What happens to diffusion model likelihood when your model is conditional?

Cross, M. and Ragni, A. orcid.org/0000-0003-0634-4456 (2024) What happens to diffusion model likelihood when your model is conditional? In: Coelho, C., Zimmering, B., Fernanda, M., Costa, P., Ferras, L.L. and Niggemann, O., (eds.) Proceedings of Machine Learning Research. 1st ECAI Workshop on “Machine Learning Meets Differential Equations: From Theory to Applications”, 20 Oct 2024, Santiago de Compostela, Spain. Proceedings of Machine Learning Research , pp. 1-14.

Abstract

Metadata

Item Type: Proceedings Paper
Authors/Creators:
Editors:
  • Coelho, C.
  • Zimmering, B.
  • Fernanda, M.
  • Costa, P.
  • Ferras, L.L.
  • Niggemann, O.
Copyright, Publisher and Additional Information:

© The authors 2024. Except as otherwise noted, this paper published in Proceedings of Machine Learning Research is made available under the terms of the Creative Commons Attribution 4.0 International License (CC-BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/

Keywords: Diffusion models; score-based generative modelling; likelihood
Dates:
  • Published: 2024
  • Published (online): 2024
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 23 Jan 2025 11:22
Last Modified: 28 Jan 2025 15:08
Published Version: https://proceedings.mlr.press/v255/cross24a.html
Status: Published
Publisher: Proceedings of Machine Learning Research
Refereed: Yes
Related URLs:
Open Archives Initiative ID (OAI ID):

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