Select Talks

Group Invariant Scattering on Graphs, Manifolds, and Other Measure Spaces - (Slides) In this talk: 1) An overview of the Scattering Transform 2) The Scattering Transform on Graphs and Manifolds 3) Extensions to General Measure Spaces 4) Applications to Combinatorial Optimization, Drug Discovery, and Single Cell Data 5) Convergence of the Manifold Scattering Transform from Finitely Many Samples

The Scattering Transform for Data with Geometric Structure - BIRS workshop on Deep Exploration of non-Euclidean Data - (Slides) In this talk: 1) An overview of the Scattering Transform 2) The Scattering Transform on Graphs and Manifolds 3) Incorporating Learning into the Geometric Scattering Transform

Convolutional Networks on Graphs - CodEx Seminar - (Slides) In this talk: 1) Common machine learning tasks for Graph-Structured Data 2) The Graph Laplacian and Graph Neural Networks 3) The Oversmoothing Problem and the Graph Scattering Transform 4) The Magnetic Laplacian and Directed Graphs

Geometric Scattering and Applications - ICERM Workshop on Geometric and Topological Methods in Data Science - (Slides) In this talk: 1) An overview of the Scattering Transform 2) The Scattering Transform on Graphs and Manifolds 3) Applications to Drug Discovery