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Michael Perlmutter
Jieqian He
Matthew Hirn

Showing results (1-10 of 27) with videos related to

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Proceedings 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 Hirn
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.
Proceedings of Machine Learning Research|August 9, 2021
Geometric Wavelet Scattering Networks on Compact Riemannian ManifoldsMichael Perlmutter, Feng Gao, Guy Wolf, 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.
Biorxiv : the Preprint Server for Biology|December 18, 2023
Inferring Metabolic States from Single Cell Transcriptomic Data via Geometric Deep LearningHolly Steach, Siddharth Viswanath, Yixuan He, et al.
Applied and Computational Harmonic Analysis|July 21, 2025
Geometric Scattering on Measure SpacesJoyce Chew, Matthew Hirn, Smita Krishnaswamy, et al.
Proceedings of Machine Learning Research|May 9, 2023
The Manifold Scattering Transform for High-Dimensional Point Cloud DataJoyce Chew, Holly R Steach, Siddharth Viswanath, et al.
Information and Inference : a Journal of the IMA|January 24, 2022
Wavelet invariants for statistically robust multi-reference alignmentMatthew Hirn, Anna Little
Applied and Computational Harmonic Analysis|October 9, 2023
On Generalizations of the Nonwindowed Scattering TransformAlbert Chua, Matthew Hirn, Anna Little
Bioinformatics (Oxford, England)|January 23, 2023
Accurately modeling biased random walks on weighted networks using node2vecRenming Liu, Matthew Hirn, Arjun Krishnan
Pageof 3

Showing results (1-10 of 27) with videos related to

Sort By:
Pageof 3
Proceedings 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 Hirn
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.
Proceedings of Machine Learning Research|August 9, 2021
Geometric Wavelet Scattering Networks on Compact Riemannian ManifoldsMichael Perlmutter, Feng Gao, Guy Wolf, 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.
Biorxiv : the Preprint Server for Biology|December 18, 2023
Inferring Metabolic States from Single Cell Transcriptomic Data via Geometric Deep LearningHolly Steach, Siddharth Viswanath, Yixuan He, et al.
Applied and Computational Harmonic Analysis|July 21, 2025
Geometric Scattering on Measure SpacesJoyce Chew, Matthew Hirn, Smita Krishnaswamy, et al.
Proceedings of Machine Learning Research|May 9, 2023
The Manifold Scattering Transform for High-Dimensional Point Cloud DataJoyce Chew, Holly R Steach, Siddharth Viswanath, et al.
Information and Inference : a Journal of the IMA|January 24, 2022
Wavelet invariants for statistically robust multi-reference alignmentMatthew Hirn, Anna Little
Applied and Computational Harmonic Analysis|October 9, 2023
On Generalizations of the Nonwindowed Scattering TransformAlbert Chua, Matthew Hirn, Anna Little
Bioinformatics (Oxford, England)|January 23, 2023
Accurately modeling biased random walks on weighted networks using node2vecRenming Liu, Matthew Hirn, Arjun Krishnan
Pageof 3