Recent Publications
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]