Siddharth Viswanath

According to our database, Siddharth Viswanath authored at least 14 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

BrainDyn: A Sheaf Neural ODE for Generative Brain Dynamics.

Siddharth Viswanath, Panayiotis Ketonis, Chen Liu, Michael Perlmutter, Dhananjay Bhaskar, Smita Krishnaswamy

CoRR, May, 2026

2025

Learning Laplacian Eigenvectors: a Pre-training Method for Graph Neural Networks.

Howard Dai, Nyambura Njenga, Benjamin Whitsett, Catherine Ma, Darwin Deng, Sara de Ángel, Alexandre Van Tassel, Siddharth Viswanath, Ryan Pellico, Ian Adelstein, Smita Krishnaswamy

CoRR, September, 2025

SlepNet: Spectral Subgraph Representation Learning for Neural Dynamics.

Siddharth Viswanath, Rahul Singh, Yanlei Zhang, J. Adam Noah, Joy Hirsch, Smita Krishnaswamy

CoRR, June, 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, June, 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, February, 2025

HiPoNet: A Multi-View Simplicial Complex Network for High Dimensional Point-Cloud and Single-Cell data.

Siddharth Viswanath, Hiren Madhu, Dhananjay Bhaskar, Jake Kovalic, Dave Johnson, Christopher J. Tape, Ian Adelstein, Rex Ying, Michael Perlmutter, Smita Krishnaswamy

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

FoodVideoQA: A Novel Baseline Framework for Dietary Monitoring.

Krish Shah, Siddharth Viswanath, Pengcheng Xi, Alexander Wong, Yuhao Chen

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

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, Tim G. J. Rudner, Ian Adelstein, Smita Krishnaswamy

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

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

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

Proceedings of the Research in Computational Molecular Biology, 2024

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

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

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

Proceedings of the Topological, 2022