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Applied and Computational Harmonic Analysis|October 9, 2023
On Generalizations of the Nonwindowed Scattering TransformAlbert Chua, Matthew Hirn, Anna LittleInformation and Inference : a Journal of the IMA|January 24, 2022
Wavelet invariants for statistically robust multi-reference alignmentMatthew Hirn, Anna LittleProceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing. ICASSP (Conference)|September 12, 2022
SCATTERING STATISTICS OF GENERALIZED SPATIAL POISSON POINT PROCESSESMichael Perlmutter, Jieqian He, Matthew HirnBioinformatics (Oxford, England)|January 23, 2023
Accurately modeling biased random walks on weighted networks using node2vecRenming Liu, Matthew Hirn, Arjun KrishnanJournal of Computational Chemistry|March 31, 2021
ClassicalGSG: Prediction of log P using classical molecular force fields and geometric scattering for graphsNazanin Donyapour, Matthew Hirn, Alex DicksonProceedings of Machine Learning Research|August 9, 2021
Geometric Wavelet Scattering Networks on Compact Riemannian ManifoldsMichael Perlmutter, Feng Gao, Guy Wolf, et al.Conference Record. Asilomar Conference on Signals, Systems & Computers|September 2, 2022
A Hybrid Scattering Transform for Signals with Isolated SingularitiesMichael Perlmutter, Jieqian He, Mark Iwen, et al.The Journal of Chemical Physics|July 2, 2018
Solid harmonic wavelet scattering for predictions of molecule propertiesMichael Eickenberg, Georgios Exarchakis, Matthew Hirn, et al.Advances in Neural Information Processing Systems|September 1, 2022
MagNet: A Neural Network for Directed GraphsXitong Zhang, Yixuan He, Nathan Brugnone, et al.Journal of Geophysical Research. Solid Earth|April 10, 2023
Spatiotemporal Graph Convolutional Networks for Earthquake Source CharacterizationXitong Zhang, Will Reichard-Flynn, Miao Zhang, et al.Pageof 2