Recent Publications

For a complete list, please see my Google Scholar

A General Framework for Robust G-Invariance in G-Equivariant Networks

Sanborn, S., Miolane, N. (2023).
Submitted to NeurIPS.

#geometric-deep-learning #group-theory #equivariant-networks

Bispectral Neural Networks

Sanborn, S., Shewmake, C., Olshausen, B., Hillar, C. (2023).
International Conference on Learning Representations (ICLR)

#geometric-deep-learning #group-theory

[paper] [twitter thread]

Architectures of Topological Deep Learning:
A Survey on Topological Neural Networks

Papillon, M., Sanborn, S., Hajij, M., Miolane, N. (2023)
Submitted to Nature Machine Intelligence

#topological-deep-learning #topology

[paper] [twitter thread]

Quantifying Local Extrinsic Curvature in Neural Manifolds

Acosta, F., Sanborn, S., Duc, K.D., Madhav, M., Miolane, N. (2023)
IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

#neural-data-analysis #computational-neuroscience #differential-geometry

[paper] [twitter thread]