Kernel partial least squares regression for relating functional brain network topology to clinical measures of behavior. - Eleanor Wong; Sourabh Palande; Bei Wang 001; Brandon A. Zielinski; Jeffrey S. Anderson; P. Thomas Fletcher (ISBI, 2016)

Towards Spectral Sparsification of Simplicial Complexes Based on Generalized Effective Resistance. - Braxton Osting; Sourabh Palande; Bei Wang 001 (CoRR, 2017)

Topological Data Analysis of Functional MRI Connectivity in Time and Space Domains. - Keri L. Anderson; Jeffrey S. Anderson; Sourabh Palande; Bei Wang 001 (CNI@MICCAI, 2018)

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 001 (MICCAI (3), 2019)

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 001 (Brain Connect., 2019)

TopoAct: Exploring the Shape of Activations in Deep Learning. - Archit Rathore; Nithin Chalapathi; Sourabh Palande; Bei Wang 001 (CoRR, 2019)

Spectral sparsification of simplicial complexes for clustering and label propagation. - Braxton Osting; Sourabh Palande; Bei Wang 001 (J. Comput. Geom., 2020)

Utilizing Topological Structures of Data for Machine Learning. - Sourabh Palande (2020)

TopoAct: Visually Exploring the Shape of Activations in Deep Learning. - Archit Rathore; Nithin Chalapathi; Sourabh Palande; Bei Wang 001 (Comput. Graph. Forum, 2021)

Sketching Merge Trees. - Mingzhe Li; Sourabh Palande; Bei Wang 001 (CoRR, 2021)

Uncertainty Visualization for Graph Coarsening. - Fangfei Lan; Sourabh Palande; Michael Young; Bei Wang 001 (IEEE Big Data, 2022)

G-Mapper: Learning a Cover in the Mapper Construction. - Enrique Alvarado; Robin Belton; Emily Fischer; Kang-Ju Lee; Sourabh Palande; Sarah Percival; Emilie Purvine (CoRR, 2023)

Any Graph is a Mapper Graph. - Enrique G. Alvarado; Robin Belton; Kang-Ju Lee; Sourabh Palande; Sarah Percival; Emilie Purvine; Sarah Tymochko (CoRR, 2024)