Publications in reverse chronological order. A full CV is available on the about page.
2025
Spencer Szabados.
Constrained Diffusion: Applications to Image Generation, Manifold Learning, and Motion Planning. University of Waterloo, 2025.
[pdf] [link]
Haoye Lu, Spencer Szabados, and Yaoliang Yu.
Diffusion Models under Group Transformations. Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, vol. 258, pp. 3538--3546, 2025.
[pdf] [link]
2024
Haoye Lu, Spencer Szabados, and Yaoliang Yu.
Diffusion Models with Group Equivariance. ICML Workshop SPIGM, 2024.
[pdf] [link]
Stephane Durocher, Alexandre Leblanc, and Spencer Szabados.
Curve Stabbing Depth: Data Depth for Plane Curves. 2024.
[pdf] [arXiv]
2023
Haoye Lu, Yiwei Lu, Dihong Jiang, Spencer Szabados, Sun Sun, and Yaoliang Yu.
CM-GAN: Stabilizing GAN Training with Consistency Models. ICML 2023 Workshop on Structured Probabilistic Inference & Generative Modeling, 2023.
[pdf] [link]
2022
Stephane Durocher, and Spencer Szabados.
Curve Stabbing Depth: Data Depth for Plane Curves. 34th Canadian Conference on Computational Geometry (CCCG 2022), pp. 121--128, 2022.
[pdf] [link]