Topological Deep Learning: Going Beyond Graph Data M Hajij, G Zamzmi, T Papamarkou, N Miolane, A Guzmán-Sáenz, ... arXiv preprint arXiv:2206.00606, 2023 | 17 | 2023 |
GRIL: A 2-parameter Persistence Based Vectorization for Machine Learning C Xin, S Mukherjee, SN Samaga, TK Dey Proceedings of 2nd Annual Workshop on Topology, Algebra, and Geometry in …, 2023 | 9 | 2023 |
GEFL: extended filtration learning for graph classification S Zhang, S Mukherjee, TK Dey Learning on Graphs Conference, 16: 1-16: 26, 2022 | 6 | 2022 |
Determining clinically relevant features in cytometry data using persistent homology S Mukherjee, D Wethington, TK Dey, J Das PLoS Computational Biology 18 (3), e1009931, 2022 | 6 | 2022 |
Denoising with discrete Morse theory S Mukherjee The Visual Computer 37 (9), 2883-2894, 2021 | 5 | 2021 |
Gene expression data classification using topology and machine learning models TK Dey, S Mandal, S Mukherjee BMC bioinformatics 22 (Suppl 10), 627, 2021 | 4 | 2021 |
Icml 2023 topological deep learning challenge: Design and results M Papillon, M Hajij, A Myers, F Frantzen, G Zamzmi, H Jenne, J Mathe, ... Topological, Algebraic and Geometric Learning Workshops 2023, 3-8, 2023 | 3 | 2023 |
TopoX: a suite of Python packages for machine learning on topological domains M Hajij, M Papillon, F Frantzen, J Agerberg, I AlJabea, R Ballester, ... arXiv preprint arXiv:2402.02441, 2024 | 1 | 2024 |
Unveiling patterns in data: harnessing computational topology in machine learning S Mukherjee Purdue University Graduate School, 2024 | | 2024 |
A Jacobi-set based loss function for segmentation task S Mukherjee https://soham0209.github.io/uploads/TDA_project.pdf, 2022 | | 2022 |
Segmenting Cubical Complexes with Region Growing S Mukherjee | | 2018 |
AVR Microcontroller Based Conference Presentation Timer S Bose, S Mukherjee, S Kundu, U Biswas, MK Naskar Proceedings of the First International Conference on Intelligent Computing …, 2017 | | 2017 |