Representation Topology Divergence: A Method for Comparing Neural Network Representations - researchr publication authors

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Serguei Barannikov, Ilya Trofimov, Nikita Balabin, Evgeny Burnaev. Representation Topology Divergence: A Method for Comparing Neural Network Representations. In Kamalika Chaudhuri, Stefanie Jegelka, Le Song, Csaba Szepesvári, Gang Niu 0001, Sivan Sabato, editors, International Conference on Machine Learning, ICML 2022, 17-23 July 2022, Baltimore, Maryland, USA. Volume 162 of Proceedings of Machine Learning Research, pages 1607-1626, PMLR, 2022. [doi]

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Evgeny Burnaev

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