Media Summary: Recorded 26 February 2026. Michael Perlmutter of Boise State University presents "The Geometric Contributed presentation at 2021 IAP conference "Debating the potential of machine learning in astronomical surveys" Abstract: ... References: Pan, Chao, Siheng Chen, and Antonio Ortega. "Spatio-Temporal

Graph Scattering Transform - Detailed Analysis & Overview

Recorded 26 February 2026. Michael Perlmutter of Boise State University presents "The Geometric Contributed presentation at 2021 IAP conference "Debating the potential of machine learning in astronomical surveys" Abstract: ... References: Pan, Chao, Siheng Chen, and Antonio Ortega. "Spatio-Temporal Short presentation covering our paper "Temporal This is the second part of the video that discussed the use of wavelet for feature extraction from signals and images. The focus ... Speaker: Michael Perlmutter (University of California Los Angeles) Title: Group Invariant

Abstract: We are confronted with signals defined on the nodes of a My name is Artem, I'm a neuroscience PhD student at Harvard University. Website and Social links: MAIS Poster 55: Scattering GCN: Overcoming Oversmoothness in Graph Conv Networks Presentation by Michael Glinsky at HEDSA Meeting. SAND2018-12832 C.

Photo Gallery

Michael Perlmutter - The Geometric Scattering Transform for High-dimensional Data Analysis
Graph Scattering Transform
The scattering transform in cosmology, or, a CNN without Training (Sihao Cheng)
【literature review 21】Spatio-Temporal Graph Scattering Transform
Temporal Graph Neural Networks for Irregular Data, AISTATS 2023 Presentation
Inverse Scattering 101 (Feat. Fioralba Cakoni)
Wavelets-based Feature Extraction - Part2: Wavelet Scattering Transform
Dr. Yang Wang: "Scattering Transform and Stylometry Analysis in Arts"
Michael Perlmutter, Group Invariant Scattering on Graphs, Manifolds, and Other Spaces, 2022.09.06
Michael Schaub: Signal processing on graphs and complexes
Wavelets: a mathematical microscope
MAIS Poster 55: Scattering GCN: Overcoming Oversmoothness in Graph Conv  Networks
View Detailed Profile
Michael Perlmutter - The Geometric Scattering Transform for High-dimensional Data Analysis

Michael Perlmutter - The Geometric Scattering Transform for High-dimensional Data Analysis

Recorded 26 February 2026. Michael Perlmutter of Boise State University presents "The Geometric

Graph Scattering Transform

Graph Scattering Transform

Graph Scattering Transform

The scattering transform in cosmology, or, a CNN without Training (Sihao Cheng)

The scattering transform in cosmology, or, a CNN without Training (Sihao Cheng)

Contributed presentation at 2021 IAP conference "Debating the potential of machine learning in astronomical surveys" Abstract: ...

【literature review 21】Spatio-Temporal Graph Scattering Transform

【literature review 21】Spatio-Temporal Graph Scattering Transform

References: Pan, Chao, Siheng Chen, and Antonio Ortega. "Spatio-Temporal

Temporal Graph Neural Networks for Irregular Data, AISTATS 2023 Presentation

Temporal Graph Neural Networks for Irregular Data, AISTATS 2023 Presentation

Short presentation covering our paper "Temporal

Inverse Scattering 101 (Feat. Fioralba Cakoni)

Inverse Scattering 101 (Feat. Fioralba Cakoni)

Inverse

Wavelets-based Feature Extraction - Part2: Wavelet Scattering Transform

Wavelets-based Feature Extraction - Part2: Wavelet Scattering Transform

This is the second part of the video that discussed the use of wavelet for feature extraction from signals and images. The focus ...

Dr. Yang Wang: "Scattering Transform and Stylometry Analysis in Arts"

Dr. Yang Wang: "Scattering Transform and Stylometry Analysis in Arts"

Presentation by Yang Wang on "

Michael Perlmutter, Group Invariant Scattering on Graphs, Manifolds, and Other Spaces, 2022.09.06

Michael Perlmutter, Group Invariant Scattering on Graphs, Manifolds, and Other Spaces, 2022.09.06

Speaker: Michael Perlmutter (University of California Los Angeles) Title: Group Invariant

Michael Schaub: Signal processing on graphs and complexes

Michael Schaub: Signal processing on graphs and complexes

Abstract: We are confronted with signals defined on the nodes of a

Wavelets: a mathematical microscope

Wavelets: a mathematical microscope

My name is Artem, I'm a neuroscience PhD student at Harvard University. Website and Social links: https://kirsanov.ai/ ...

MAIS Poster 55: Scattering GCN: Overcoming Oversmoothness in Graph Conv  Networks

MAIS Poster 55: Scattering GCN: Overcoming Oversmoothness in Graph Conv Networks

MAIS Poster 55: Scattering GCN: Overcoming Oversmoothness in Graph Conv Networks

The Mallat Scattering Transform (MST) in high energy density plasmas

The Mallat Scattering Transform (MST) in high energy density plasmas

Presentation by Michael Glinsky at HEDSA Meeting. SAND2018-12832 C.