Parallel transport convolution: Deformable convolutional networks on manifold-structured data SC Schonsheck, B Dong, R Lai SIAM Journal on Imaging Sciences 15 (1), 367-386, 2022 | 32* | 2022 |
Chart Auto-Encoders for Manifold Structured Data SC Schonsheck, R Lai, J Chen https://arxiv.org/abs/1912.10094, 2019 | 25 | 2019 |
Nonisometric surface registration via conformal Laplace–Beltrami basis pursuit SC Schonsheck, MM Bronstein, R Lai Journal of Scientific Computing 86, 1-24, 2021 | 15 | 2021 |
Unsupervised geometric disentanglement for surfaces via cfan-vae NJ Tatro, SC Schonsheck, R Lai arXiv preprint arXiv:2005.11622, 2020 | 8 | 2020 |
Semi-supervised manifold learning with complexity decoupled chart autoencoders SC Schonsheck, S Mahan, T Klock, A Cloninger, R Lai arXiv preprint arXiv:2208.10570, 2022 | 5 | 2022 |
Spherical coordinates from persistent cohomology NC Schonsheck, SC Schonsheck Journal of Applied and Computational Topology 8 (1), 149-173, 2024 | 4 | 2024 |
Multiscale transforms for signals on simplicial complexes N Saito, SC Schonsheck, E Shvarts Sampling Theory, Signal Processing, and Data Analysis 22 (1), 2, 2024 | 3 | 2024 |
Multiscale hodge scattering networks for data analysis N Saito, SC Schonsheck, E Shvarts arXiv preprint arXiv:2311.10270, 2023 | 2 | 2023 |
Scattering Networks on Simplicial Complexes Using Multiscale Basis Dictionaries N Saito, SC Schonsheck, E Shvarts Fourteenth International Conference on Sampling Theory and Applications, 2023 | | 2023 |
: Representation Learning and Generation for Geometric Graphs H Huang, SC Schonsheck, R Lai, J Chen | | 2021 |
Computational analysis of deformable manifolds: from geometric modeling to deep learning SC Schonsheck Rensselaer Polytechnic Institute, 2020 | | 2020 |
Spherical coordinatizations of data via persistent cohomology N Schonsheck, S Schonsheck 2024 Joint Mathematics Meetings (JMM 2024), 0 | | |