News + Events



For a complete list, please see my CV

UPDATE

The Enigma Project Launches

We're hiring research scientists & engineers in multi-modal deep learning and interpretability to build and understand mechanisms within brain foundation models. Reach out for more information.

August 2024

TALK

AREADNE: Research in Encoding and Decoding of Neural Ensembles

Symmetry & Universality

AREADNE 2024 | Milos, Greece

June 2024

TALK

International Convention on the Mathematics of Neuroscience and AI

Symmetry & Universality
[recording]

NEUROMONSTER 2024 | Rome, Italy

May 2024

UPDATE

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

POSTER

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

WORKSHOP 

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

TALK, PANEL, & POSTER

NeurIPS Workshop on Unifying Representations in Neural Models

TALK
Symmetry & Universality

POSTER
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

PRESS

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

AWARD

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

PRESS

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

PODCAST

Why Deep Networks and Brains
Learn Similar Features

TWiML AI Podcast
Listen on Spotify

August 2023

WORKSHOP 

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

POSTER

CVPR Workshop on Topology, Algebra, and Geometry in Pattern Recognition with Applications

Quantifying Local Extrinsic Curvature in Neural Manifolds

CVPR 2023 | Vancouver, Canada


June 2023

POSTER

International Conference on Learning Representations

Bispectral Neural Networks

ICLR 2023 | Kigali, Rwanda


May 2023

TALK

COSYNE Workshop on Dynamic Geometrical Transformations: 

Language of Flexible Brain Computations

COSYNE | Montreal, Canada


March 2023

TALK

Amsterdam Machine Learning Lab

University of Amsterdam | Amsterdam, Netherlands


February 2023

TALK

SIAM CSE Mini-Symposioum on Geometry and Shape Analysis for Neuroscience

SIAM Computational Science & Engineering | Amsterdam, Netherlands


February 2023

AWARD

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

WORKSHOP 

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

TALK

International Symposium on the Mathematics of Neuroscience

ICNAAM | Crete, Greece


September 2022

TALK & PANEL

Bernstein Workshop on Symmetry, Invariance, and Neural Representations

Bernstein Computational Neuroscience Conference | Berlin, Germany


September 2022

TALK

Machine Learning and Science Forum

Berkeley Institute for Data Science | Berkeley, California


May 2022

TALK

UBC Science Early Career Invited Lecture

Institute for Applied Mathematics | University of British Columbia


March 2022

EmailTwitterGitHubLinkedIn