Deep generative modelling: A comparative review of vaes, gans, normalizing flows, energy-based and autoregressive models S Bond-Taylor, A Leach, Y Long, CG Willcocks IEEE transactions on pattern analysis and machine intelligence 44 (11), 7327 …, 2021 | 439 | 2021 |
Anoddpm: Anomaly detection with denoising diffusion probabilistic models using simplex noise J Wyatt, A Leach, SM Schmon, CG Willcocks Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 177 | 2022 |
Denoising diffusion probabilistic models on so (3) for rotational alignment A Leach, SM Schmon, MT Degiacomi, CG Willcocks ICLR 2022 Workshop on Geometrical and Topological Representation Learning, 2022 | 45 | 2022 |
FrameDiPT: SE (3) Diffusion Model for Protein Structure Inpainting C Zhang, A Leach, T Makkink, M Arbesú, I Kadri, D Luo, L Mizrahi, ... bioRxiv, 2023.11. 21.568057, 2023 | | 2023 |
On deep generative modelling methods for protein-protein interaction A Leach Durham University, 2023 | | 2023 |
Shape tracing: An extension of sphere tracing for 3D non-convex collision in protein docking A Leach, LSP Rudden, S Bond-Taylor, JC Brigham, MT Degiacomi, ... 2020 IEEE 20th International Conference on Bioinformatics and Bioengineering …, 2020 | | 2020 |