Publications
In Prep
Mechanistic Interpretability of a Navigational Task in RNNs through Neural Population Geometry
Acosta, F., ..., Miolane, N. (2024).
Under Review
Identifying Interpretable Visual Features in Artificial and Biological Neural Systems.
Klindt, D., Sanborn, S., Acosta, F., Poitevin, F., Miolane, N. (2023). Under Review. [paper]
Conference Publications
Relating Representational Geometry to Cortical Geometry in Visual Cortex.
Acosta, F., Conwell, C., Sanborn, S., Klindt, D., Miolane, N. (2023). NeurIPS Workshop on Unifying Representations in Neural Models. [paper]
Conference Abstracts
The emergence of discrete grid cell modules from smooth gradients in the brain.
Khona, M., Chandra, S., Acosta, F., Fiete, I. (2021) Computational and Systems Neuroscience Conference (COSYNE). [paper]
Software Contributions
Geomstats
Miolane et al. (2023) Geomstats: A Python Package for Riemannian Geometry in Machine Learning. Geomstats release (v2.6.0+). [https://geomstats.github.io]