Sourabh Palande

According to our database, Sourabh Palande authored at least 13 papers between 2016 and 2025.

Collaborative distances:

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

2025

G-Mapper: Learning a Cover in the Mapper Construction.

Enrique G. Alvarado, Robin Belton, Emily Fischer, Kang-Ju Lee, Sourabh Palande, Sarah Percival, Emilie Purvine

SIAM J. Math. Data Sci., 2025

2024

Any Graph is a Mapper Graph.

Enrique G. Alvarado, Robin Belton, Kang-Ju Lee, Sourabh Palande, Sarah Percival, Emilie Purvine, Sarah Tymochko

CoRR, 2024

2022

Uncertainty Visualization for Graph Coarsening.

Fangfei Lan, Sourabh Palande, Michael Young, Bei Wang

Proceedings of the IEEE International Conference on Big Data, 2022

2021

Sketching Merge Trees.

Mingzhe Li, Sourabh Palande, Bei Wang

CoRR, 2021

TopoAct: Visually Exploring the Shape of Activations in Deep Learning.

Archit Rathore, Nithin Chalapathi, Sourabh Palande, Bei Wang

Comput. Graph. Forum, 2021

2020

Utilizing Topological Structures of Data for Machine Learning.

Sourabh Palande

PhD thesis, 2020

Spectral sparsification of simplicial complexes for clustering and label propagation.

Braxton Osting, Sourabh Palande, Bei Wang

J. Comput. Geom., 2020

2019

TopoAct: Exploring the Shape of Activations in Deep Learning.

Archit Rathore, Nithin Chalapathi, Sourabh Palande, Bei Wang

CoRR, 2019

Autism Classification Using Topological Features and Deep Learning: A Cautionary Tale.

Archit Rathore, Sourabh Palande, Jeffrey S. Anderson, Brandon A. Zielinski, P. Thomas Fletcher, Bei Wang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2018

Topological Data Analysis of Functional MRI Connectivity in Time and Space Domains.

Keri L. Anderson, Jeffrey S. Anderson, Sourabh Palande, Bei Wang

Proceedings of the Connectomics in NeuroImaging - Second International Workshop, 2018

2017

Towards Spectral Sparsification of Simplicial Complexes Based on Generalized Effective Resistance.

Braxton Osting, Sourabh Palande, Bei Wang

CoRR, 2017

Revisiting Abnormalities in Brain Network Architecture Underlying Autism Using Topology-Inspired Statistical Inference.

Sourabh Palande, Vipin Jose, Brandon A. Zielinski, Jeffrey S. Anderson, P. Thomas Fletcher, Bei Wang

Proceedings of the Connectomics in NeuroImaging - First International Workshop, 2017

2016

Kernel partial least squares regression for relating functional brain network topology to clinical measures of behavior.

Eleanor Wong, Sourabh Palande, Bei Wang, Brandon A. Zielinski, Jeffrey S. Anderson, P. Thomas Fletcher

Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016