Best abstract award at Neurreps workshop

A one-day workshop on Symmetry and Geometry in Neural Representations was held at the New Orleans Convention Center on December 3, 2022 as part of NeurIPS 2022. This workshop focusses on contributions to novel research at the intersection of geometric deep learning, computational neuroscience, geometric statistics, and topological data analysis, which incorporate symmetry, geometry, or topology into the design of artificial neural networks, the analysis of neural data, or theories of neural computation.

CLS doctoral fellow Hamza Keurti presented a paper on “Homomorphism AutoEncoder --- Learning Group Structured Representations from Observed Transitions” as part of the session on Symmetry and Laws of Neural Representation. For this, Hamza and co-authors received a best abstract prize. 

Hamza Keurti joined CLS in 2020 and is conducting his doctoral research supervised by Prof. Benjamin Grewe at the Department of Information Technology and Electrical Engineering, ETH Zurich and co-supervised by Prof. Bernhard Schölkopf at the Max Planck Institute for Intelligent Systems, Tübingen.

You can find more information about the Neureps at https://www.neurreps.org/about. Image credit: Neureps.