Johan Mathe

MS student, Stanford University

Joined

July 2019

Names

Johan Mathe

Emails

****@froglabs.ai (Confirmed)

****@atmo.ai (Confirmed)

****@gmail.com (Confirmed)

Personal Links

Homepage

Google Scholar

Career & Education History

MS student

Stanford University (stanford.edu)

2010 – Present

Université de Technologie de Compiègne (utc.fr)

2003 – 2008

Advisors, Relations & Conflicts

Coauthor

Nina Miolane

2015 – 2016

Expertise

Optimization

Present

Riemannian Geometry

Present

Deep Learning

Present

Publications

The Selective $G$-Bispectrum and its Inversion: Applications to $G$-Invariant Networks
Simon Mataigne, Johan Mathe, Sophia Sanborn, Christopher Hillar, Nina Miolane
- NeurIPS 2024 poster
- Readers: Everyone
The Selective G-Bispectrum and its Inversion: Applications to G-Invariant Networks
Simon Mataigne, Johan Mathe, Sophia Sanborn, Christopher Hillar, Nina Miolane
- NeurIPS 2024
- Readers: Everyone
ICML Topological Deep Learning Challenge 2024: Beyond the Graph Domain
Guillermo Bernárdez, Lev Telyatnikov, Marco Montagna, Federica Baccini, Mathilde Papillon, Miquel Ferriol Galmés, Mustafa Hajij, Theodore Papamarkou, Maria Sofia Bucarelli, Olga Zaghen, Johan Mathe, Audun Myers, Scott Mahan, Hansen Lillemark, Sharvaree P. Vadgama, Erik J. Bekkers, Tim Doster, Tegan Emerson, Henry Kvinge, Katrina Agate et al. (53 additional authors not shown)
- CoRR 2024
- Readers: Everyone
Beyond Euclid: An Illustrated Guide to Modern Machine Learning with Geometric, Topological, and Algebraic Structures
Sophia Sanborn, Johan Mathe, Mathilde Papillon, Domas Buracas, Hansen Lillemark, Christian Shewmake, Abby Bertics, Xavier Pennec, Nina Miolane
- CoRR 2024
- Readers: Everyone
ICML 2023 Topological Deep Learning Challenge : Design and Results
Mathilde Papillon, Mustafa Hajij, Florian Frantzen, Josef Hoppe, Helen Jenne, Johan Mathe, Audun Myers, Theodore Papamarkou, Michael T. Schaub, Ghada Zamzmi, Tolga Birdal, Tamal K. Dey, Tim Doster, Tegan Emerson, Gurusankar Gopalakrishnan, Devendra Govil, Vincent P. Grande, Aldo Guzmán-Sáenz, Henry Kvinge, Neal Livesay et al. (28 additional authors not shown)
- CoRR 2023
- Readers: Everyone
ICML 2023 Topological Deep Learning Challenge: Design and Results
Mathilde Papillon, Mustafa Hajij, Audun Myers, Florian Frantzen, Ghada Zamzmi, Helen Jenne, Johan Mathe, Josef Hoppe, Michael T. Schaub, Theodore Papamarkou, Aldo Guzmán-Sáenz, Bastian Rieck, Neal Livesay, Tamal K. Dey, Abraham Rabinowitz, Aiden Brent, Alessandro Salatiello, Alexander Nikitin, Ali Zia, Claudio Battiloro et al. (42 additional authors not shown)
- TAG-ML 2023
- Readers: Everyone
ICLR 2022 Challenge for Computational Geometry and Topology: Design and Results
Adele Myers, Saiteja Utpala, Shubham Talbar, Sophia Sanborn, Christian Shewmake, Claire Donnat, Johan Mathe, Umberto Lupo, Rishi Sonthalia, Xinyue Cui, Tom Szwagier, Arthur Pignet, Andri Bergsson, Søren Hauberg, Dmitriy Nielsen, Stefan Sommer, David Klindt, Erik Hermansen, Melvin Vaupel, Benjamin Dunn et al. (8 additional authors not shown)
- 2022 (modified: 27 Jul 2022)
- CoRR 2022
- Readers: Everyone
ICLR 2022 Challenge for Computational Geometry & Topology: Design and Results
Adele Myers, Saiteja Utpala, Shubham Talbar, Sophia Sanborn, Christian Shewmake, Claire Donnat, Johan Mathe, Rishi Sonthalia, Xinyue Cui, Tom Szwagier, Arthur Pignet, Andri Bergsson, Søren Hauberg, Dmitriy Nielsen, Stefan Sommer, David A. Klindt, Erik Hermansen, Melvin Vaupel, Benjamin A. Dunn, Jeffrey Xiong et al. (7 additional authors not shown)
- Published: 01 Jan 2022, Last Modified: 05 Feb 2024
- TAG-ML 2022
- Readers: Everyone
ICLR 2021 Challenge for Computational Geometry & Topology: Design and Results
Nina Miolane, Matteo Caorsi, Umberto Lupo, Marius Guerard, Nicolas Guigui, Johan Mathe, Yann Cabanes, Wojciech Reise, Thomas Davies, António Leitão, Somesh Mohapatra, Saiteja Utpala, Shailja Shailja, Gabriele Corso, Guoxi Liu, Federico Iuricich, Andrei Manolache, Mihaela Nistor, Matei Bejan, Armand Mihai Nicolicioiu et al. (13 additional authors not shown)
- 2021 (modified: 07 Oct 2022)
- CoRR 2021
- Readers: Everyone

View all 14 publications

Co-Authors

View all 199 co-authors