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Andrew Campbell
Andrew Campbell
PhD Student, University of Oxford
Verified email at stats.ox.ac.uk
Title
Cited by
Cited by
Year
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
662022
Diffusion Schrödinger bridge matching
Y Shi, V De Bortoli, A Campbell, A Doucet
Advances in Neural Information Processing Systems 36, 2024
412024
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
302023
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
162021
Online Variational Filtering and Parameter Learning
A Campbell, Y Shi, T Rainforth, A Doucet
Advances in Neural Information Processing Systems 34, 2021
152021
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
82023
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
12024
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
2024
Improved motif-scaffolding with SE (3) flow matching
J Yim, A Campbell, E Mathieu, AYK Foong, M Gastegger, J Jiménez-Luna, ...
arXiv preprint arXiv:2401.04082, 2024
2024
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