Stefan C. Schonsheck

12 papers Journal 12
YearRankTypeTitle / Venue / Authors
2024 J jnl
Spherical coordinates from persistent cohomology.
J. Appl. Comput. Topol.
Nikolas C. Schonsheck, Stefan C. Schonsheck
2023 J jnl
Multiscale Hodge Scattering Networks for Data Analysis.
CoRR
Naoki Saito, Stefan C. Schonsheck, Eugene Shvarts
2023 J jnl
Multiscale Transforms for Signals on Simplicial Complexes.
CoRR
Naoki Saito, Stefan C. Schonsheck, Eugene Shvarts
2022 J jnl
Parallel Transport Convolution: Deformable Convolutional Networks on Manifold-Structured Data.
SIAM J. Imaging Sci.
Stefan C. Schonsheck, Bin Dong, Rongjie Lai
2022 J jnl
Semi-Supervised Manifold Learning with Complexity Decoupled Chart Autoencoders.
CoRR
Stefan C. Schonsheck, Scott Mahan, Timo Klock, Alexander Cloninger, Rongjie Lai
2022 J jnl
Spherical Coordinates from Persistent Cohomology.
CoRR
Nikolas C. Schonsheck, Stefan C. Schonsheck
2021 J jnl
Nonisometric Surface Registration via Conformal Laplace-Beltrami Basis Pursuit.
J. Sci. Comput.
Stefan C. Schonsheck, Michael M. Bronstein, Rongjie Lai
2020 J jnl
Computational Analysis of Deformable Manifolds: from Geometric Modelling to Deep Learning.
CoRR
Stefan C. Schonsheck
2020 J jnl
Unsupervised Geometric Disentanglement for Surfaces via CFAN-VAE.
CoRR
N. Joseph Tatro, Stefan C. Schonsheck, Rongjie Lai
2019 J jnl
Chart Auto-Encoders for Manifold Structured Data.
CoRR
Stefan C. Schonsheck, Jie Chen, Rongjie Lai
2018 J jnl
Nonisometric Surface Registration via Conformal Laplace-Beltrami Basis Pursuit.
CoRR
Stefan C. Schonsheck, Michael M. Bronstein, Rongjie Lai
2018 J jnl
Parallel Transport Convolution: A New Tool for Convolutional Neural Networks on Manifolds.
CoRR
Stefan C. Schonsheck, Bin Dong, Rongjie Lai