A continuous time framework for discrete denoising models A Campbell, J Benton, V De Bortoli, T Rainforth, G Deligiannidis, ... Advances in Neural Information Processing Systems 35, 28266-28279, 2022 | 82 | 2022 |
Diffusion Schrödinger bridge matching Y Shi, V De Bortoli, A Campbell, A Doucet Advances in Neural Information Processing Systems 36, 2024 | 59 | 2024 |
normflows: A PyTorch Package for Normalizing Flows V Stimper, D Liu, A Campbell, V Berenz, L Ryll, B Schölkopf, ... arXiv preprint arXiv:2302.12014, 2023 | 40 | 2023 |
Fast protein backbone generation with SE (3) flow matching J Yim, A Campbell, AYK Foong, M Gastegger, J Jiménez-Luna, S Lewis, ... arXiv preprint arXiv:2310.05297, 2023 | 25 | 2023 |
A Gradient Based Strategy for Hamiltonian Monte Carlo Hyperparameter Optimization A Campbell, W Chen, V Stimper, JM Hernandez-Lobato, Y Zhang International Conference on Machine Learning, 1238-1248, 2021 | 19 | 2021 |
Online Variational Filtering and Parameter Learning A Campbell, Y Shi, T Rainforth, A Doucet Advances in Neural Information Processing Systems 34, 2021 | 18 | 2021 |
Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-Design A Campbell, J Yim, R Barzilay, T Rainforth, T Jaakkola arXiv preprint arXiv:2402.04997, 2024 | 11 | 2024 |
Improved motif-scaffolding with SE (3) flow matching J Yim, A Campbell, E Mathieu, AYK Foong, M Gastegger, J Jiménez-Luna, ... ArXiv, 2024 | 4 | 2024 |
Trans-dimensional generative modeling via jump diffusion models A Campbell, W Harvey, C Weilbach, V De Bortoli, T Rainforth, A Doucet Advances in Neural Information Processing Systems 36, 2024 | 1 | 2024 |