Publications

Soham Mukherjee, Shreyas N Samaga, Cheng Xin, Steve Oudot, Tamal K Dey (2026). D-GRIL: End-To-End Topological Learning with 2-Parameter Persistence. 42nd International Symposium on Computational Geometry (SoCG 2026).
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Mustafa Hajij, Ghada Zamzmi, Theodore Papamarkou, Nina Miolane, Aldo Guzmán-Sáenz, Karthikeyan Natesan Ramamurthy, Tolga Birdal, Tamal K Dey, Soham Mukherjee, Shreyas N Samaga, Others (2023). Topological Deep Learning: Going Beyond Graph Data. arXiv preprint arXiv:2206.00606.
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Cheng Xin, Soham Mukherjee, Shreyas N Samaga, Tamal K Dey (2023). GRIL: A 2-parameter Persistence Based Vectorization for Machine Learning. Proceedings of 2nd Annual Workshop on Topology, Algebra, and Geometry in Machine Learning (TAG-ML).
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Simon Zhang, Soham Mukherjee, Tamal K Dey (2022). GEFL: Extended filtration learning for graph classification. Learning on Graphs Conference.
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Soham Mukherjee, Darren Wethington, Tamal K Dey, Jayajit Das (2022). Determining clinically relevant features in cytometry data using persistent homology. PLoS Computational Biology.
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Tamal K Dey, Sayan Mandal, Soham Mukherjee (2021). Gene expression data classification using topology and machine learning models. BMC bioinformatics.
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Soham Mukherjee (2021). Denoising with discrete Morse theory. The Visual Computer.
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