Dear Colleagues, We are pleased to announce the call for papers for the NeurReps Workshop on Symmetry and Geometry in Neural Representations (www.neurreps.org) The workshop invites submissions contributing novel research incorporating symmetry, geometry, or topology into the design of artificial neural networks, the analysis of neural data, or theories of neural computation. Key Details: - Submission Deadline: September 13, 2024 11:59 PM AoE - Author Notification: October 9, 2024 11:59 PM AoE - Two submission tracks: 1. Proceedings Track (up to 9 pages, to be published in PMLR) 2. Extended Abstract Track (up to 4 pages) Themes of particular interest include: - Theory and methods for learning invariant and equivariant representations - Statistical learning theory in the context of topology, geometry, and symmetry - Representational geometry in neural data - Equivariant world models for robotics - Topological deep learning and topological data analysis - Geometric structure in language - Symmetries, dynamical systems, and learning We welcome both theoretical contributions and applied results in domains such as vision, motor control, navigation, and language. For full details on the call for papers, submission instructions, and LaTeX templates, please visit: https://www.neurreps.org/call-for-papers If you have any questions, please contact organizers@neurreps.org. We look forward to your submissions! Best regards, Simone Azeglio & NeurReps Workshop Organizers