Stefan C. Schonsheck

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Rongjie LaiProfessor of Mathematics, Purdue UniversityPotvrđena adresa e-pošte na purdue.edu
Bin DongBeijing International Center for Mathematical Research, Peking UniversityPotvrđena adresa e-pošte na math.pku.edu.cn
Jie ChenMIT-IBM Watson AI Lab, IBM ResearchPotvrđena adresa e-pošte na us.ibm.com
Naoki SaitoProfessor of Mathematics, University of California, DavisPotvrđena adresa e-pošte na math.ucdavis.edu
Eugene ShvartsUC DavisPotvrđena adresa e-pošte na ucdavis.edu
Michael BronsteinDeepMind Professor of AI, University of OxfordPotvrđena adresa e-pošte na cs.ox.ac.uk
N. Joseph TatroSenior Researcher, STRPotvrđena adresa e-pošte na rpi.edu
Alexander CloningerAssociate Professor, Department of Mathematics & Halicioglu Data Science Institute, UC San DiegoPotvrđena adresa e-pošte na ucsd.edu
Timo KlockIndependentPotvrđena adresa e-pošte na timoklock.de
Nikolas SchonsheckPostdoc, University of DelawarePotvrđena adresa e-pošte na udel.edu
Han HuangRPIPotvrđena adresa e-pošte na rpi.edu

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Stefan C. Schonsheck

University of California Davis

Potvrđena adresa e-pošte na ucdavis.edu - Početna stranica

Computational Differential Geometry Variational Models Geometric Learning Topological Data Analysis


Naslov Poredaj po navodima Poredaj po godini Poredaj po naslovu	Citirano Citirano	Godina
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	24	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

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