Sourabh Palande

15 papers B 1Journal 9Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
G-Mapper: Learning a Cover in the Mapper Construction.
SIAM J. Math. Data Sci.
Enrique G. Alvarado, Robin Belton, Emily Fischer, Kang-Ju Lee, Sourabh Palande, Sarah Percival, Emilie Purvine
2024 J jnl
Any Graph is a Mapper Graph.
CoRR
Enrique G. Alvarado, Robin Belton, Kang-Ju Lee, Sourabh Palande, Sarah Percival, Emilie Purvine, Sarah Tymochko
2023 J jnl
G-Mapper: Learning a Cover in the Mapper Construction.
CoRR
Enrique G. Alvarado, Robin Belton, Emily Fischer, Kang-Ju Lee, Sourabh Palande, Sarah Percival, Emilie Purvine
2022 B conf
Uncertainty Visualization for Graph Coarsening.
IEEE Big Data
Fangfei Lan, Sourabh Palande, Michael Young, Bei Wang
2021 J jnl
Sketching Merge Trees.
CoRR
Mingzhe Li, Sourabh Palande, Bei Wang
2021 J jnl
TopoAct: Visually Exploring the Shape of Activations in Deep Learning.
Comput. Graph. Forum
Archit Rathore, Nithin Chalapathi, Sourabh Palande, Bei Wang
2020 J jnl
Spectral sparsification of simplicial complexes for clustering and label propagation.
J. Comput. Geom.
Braxton Osting, Sourabh Palande, Bei Wang
2020 — —
Utilizing Topological Structures of Data for Machine Learning.
Sourabh Palande
2019 — conf
Autism Classification Using Topological Features and Deep Learning: A Cautionary Tale.
MICCAI (3)
Archit Rathore, Sourabh Palande, Jeffrey S. Anderson, Brandon A. Zielinski, P. Thomas Fletcher, Bei Wang
2019 J jnl
Revisiting Abnormalities in Brain Network Architecture Underlying Autism Using Topology-Inspired Statistical Inference.
Brain Connect.
Sourabh Palande, Vipin Jose, Brandon A. Zielinski, Jeffrey S. Anderson, P. Thomas Fletcher, Bei Wang
2019 J jnl
TopoAct: Exploring the Shape of Activations in Deep Learning.
CoRR
Archit Rathore, Nithin Chalapathi, Sourabh Palande, Bei Wang
2018 — conf
Topological Data Analysis of Functional MRI Connectivity in Time and Space Domains.
CNI@MICCAI
Keri L. Anderson, Jeffrey S. Anderson, Sourabh Palande, Bei Wang
2017 — conf
Revisiting Abnormalities in Brain Network Architecture Underlying Autism Using Topology-Inspired Statistical Inference.
CNI@MICCAI
Sourabh Palande, Vipin Jose, Brandon A. Zielinski, Jeffrey S. Anderson, P. Thomas Fletcher, Bei Wang
2017 J jnl
Towards Spectral Sparsification of Simplicial Complexes Based on Generalized Effective Resistance.
CoRR
Braxton Osting, Sourabh Palande, Bei Wang
2016 — conf
Kernel partial least squares regression for relating functional brain network topology to clinical measures of behavior.
ISBI
Eleanor Wong, Sourabh Palande, Bei Wang, Brandon A. Zielinski, Jeffrey S. Anderson, P. Thomas Fletcher