The Manifold Scattering Transform for High-Dimensional Point Cloud Data. - Joyce A. Chew; Holly R. Steach; Siddharth Viswanath; Hau-Tieng Wu; Matthew J. Hirn; Deanna Needell; Matthew D. Vesely; Smita Krishnaswamy; Michael Perlmutter (TAG-ML, 2022)

The Manifold Scattering Transform for High-Dimensional Point Cloud Data. - Joyce A. Chew; Holly R. Steach; Siddharth Viswanath; Hau-Tieng Wu; Matthew J. Hirn; Deanna Needell; Smita Krishnaswamy; Michael Perlmutter (CoRR, 2022)

Geometric Scattering on Measure Spaces. - Joyce A. Chew; Matthew J. Hirn; Smita Krishnaswamy; Deanna Needell; Michael Perlmutter; Holly R. Steach; Siddharth Viswanath; Hau-Tieng Wu (CoRR, 2022)

Inferring Metabolic States from Single Cell Transcriptomic Data via Geometric Deep Learning. - Holly R. Steach; Siddharth Viswanath; Yixuan He; Xitong Zhang; Natalia Ivanova; Matthew J. Hirn; Michael Perlmutter; Smita Krishnaswamy (RECOMB, 2024)

Convergence of Manifold Filter-Combine Networks. - David R. Johnson; Joyce A. Chew; Siddharth Viswanath; Edward De Brouwer; Deanna Needell; Smita Krishnaswamy; Michael Perlmutter (CoRR, 2024)

ProtSCAPE: Mapping the landscape of protein conformations in molecular dynamics. - Siddharth Viswanath; Dhananjay Bhaskar; David R. Johnson; João F. Rocha; Egbert Castro; Jackson D. Grady; Alex T. Grigas; Michael A. Perlmutter; Corey S. O'Hern; Smita Krishnaswamy (CoRR, 2024)

Exploring the Manifold of Neural Networks Using Diffusion Geometry. - Elliott Abel; Peyton Crevasse; Yvan Grinspan; Selma Mazioud; Folu Ogundipe; Kristof Reimann; Ellie Schueler; Andrew J. Steindl; Ellen Zhang; Dhananjay Bhaskar; Siddharth Viswanath; Yanlei Zhang; et al. (CoRR, 2024)

FoodVideoQA: A Novel Baseline Framework for Dietary Monitoring. - Krish Shah; Siddharth Viswanath; Pengcheng Xi; Alexander Wong; Yuhao Chen 001 (CVPR Workshops, 2025)

HiPoNet: A Topology-Preserving Multi-View Neural Network For High Dimensional Point Cloud and Single-Cell Data. - Siddharth Viswanath; Hiren Madhu; Dhananjay Bhaskar; Jake Kovalic; David R. Johnson; Rex Ying; Christopher J. Tape; Ian Adelstein; Michael Perlmutter; Smita Krishnaswamy (CoRR, 2025)

HEIST: A Graph Foundation Model for Spatial Transcriptomics and Proteomics Data. - Hiren Madhu; João F. Rocha; Tinglin Huang; Siddharth Viswanath; Smita Krishnaswamy; Rex Ying (CoRR, 2025)

SlepNet: Spectral Subgraph Representation Learning for Neural Dynamics. - Siddharth Viswanath; Rahul Singh; Yanlei Zhang; J. Adam Noah; Joy Hirsch; Smita Krishnaswamy (CoRR, 2025)