Sanborn, Sophia

7 publications

ICLR 2026 OmniMouse: Scaling Properties of Multi-Modal, Multi-Task Brain Models on 150b Neural Tokens Konstantin Friedrich Willeke, Polina Turishcheva, Alex Gilbert, Goirik Chakrabarty, Hasan Atakan Bedel, Paul G. Fahey, Yongrong Qiu, Marissa A. Weis, Michaela Vystrčilová, Taliah Muhammad, Lydia Ntanavara, Rachel E Froebe, Kayla Ponder, Zheng Huan Tan, Emin Orhan, Erick Cobos, Sophia Sanborn, Katrin Franke, Fabian H. Sinz, Alexander S. Ecker, Andreas S. Tolias

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

NeurIPS 2024 The Selective $g$-Bispectrum and Its Inversion: Applications to $g$-Invariant Networks Simon Mataigne, Johan Mathe, Sophia Sanborn, Christopher Hillar, Nina Miolane

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

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

NeurIPSW 2023 Evaluation of Representational Similarity Scores Across Human Visual Cortex Francisco Acosta, Colin Conwell, Sophia Sanborn, David A. Klindt, Nina Miolane

CVPRW 2023 Quantifying Extrinsic Curvature in Neural Manifolds Francisco Acosta, Sophia Sanborn, Khanh Dao Duc, Manu S. Madhav, Nina Miolane