• Publications
    • D-GRIL: End-To-End Topological Learning with 2-Parameter Persistence
    • GRIL: A 2-parameter Persistence Based Vectorization for Machine Learning
    • Topological Deep Learning: Going Beyond Graph Data
    • Determining clinically relevant features in cytometry data using persistent homology
    • GEFL: Extended filtration learning for graph classification
    • Denoising with discrete Morse theory
    • Gene expression data classification using topology and machine learning models

D-GRIL: End-To-End Topological Learning with 2-Parameter Persistence

Jan 1, 2026·
Soham Mukherjee
,
Shreyas N Samaga
,
Cheng Xin
,
Steve Oudot
,
Tamal K Dey
· 0 min read
Cite DOI
Last updated on Jan 1, 2026
GRIL: A 2-parameter Persistence Based Vectorization for Machine Learning Jan 1, 2023 →

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