Bringing together researchers at the intersection of geometric deep learning, applied geometry, and neuroscience to uncover geometric principles for neural representations
In recent years, there has been a growing appreciation for the importance of modeling the geometric structure in data — a perspective that has developed in both the geometric deep learning and applied geometry communities. In parallel, an emerging set of findings in neuroscience suggests that group-equivariance and the preservation of geometry and topology may be fundamental principles of neural coding in biology.
This workshop will bring together researchers from geometric deep learning and geometric statistics with theoretical and empirical neuroscientists whose work reveals the elegant implementation of geometric structure in biological neural circuitry. Group theory and geometry were instrumental in unifying models of fundamental forces and elementary particles in 20th-century physics. Likewise, they have the potential to unify our understanding of how neural systems form useful representations of the world.
The goal of this workshop is to unify the emerging paradigm shifts towards structured representations in deep networks and the geometric modeling of neural data — while promoting a solid mathematical foundation in algebra, geometry, and topology.
Invited Speakers and Panelists
Bruno Olshausen
UC Berkeley
Irina Higgins
DeepMind
Taco Cohen
Qualcomm
Erik Bekkers
UvA
Rose Yu
UC San Diego
Kristopher Jensen
Cambridge
Gabriel Kreiman
Harvard
Manu Madhav
UBC
Contributed Talks
John Vastola
Vanderbilt
Noah Shutty
Sharvaree Vadgama
UvA
Sékou-Oumar Kaba
Mila
Sarah McGuire
Michigan State
Hamza Keurti
ETH Zurich
Federico Barbero
Oxford
Andreaa Deac
Mila
Chaitanya Joshi
Cambridge
Matthew Farrell
Harvard
Organizers
Sophia Sanborn
UC Santa Barbara
Christian Shewmake
UC Berkeley
Simone Azeglio
Institut Pasteur
Arianna Di Bernardo
Ecole Normale Superieure
Nina Miolane
UC Santa Barbara
Program Committee
Nicolas Guigui (CNRS)
Frank Nielsen (Sony CSL)
Yubei Chen (Meta AI Research)
Claire Donnat (University of Chicago)
Alessandro Sarti (CNRS)
Santiago Cadena (Max Planck School for Intelligent Systems)
Adele Myers (UC Santa Barbara)
James Whittington (Oxford / Stanford)
Tamar Flash (Weizmann Institute of Science)
Maurice Weiler (University of Amsterdam)
Elodie Maignant (Inria)
Francisco Acosta (UC Santa Barbara)
David Klindt (Meta Reality Labs)
Sarah Marzen (Claremont College)
Christopher Hillar (Awecom, Inc)
Bruno Olshausen (UC Berkeley)
Mathilde Papillon (UC Santa Barbara)
Khanh Dao Duc (UBC)
Anna Calissano (Inria)
Will Dorrell (UCL)
Alexandra Libby (Princeton)
Alice Le Brigant (Université Paris)
Erik Bekkers (University of Amsterdam)
Tatyana Sharpee (Salk Institute for Biological Studies)
Xiangru Huang (MIT)
Oded Stein (MIT)
Federico Claudi (Sainsbury Wellcome Center)
Henry Adams (Colorado State)
Emanuele Rodolà (Sapienza University)
Justin Solomon (MIT)
Stéphane Deny (Aalto University)
Dorina Thanou (EPFL)
Simon Mathis (University of Cambridge)
Dylan Paiton (ElementFi)
Pim de Haan (UvA)
Joey Bose (MILA)
Adrian Valente (Ecole Normale Superieure)
Mikail Khona (MIT)
Alex Williams (NYU / Flatiron)
Manu Madhav (UBC)
Bastian Rieck (Helmholtz Munich)
Geoffrey Woollard (UBC)
Shayan Shekarforoush (University of Toronto)
Shubhendu Trivedi
Søren Hauberg (DTU)
Blake Bordelon (Harvard)
Patrick Rubin-Delanchy (University of Bristol)
Frédéric Barbaresco (Thales)
Francesco Di Giovanni (Twitter)
Sylvain Chevallier (Univ. Paris-Saclay)
Edouard Oyallon (CNRS)
Uri Cohen (Hebrew University of Jerusalem)
Rongjie Lai (RPI)
Kathryn Hess (EPFL)
Christoph Ortner (UBC)
Boyan Beronov (UBC)
Yann Thanwerdas (Inria)
Emanuele Rossi (Twitter)
Wolfgang Polonik (UC Davis)
Noah Shutty (Google)
Davide Boscaini (Fondazione Bruno Kessler)
Kaitlin Maile (University of Toulouse)
Jacob Zavatone-Veth (Harvard)
Manos Theodosis (Harvard)
Balasubramaniam Srinivasan (Purdue)
Hannah Lawrence (MIT)
Ondrej Biza (Northeastern)
Wei Ye (University of Minnesota)
Christopher Kim (NIH)
David Klee (Northeastern)
Xiaoling Hu (Stony Brook)
Rucha Joshi (NISER)
Vincent Benenati (UC Santa Barbara)
Xinling Yu (UC Santa Barbara)
Emanuele Marconato (University of Trento)
Bilal Alsallakh (Meta)
Maksim Zhdanov (Helmholtz AI)
Donlapark Ponnoprat (Chiang Mai University)
Rana Shahroz (Vanderbilt)
Kartik Sharma (Georgia Tech)
Mitchell Ostrow (MIT)
Valentino Maiorca (Sapienza University)
Marco Fumero (Sapienza University)
David Robin (Inria)
Alison Poupin (DTU)
Hrittik Roy (DTU)
Sharvaree Vadgama (UvA)
Jonathan Huml (Harvard)
Clementine Domine (UCL)
Johan Mathe (Atmo)
Grégoire Sergeant-Perthuis (University of Artois)
Sina Tootoonian (Francis Crick Institute)
Marco Pegoraro (Sapienza University)
Chris Kymn (UC Berkeley)
Kristopher Jensen (University of Cambridge)
Ilyes Batatia (ENS Paris Saclay / University of Cambridge)
Andrew Ligeralde (UC Berkeley)