Staff profile
Overview
https://schmons.github.io/seb1.jpg
Dr Sebastian Schmon
Assistant Professor, Statistics
B.Sc. (Mathematics), B.Sc. (Economics), M.Sc. (Statistics), DPhil (PhD) University of Oxford (Statistics)
| Affiliation | Room number | Telephone |
|---|---|---|
| Assistant Professor, Statistics in the Department of Mathematical Sciences | MCS3110 |
Research interests
- Bayesian Statistics
- Computational Statistics
- Deep probabilistic and deep generative models
- Markov Chain Monte Carlo
- Inference for Complex Simulation Models
- Healthcare and Precision Medicine
Publications
Conference Paper
- Wyatt, Julian, Leach, Adam, Schmon, Sebastian M. & Willcocks, Chris G. (2022), AnoDDPM: Anomaly Detection With Denoising Diffusion Probabilistic Models Using Simplex Noise, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops. New Orleans, LA, IEEE, 650-656.
- Dyer, Joel, Cannon, Patrick & Schmon, Sebastian M. (2022), Amortised Likelihood-free Inference for Expensive Time-series Simulators with Signatured Ratio Estimation, in Camps-Valls, Gustau, Ruiz, Francisco J.R. & Valera, Isabel eds, Proceedings of Machine Learning Research 151: Artificial Intelligence and Statistics 2022 (AISTATS): The 25th International Conference on Artificial Intelligence and Statistics. Virtual, AISTATS.
- Leach, Adam, Schmon, Sebastian M., Degiacomi, Matteo T. & Willcocks, Chris G. (2022), Denoising Diffusion Probabilistic Models on SO(3) for Rotational Alignment, ICLR 2022 Workshop on Geometrical and Topological Representation Learning. ICLR.
- Joy, Tom, Shi, Yuge, Torr, Philip H.S., Rainforth, Tom, Schmon, Sebastian M. & Siddharth, N. (2022), Learning Multimodal VAEs Through Mutual Supervision, ICLR 2022: The Tenth International Conference on Learning Representations. Virtual, ICLR.
- Tom Joy, Sebastian Schmon, Philip Torr, Siddharth N & Tom Rainforth (2021), Capturing Label Characteristics in \VAE\s, International Conference on Learning Representations.
Journal Article