Deep Learning with Topological Signatures
Christoph Hofer, Roland Kwitt, Marc Niethammer, Andreas Uhl
–Neural Information Processing Systems
Inferring topological and geometrical information from data can offer an alternative perspective on machine learning problems. Methods from topological data analysis, e.g., persistent homology, enable us to obtain such information, typically in the form
Neural Information Processing Systems
Nov-21-2025, 11:37:28 GMT
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