1 code implementation • 24 Aug 2023 • Nikita Balabin, Daria Voronkova, Ilya Trofimov, Evgeny Burnaev, Serguei Barannikov
We propose TopDis (Topological Disentanglement), a method for learning disentangled representations via adding a multi-scale topological loss term.
no code implementations • 31 Dec 2020 • Serguei Barannikov, Daria Voronkova, Ilya Trofimov, Alexander Korotin, Grigorii Sotnikov, Evgeny Burnaev
We define the neural network Topological Obstructions score, "TO-score", with the help of robust topological invariants, barcodes of the loss function, that quantify the "badness" of local minima for gradient-based optimization.