Stefan C. Schonsheck

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 12

Top Topics

Convolutional Network

Structured Data

Manifold Structure

Top Venues

SIAM J. Imaging Sci.

J. Appl. Comput. Topol.

J. Sci. Comput.

Publications

Nikolas C. Schonsheck, Stefan C. Schonsheck
Spherical coordinates from persistent cohomology. J. Appl. Comput. Topol. 8 (1) (2024)
Naoki Saito, Stefan C. Schonsheck, Eugene Shvarts
Multiscale Hodge Scattering Networks for Data Analysis. CoRR (2023)
Naoki Saito, Stefan C. Schonsheck, Eugene Shvarts
Multiscale Transforms for Signals on Simplicial Complexes. CoRR (2023)
Nikolas C. Schonsheck, Stefan C. Schonsheck
Spherical Coordinates from Persistent Cohomology. CoRR (2022)
Stefan C. Schonsheck, Bin Dong, Rongjie Lai
Parallel Transport Convolution: Deformable Convolutional Networks on Manifold-Structured Data. SIAM J. Imaging Sci. 15 (1) (2022)
Stefan C. Schonsheck, Scott Mahan, Timo Klock, Alexander Cloninger, Rongjie Lai
Semi-Supervised Manifold Learning with Complexity Decoupled Chart Autoencoders. CoRR (2022)
Stefan C. Schonsheck, Michael M. Bronstein, Rongjie Lai
Nonisometric Surface Registration via Conformal Laplace-Beltrami Basis Pursuit. J. Sci. Comput. 86 (3) (2021)
Stefan C. Schonsheck
Computational Analysis of Deformable Manifolds: from Geometric Modelling to Deep Learning. CoRR (2020)
N. Joseph Tatro, Stefan C. Schonsheck, Rongjie Lai
Unsupervised Geometric Disentanglement for Surfaces via CFAN-VAE. CoRR (2020)
Stefan C. Schonsheck, Jie Chen, Rongjie Lai
Chart Auto-Encoders for Manifold Structured Data. CoRR (2019)
Stefan C. Schonsheck, Michael M. Bronstein, Rongjie Lai
Nonisometric Surface Registration via Conformal Laplace-Beltrami Basis Pursuit. CoRR (2018)
Stefan C. Schonsheck, Bin Dong, Rongjie Lai
Parallel Transport Convolution: A New Tool for Convolutional Neural Networks on Manifolds. CoRR (2018)