXiv:2402.05933, 2024 | 2 | 2024 |
| Closing the ODE-SDE gap in score-based diffusion models through the Fokker-Planck equation T Deveney, J Stanczuk, LM Kreusser, C Budd, CB Schönlieb arXiv preprint arXiv:2311.15996, 2023 | 2 | 2023 |
| Variational Diffusion Auto-encoder: Latent Space Extraction from Pre-trained Diffusion Models G Batzolis, J Stanczuk, CB Schönlieb arXiv preprint arXiv:2304.12141, 2023 | | 2023 |
Carola-Bibiane SchönliebDAMTP, University of CambridgeVerified email at cam.ac.uk
