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 GraphsH 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