Representations of Entropy and of the Relations Same and Different Early in Human Development. - Rebecca Zhu; Jean-Rémy Hochmann; Sophia Sanborn; Susan Carey (CogSci, 2016)

Representational efficiency outweighs action efficiency in human program induction. - Sophia Sanborn; David Bourgin; Michael Chang 003; Tom Griffiths 001 (CogSci, 2018)

Learning How to Generalize. - Joseph L. Austerweil; Sophia Sanborn; Thomas L. Griffiths 001 (Cogn. Sci., 2019)

Efficient Neuromorphic Signal Processing with Loihi 2. - Garrick Orchard; Edward Paxon Frady; Daniel Ben Dayan Rubin; Sophia Sanborn; Sumit Bam Shrestha; Friedrich T. Sommer; Mike Davies 002 (SiPS, 2021)

A Group Theoretic Framework for Neural Computation - Sophia Sanborn (2021)

Preface. - Sophia Sanborn; Christian Shewmake; Simone Azeglio; Arianna Di Bernardo; Nina Miolane (NeurReps, 2022)

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; et al. (TAG-ML, 2022)

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; et al. (CoRR, 2022)

Efficient Neuromorphic Signal Processing with Resonator Neurons. - Edward Paxon Frady; Sophia Sanborn; Sumit Bam Shrestha; Daniel Ben Dayan Rubin; Garrick Orchard; Friedrich T. Sommer; Mike Davies 002 (J. Signal Process. Syst., 2022)

Quantifying Extrinsic Curvature in Neural Manifolds. - Francisco Acosta; Sophia Sanborn; Khanh Dao Duc; Manu S. Madhav; Nina Miolane (CVPR Workshops, 2023)

Bispectral Neural Networks. - Sophia Sanborn; Christian Shewmake; Bruno A. Olshausen; Christopher J. Hillar (ICLR, 2023)

Preface. - Sophia Sanborn; Christian Shewmake; Simone Azeglio; Nina Miolane (NeurReps, 2023)

A General Framework for Robust G-Invariance in G-Equivariant Networks. - Sophia Sanborn; Nina Miolane (NeurIPS, 2023)

Preface. - Timothy Doster; Tegan Emerson; Henry Kvinge; Nina Miolane; Mathilde Papillon; Bastian Rieck; Sophia Sanborn (TAG-ML, 2023)

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; et al. (TAG-ML, 2023)

Architectures of Topological Deep Learning: A Survey on Topological Neural Networks. - Mathilde Papillon; Sophia Sanborn; Mustafa Hajij; Nina Miolane (CoRR, 2023)

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; et al. (CoRR, 2023)

Identifying Interpretable Visual Features in Artificial and Biological Neural Systems. - David A. Klindt; Sophia Sanborn; Francisco Acosta; Frédéric Poitevin; Nina Miolane (CoRR, 2023)

Exploring the hierarchical structure of human plans via program generation. - Carlos G. Correa; Sophia Sanborn; Mark K. Ho; Frederick Callaway; Nathaniel D. Daw; Thomas L. Griffiths 001 (CoRR, 2023)

Harmonics of Learning: Universal Fourier Features Emerge in Invariant Networks. - Giovanni Luca Marchetti; Christopher J. Hillar; Danica Kragic; Sophia Sanborn (COLT, 2024)

The Selective G-Bispectrum and its Inversion: Applications to G-Invariant Networks. - Simon Mataigne; Johan Mathe; Sophia Sanborn; Christopher Hillar; Nina Miolane (NeurIPS, 2024)

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)

NeuroAI for AI Safety. - Patrick J. Mineault; Niccoló Zanichelli; Joanne Zichen Peng; Anton Arkhipov; Eli Bingham; Julian Jara-Ettinger; Emily Mackevicius; Adam H. Marblestone; Marcelo Mattar; Andrew Payne; Sophia Sanborn; Karen Schroeder; et al. (CoRR, 2024)