Spencer Szabados

My last name is pronounced 'sza-ba-dosh'.

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University of Waterloo

Waterloo, ON, Canada

I’m a current graduate student (2023.01 - Present) at the University of Waterloo supervised by Yao-liang Yu working on Machine Learning. My research interests are currently centered around generative modeling with an emphasis on Diffusion Models; I’m also interested in a variety of topics within optimization, probabilistic modeling, and rendering methods. I am also associated with the Vector Institute. I completed my undergraduate degree at the University of Manitoba in Applied Mathematics and Computer Science. Previously I was a member of the GADA Lab studying notions of Data Depth, supervised by Stephane Durocher.

Alongside my research I am working as a part-time ML contractor at Coastal Carbon (2024.08 - Present) working on using diffusion models for remote satellite sensing.

Outside of research I enjoy cycling, camping, and some amateur photography. I am also an avid reader, biased towards hard sci-fi that provide interesting social political commentary.

Latest posts

Aug 20, 2022 Bayer Dithering
Jul 20, 2022 Perlin Worms

Selected publications

  1. LuSY2024_spigm.png
    Diffusion Models with Group Equivariance
    Haoye Lu , Spencer Szabados, and Yaoliang Yu
    In ICML Workshop SPIGM , 2024
  2. LuLJSSY2023.png
    CM-GAN: Stabilizing GAN Training with Consistency Models
    Haoye Lu , Yiwei Lu , Dihong Jiang , and 3 more authors
    In ICML 2023 Workshop on Structured Probabilistic Inference & Generative Modeling , 2023
  3. DurocherS2022.png
    Curve Stabbing Depth: Data Depth for Plane Curves
    Stephane Durocher , and Spencer Szabados
    In 34th Canadian Conference on Computational Geometry (CCCG 2022) , 2022