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2020 – today
- 2024
[i5]Enrique G. Alvarado, Robin Belton, Kang-Ju Lee, Sourabh Palande, Sarah Percival, Emilie Purvine, Sarah Tymochko:
Any Graph is a Mapper Graph. CoRR abs/2408.11180 (2024)- 2023
- [i4]Enrique Alvarado, Robin Belton, Emily Fischer, Kang-Ju Lee, Sourabh Palande, Sarah Percival, Emilie Purvine:
G-Mapper: Learning a Cover in the Mapper Construction. CoRR abs/2309.06634 (2023) - 2022
- [c5]Fangfei Lan
, Sourabh Palande, Michael Young, Bei Wang:
Uncertainty Visualization for Graph Coarsening. IEEE Big Data 2022: 2922-2931 - 2021
- [j3]Archit Rathore, Nithin Chalapathi, Sourabh Palande, Bei Wang:
TopoAct: Visually Exploring the Shape of Activations in Deep Learning. Comput. Graph. Forum 40(1): 382-397 (2021) - [i3]Mingzhe Li, Sourabh Palande, Bei Wang:
Sketching Merge Trees. CoRR abs/2101.03196 (2021) - 2020
- [b1]Sourabh Palande:
Utilizing Topological Structures of Data for Machine Learning. University of Utah, USA, 2020 - [j2]Braxton Osting, Sourabh Palande, Bei Wang:
Spectral sparsification of simplicial complexes for clustering and label propagation. J. Comput. Geom. 11(1): 176-211 (2020)
2010 – 2019
- 2019
- [j1]Sourabh Palande, Vipin Jose, Brandon A. Zielinski, Jeffrey S. Anderson, P. Thomas Fletcher, Bei Wang:
Revisiting Abnormalities in Brain Network Architecture Underlying Autism Using Topology-Inspired Statistical Inference. Brain Connect. 9(1): 13-21 (2019) - [c4]Archit Rathore, Sourabh Palande, Jeffrey S. Anderson, Brandon A. Zielinski, P. Thomas Fletcher, Bei Wang:
Autism Classification Using Topological Features and Deep Learning: A Cautionary Tale. MICCAI (3) 2019: 736-744 - [i2]Archit Rathore, Nithin Chalapathi, Sourabh Palande, Bei Wang:
TopoAct: Exploring the Shape of Activations in Deep Learning. CoRR abs/1912.06332 (2019) - 2018
- [c3]Keri L. Anderson, Jeffrey S. Anderson, Sourabh Palande, Bei Wang:
Topological Data Analysis of Functional MRI Connectivity in Time and Space Domains. CNI@MICCAI 2018: 67-77 - 2017
- [c2]Sourabh Palande, Vipin Jose, Brandon A. Zielinski, Jeffrey S. Anderson, P. Thomas Fletcher, Bei Wang:
Revisiting Abnormalities in Brain Network Architecture Underlying Autism Using Topology-Inspired Statistical Inference. CNI@MICCAI 2017: 98-107 - [i1]Braxton Osting, Sourabh Palande, Bei Wang:
Towards Spectral Sparsification of Simplicial Complexes Based on Generalized Effective Resistance. CoRR abs/1708.08436 (2017) - 2016
- [c1]Eleanor Wong, Sourabh Palande, Bei Wang, Brandon A. Zielinski, Jeffrey S. Anderson, P. Thomas Fletcher:
Kernel partial least squares regression for relating functional brain network topology to clinical measures of behavior. ISBI 2016: 1303-1306
Coauthor Index
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