Sophia Sanborn

34 papers A* 4B 2Journal 17Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	From Kepler to Newton: Inductive Biases Guide Learned World Models in Transformers. CoRR Ziming Liu, Sophia Sanborn, Surya Ganguli, Andreas S. Tolias
2025	J	`jnl`	Beyond Euclid: an illustrated guide to modern machine learning with geometric, topological, and algebraic structures. Mach. Learn. Sci. Technol. Mathilde Papillon, Sophia Sanborn, Johan Mathe, Louisa Cornelis, Abby Bertics, Domas Buracas, Hansen Lillemark, Christian Shewmake, Fatih Dinc, Xavier Pennec, Nina Miolane
2024	J	`jnl`	Beyond Euclid: An Illustrated Guide to Modern Machine Learning with Geometric, Topological, and Algebraic Structures. CoRR Sophia Sanborn, Johan Mathe, Mathilde Papillon, Domas Buracas, Hansen Lillemark, Christian Shewmake, Abby Bertics, Xavier Pennec, Nina Miolane
2024	A*	`conf`	Harmonics of Learning: Universal Fourier Features Emerge in Invariant Networks. COLT Giovanni Luca Marchetti, Christopher J. Hillar, Danica Kragic, Sophia Sanborn
2024	J	`jnl`	NeuroAI for AI Safety. CoRR 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, Zenna Tavares, Andreas S. Tolias
2024	A*	`conf`	The Selective G-Bispectrum and its Inversion: Applications to G-Invariant Networks. NeurIPS Simon Mataigne, Johan Mathe, Sophia Sanborn, Christopher Hillar, Nina Miolane
2024	J	`jnl`	The Selective G-Bispectrum and its Inversion: Applications to G-Invariant Networks. CoRR Simon Mataigne, Johan Mathe, Sophia Sanborn, Christopher Hillar, Nina Miolane
2023	A*	`conf`	A General Framework for Robust G-Invariance in G-Equivariant Networks. NeurIPS Sophia Sanborn, Nina Miolane
2023	J	`jnl`	A General Framework for Robust G-Invariance in G-Equivariant Networks. CoRR Sophia Sanborn, Nina Miolane
2023	J	`jnl`	Architectures of Topological Deep Learning: A Survey on Topological Neural Networks. CoRR Mathilde Papillon, Sophia Sanborn, Mustafa Hajij, Nina Miolane
2023	A*	`conf`	Bispectral Neural Networks. ICLR Sophia Sanborn, Christian Shewmake, Bruno A. Olshausen, Christopher J. Hillar
2023	J	`jnl`	Exploring the hierarchical structure of human plans via program generation. CoRR Carlos G. Correa, Sophia Sanborn, Mark K. Ho, Frederick Callaway, Nathaniel D. Daw, Thomas L. Griffiths
2023	J	`jnl`	Harmonics of Learning: Universal Fourier Features Emerge in Invariant Networks. CoRR Giovanni Luca Marchetti, Christopher Hillar, Danica Kragic, Sophia Sanborn
2023	J	`jnl`	ICML 2023 Topological Deep Learning Challenge : Design and Results. CoRR 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, Jan Meissner, Soham Mukherjee, Shreyas N. Samaga, Karthikeyan Natesan Ramamurthy, Maneel Reddy Karri, Paul Rosen, Sophia Sanborn, Michael Scholkemper, Robin Walters, Jens Agerberg, Georg Bökman, Sadrodin Barikbin, Claudio Battiloro, Gleb Bazhenov, Guillermo Bernárdez, Aiden Brent, Sergio Escalera, Simone Fiorellino, Dmitrii Gavrilev, Mohammed Hassanin, Paul Häusner, Odin Hoff Gardaa, Abdelwahed Khamis, Manuel Lecha, German Magai, Tatiana Malygina, Pavlo Melnyk, et al.
2023	—	`conf`	ICML 2023 Topological Deep Learning Challenge: Design and Results. TAG-ML 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, Dmitrii Gavrilev, Georg Bökman, German Magai, Gleb Bazhenov, Guillermo Bernárdez, Indro Spinelli, Jens Agerberg, Kalyan Varma Nadimpalli, Lev Telyatnikov, Luca Scofano, Lucia Testa, Manuel Lecha, Maosheng Yang, Mohammed Hassanin, Odin Hoff Gardaa, Olga Zaghen, Paul Häusner, Paul Snopoff, Pavlo Melnyk, Rubén Ballester, Sadrodin Barikbin, Sergio Escalera, Simone Fiorellino, Henry Kvinge, Jan Meissner, Karthikeyan Natesan Ramamurthy, Michael Scholkemper, Paul Rosen, Robin Walters, Shreyas N. Samaga, Soham Mukherjee, Sophia Sanborn, Tegan Emerson, Timothy Doster, Tolga Birdal, Vincent P. Grande, Abdelwahed Khamis, Simone Scardapane, Suraj Singh, Tatiana Malygina, Yixiao Yue, Nina Miolane
2023	J	`jnl`	Identifying Interpretable Visual Features in Artificial and Biological Neural Systems. CoRR David A. Klindt, Sophia Sanborn, Francisco Acosta, Frédéric Poitevin, Nina Miolane
2023	—	`ed.`	NeurIPS Workshop on Symmetry and Geometry in Neural Representations, 16 December 2023, New Orleans, Lousiana, USA. NeurReps Sophia Sanborn, Christian Shewmake, Simone Azeglio, Nina Miolane
2023	—	`conf`	Preface. NeurReps Sophia Sanborn, Christian Shewmake, Simone Azeglio, Nina Miolane
2023	—	`conf`	Preface. TAG-ML Timothy Doster, Tegan Emerson, Henry Kvinge, Nina Miolane, Mathilde Papillon, Bastian Rieck, Sophia Sanborn
2023	—	`conf`	Quantifying Extrinsic Curvature in Neural Manifolds. CVPR Workshops Francisco Acosta, Sophia Sanborn, Khanh Dao Duc, Manu S. Madhav, Nina Miolane
2023	—	`ed.`	Topological, Algebraic and Geometric Learning Workshops 2023, 28 July 2023, Honolulu, HI, USA TAG-ML Timothy Doster, Tegan Emerson, Henry Kvinge, Nina Miolane, Mathilde Papillon, Bastian Rieck, Sophia Sanborn
2022	J	`jnl`	Bispectral Neural Networks. CoRR Sophia Sanborn, Christian Shewmake, Bruno A. Olshausen, Christopher Hillar
2022	J	`jnl`	Efficient Neuromorphic Signal Processing with Resonator Neurons. J. Signal Process. Syst. Edward Paxon Frady, Sophia Sanborn, Sumit Bam Shrestha, Daniel Ben Dayan Rubin, Garrick Orchard, Friedrich T. Sommer, Mike Davies
2022	—	`conf`	ICLR 2022 Challenge for Computational Geometry & Topology: Design and Results. TAG-ML 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, Noga Aharony, Itsik Pe'er, Felix Ambellan, Martin Hanik, Esfandiar Nava-Yazdani, Christoph von Tycowicz, Nina Miolane
2022	J	`jnl`	ICLR 2022 Challenge for Computational Geometry and Topology: Design and Results. CoRR 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 A. Klindt, Erik Hermansen, Melvin Vaupel, Benjamin A. Dunn, Jeffrey Xiong, Noga Aharony, Itsik Pe'er, Felix Ambellan, Martin Hanik, Esfandiar Nava-Yazdani, Christoph von Tycowicz, Nina Miolane
2022	—	`ed.`	NeurIPS Workshop on Symmetry and Geometry in Neural Representations, 03 December 2022, New Orleans, Lousiana, USA NeurReps Sophia Sanborn, Christian Shewmake, Simone Azeglio, Arianna Di Bernardo, Nina Miolane
2022	—	`conf`	Preface. NeurReps Sophia Sanborn, Christian Shewmake, Simone Azeglio, Arianna Di Bernardo, Nina Miolane
2021	—	`—`	A Group Theoretic Framework for Neural Computation Sophia Sanborn
2021	—	`conf`	Efficient Neuromorphic Signal Processing with Loihi 2. SiPS Garrick Orchard, Edward Paxon Frady, Daniel Ben Dayan Rubin, Sophia Sanborn, Sumit Bam Shrestha, Friedrich T. Sommer, Mike Davies
2021	J	`jnl`	Efficient Neuromorphic Signal Processing with Loihi 2. CoRR Garrick Orchard, Edward Paxon Frady, Daniel Ben Dayan Rubin, Sophia Sanborn, Sumit Bam Shrestha, Friedrich T. Sommer, Mike Davies
2019	J	`jnl`	Learning How to Generalize. Cogn. Sci. Joseph L. Austerweil, Sophia Sanborn, Thomas L. Griffiths
2018	B	`conf`	Representational efficiency outweighs action efficiency in human program induction. CogSci Sophia Sanborn, David Bourgin, Michael Chang, Tom Griffiths
2018	J	`jnl`	Representational efficiency outweighs action efficiency in human program induction. CoRR Sophia Sanborn, David D. Bourgin, Michael Chang, Thomas L. Griffiths
2016	B	`conf`	Representations of Entropy and of the Relations Same and Different Early in Human Development. CogSci Rebecca Zhu, Jean-Rémy Hochmann, Sophia Sanborn, Susan Carey