News + Events
New Position at Science
Team Lead - Theory
At Science, we're developing methods for next-generation neural read/write. Reach out if you're interested in getting involved.
December 2023
Neural Information Processing Systems
A General Framework for Robust G-Invariance in G-Equivariant Networks
Sophia Sanborn, Nina MIolane
NeurIPS 2023 | New Orleans, Louisiana, USA
December 2023
NeurIPS Workshop on Unifying Representations in Neural Models
Symmetry & Universality
NeurIPS 2023 | New Orleans, Louisiana
December 2023
NeurIPS Workshop on Symmetry and Geometry in Neural Representations
NeurIPS 2023 | New Orleans, Lousiana, USA
Co-organized with Christian Shewmake, Simone Azeglio, & Nina Miolane
December 2023
NeurIPS Workshop on Unifying Representations in Neural Models
Relating Representational Geometry to Cortical Geometry in the Visual Cortex
Francisco Acosta, Colin Conwell, Sophia Sanborn, David A. Klindt, Nina Miolane
NeurIPS 2023 | New Orleans, Louisiana
December 2023
Work Featured on the NeuroAI Archive
Our paper, Identifying Interpretable Visual Features in Artificial and Biological Neural Systems, is featured in the NeuroAI Paper Roundup #4: Neuro-Inspired AI Explanations. Check out the full write-up here.
November 2023
Geometric Intelligence Lab Awarded $1.2M NSF Grant to Study Lie Group Representation Learning for Vision
Led by lab members Christian Shewmake and Sophia Sanborn, the Geometric Intelligence Lab (PI: Nina Miolane) receives a 1.2M$ NSF grant to build deep vision models capable of discovering and modeling the hierarchical symmetries of the visual world, in collaboration with UC Berkeley (PI: Bruno Olshausen) and the University of Michigan (PI: Stella Yu).
See the full announcement here.
November 2023
Work Featured on the NeuroAI Archive
Bispectral Neural Networks is featured in the NeuroAI Paper Roundup #3: Focus on Vision. Check out the full write-up here.
September 2023
Why Deep Networks and Brains
Learn Similar Features
TWiML AI Podcast
Listen on Spotify
August 2023
ICML Workshop on Topology, Algebra, & Geometry in Machine Learning
ICML 2023 | Honolulu, Hawaii, USA
Co-organized with Tegan Emerson, Henry Kvinge, Tim Doster, Bastian Rieck, Nina Miolane, & Mathilde Papillon
July 2023
CVPR Workshop on Topology, Algebra, and Geometry in Pattern Recognition with Applications
International Conference on Learning Representations
COSYNE Workshop on Dynamic Geometrical Transformations:
Language of Flexible Brain Computations
COSYNE | Montreal, Canada
March 2023
Amsterdam Machine Learning Lab
University of Amsterdam | Amsterdam, Netherlands
February 2023
SIAM CSE Mini-Symposioum on Geometry and Shape Analysis for Neuroscience
SIAM Computational Science & Engineering | Amsterdam, Netherlands
February 2023
Sophia Sanborn Receives the PIMS-Simons Fellowship
Sophia Sanborn has been awarded the prestigious PIMS-Simons fellowship from the Pacific Institute for Mathematical Sciences and the Simons Foundation. This fellowship recognizes her as an "outstanding young researcher in the mathematical sciences”
See full announcement here.
January 2023
NeurIPS Workshop on Symmetry and Geometry in Neural Representations
NeurIPS 2022 | New Orleans, Lousiana, USA
Co-organized with Christian Shewmake, Simone Azeglio, Arianna Di Bernardo, & Nina Miolane
December 2022
International Symposium on the Mathematics of Neuroscience
ICNAAM | Crete, Greece
September 2022
Bernstein Workshop on Symmetry, Invariance, and Neural Representations
Bernstein Computational Neuroscience Conference | Berlin, Germany
September 2022
Machine Learning and Science Forum
Berkeley Institute for Data Science | Berkeley, California
May 2022
UBC Science Early Career Invited Lecture
Institute for Applied Mathematics | University of British Columbia
March 2022
