Publications

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Any Graph is a Mapper Graph



Enrique Alvarado, Robin Belton, Kang-Ju Lee, et al. "Any Graph is a Mapper Graph." ArXiv preprint [cs.CG], 2024.
Published in: ArXiv preprint [cs.CG]
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G-Mapper: Learning a Cover in the Mapper Construction



Enrique Alvarado, Robin Belton, Emily Fischer, Kang-Ju Lee, et al. "$G$-Mapper: Learning a Cover in the Mapper Construction." ArXiv [cs.LG], 2024.
Published in: ArXiv preprint [cs.LG]
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Expression-based machine learning models for predicting plant tissue identity



Sourabh Palande, Jeremy Arsenault, Patricia Basurto-Lozada, et al. "Expression-based machine learning models for predicting plant tissue identity." In Applications in Plant Sciences, e11621, 2024.
Published in: Applications in Plant Sciences
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Topological data analysis reveals a core gene expression backbone that defines form and function across flowering plants



Sourabh Palande, Joshua Kaste, Miles Roberts, et al. "Topological data analysis reveals a core gene expression backbone that defines form and function across flowering plants." In PLOS Biology 21(12): e3002397, 2023.
Published in: PLoS Biology
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Plants & Python: A series of lessons in coding, plant biology, computation, and bioinformatics



Robert VanBuren, Alejandra Rougon-Cardoso, Erik Amézquita, et al. "Plants & Python: A series of lessons in coding, plant biology, computation, and bioinformatics." The Plant Cell, vol. 34, no. 7 (2022): e1.
Published in: The Plant Cell
Code available here:    Demo available here: .

TopoAct: Visually exploring the shape of activations in deep learning



Archit Rathore, Nithin Chalapathi, Sourabh Palande, and Bei Wang. "TopoAct: Visually exploring the shape of activations in deep learning." In Computer Graphics Forum, vol. 40, no. 1, pp. 382-397. 2021.
Published in: Computer Graphics Forum
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Spectral sparsification of simplicial complexes for clustering and label propagation



Braxton Osting, Sourabh Palande, and Bei Wang. "Spectral sparsification of simplicial complexes for clustering and label propagation." Journal of Computational Geometry 11, no. 1 (2020): 176-211.
Published in: Journal of Computational Geometry (JoCG)
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Revisiting Abnormalities in Brain Network Architecture Underlying Autism Using Topology-Inspired Statistical Inference



Sourabh Palande, Vipin Jose, Brandon Zielinski, Jeffrey Anderson, P. Thomas Fletcher, and Bei Wang. "Revisiting Abnormalities in Brain Network Architecture Underlying Autism Using Topology-Inspired Statistical Inference." Brain Connectivity 9, no. 1 (2019): 13-21.
Published in: Brain Connectivity
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Sketching merge trees for scientific data visualization



Mingzhe Li, Sourabh Palande, Lin Yan and Bei Wang, "Sketching Merge Trees for Scientific Visualization," In 2023 Topological Data Analysis and Visualization (TopoInVis), pp. 61-71, IEEE, 2023.
Published in: 2023 Topological Data Analysis and Visualization (TopoInVis)
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Uncertainty Visualization for Graph Coarsening



Fangfei Lan, Sourabh Palande, Michael Young, and Bei Wang. "Uncertainty Visualization for Graph Coarsening" 2022 IEEE International Conference on Big Data (Big Data), Osaka, Japan (2022).
Published in: 2022 IEEE International Conference on Big Data (Big Data).
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Autism classification using topological features and deep learning: A cautionary tale



Archit Rathore, Sourabh Palande, Jeffrey Anderson, Brandon Zielinski, P. Thomas Fletcher, and Bei Wang. "Autism classification using topological features and deep learning: A cautionary tale." In International Conference on Medical Image Computing and Computer-Assisted Intervention, pp. 736-744. Springer, Cham, 2019.
Published in: International Conference on Medical Image Computing and Computer-Assisted Intervention
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Topological data analysis of functional MRI connectivity in time and space domains



Keri Anderson, Jeffrey Anderson, Sourabh Palande, and Bei Wang. "Topological Data Analysis of Functional MRI Connectivity in Time and Space Domains." In Connectomics in NeuroImaging: Second international workshop, CNI 2018, held in conjunction with MICCAI 2018, Granada, Spain, September 20, 2018: proceedings. CNI (Workshop)(2nd: 2018: Granada, Spain), vol. 11083, p. 67. NIH Public Access, 2018.
Published in: Connectomics in NeuroImaging: Second International Workshop, CNI 2018
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Kernel partial least squares regression for relating functional brain network topology to clinical measures of behavior



Eleanor Wong, Sourabh Palande, Bei Wang, Brandon Zielinski, Jeffrey Anderson, and P. Thomas Fletcher. "Kernel partial least squares regression for relating functional brain network topology to clinical measures of behavior." In 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), pp. 1303-1306. IEEE, 2016.
Published in: 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI)
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Utilizing Topological Structures of Data for Machine Learning



Sourabh Palande. "Utilizing Topological Structures of Data for Machine Learning." The University of Utah, (2020)
Published in: The University of Utah ProQuest Dissertations Publishing
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