A Convergence Rate for Manifold Neural Networks
arXiv preprint, 2022
Recommended citation: Chew, J.A.; Perlmutter, M.; Needell, D. A Convergence Rate for Manifold Neural Networks. arXiv preprint, 2022. Online access
arXiv preprint, 2022
Recommended citation: Chew, J.A.; Perlmutter, M.; Needell, D. A Convergence Rate for Manifold Neural Networks. arXiv preprint, 2022. Online access
arXiv preprint, 2022
Recommended citation: Cheng, K; Inzer, S.; Leung, A.; Shen, X.; Perlmutter, M.; Lindstrom, M.; Chew, J.A.; Presner, T.; Needell, D. Multi-scale Hybridized Topic Modeling: A Pipeline for Analyzing Unstructured Text Datasets using Topic Modeling. Submitted for publication, 2022. Online access
Analytica Chimica Acta, 2022
Recommended citation: Kazmierczak, N.P.; Chew, J.A.; Vander Griend, D.A. Bootstrap methods for quantifying the uncertainty of binding constants in the hard modeling of spectrophotometric titration data. Analytica Chimica Acta, 2022, 1227:339834. Online access
arXiv preprint, 2022
Recommended citation: Chew, J.A.; Hirn, M.; Krishnaswamy, S.; Needell, D.; Perlmutter, M.; Steach, H.R.; Viswanath, S.; Wu, H.-T. Geometric Scattering on Measure Spaces. Submitted for publication, 2022. Online access
ICML Workshop on Topology, Algebra, and Geometry in Machine Learning, 2022
Recommended citation: Chew, J.A.; Steach, H.R.; Viswanath, S.; Wu, H.-T.; Hirn, M.; Needell, D.; Krishnaswamy, S.; Perlmutter, M. The Manifold Scattering Transform for High-Dimensional Point Cloud Data. arXiv preprint, 2022. Online access
Journal of Chemometrics, 2022
Recommended citation: Kazmierczak, N.P.; Chew, J.A.; Vander Griend, D.A. A reliable algorithm for calculating stoichiometry parameters in the hard modeling of spectrophotometric titration data. Journal of Chemometrics, 2022, 36:e3409. Online access
Algorithms, 2022
Recommended citation: Li, P.; Tseng, C.; Zheng, Y.; Chew, J.A.; Huang, L.; Jarman, B.; Needell, D. Guided Semi-Supervised Non-Negative Matrix Factorization. Algorithms 2022, 15:136 Online access
Journal of Chemometrics, 2019
Recommended citation: Kazmierczak, N.P.; Chew, J.A.; Michmerhuizen, A.R.; Kim, S.E.; Drees, Z.D.; Rylaarsdam, A.; Thong, T.; Van Laar, L.; Vander Griend, D.A. Sensitivity Limits for Determining 1:1 Binding Constants from Spectrophotometric Titrations via Global Analysis. Journal of Chemometrics, 2019, 33:e3119. Online access