no code implementations • 24 May 2024 • Vladislav Trifonov, Alexander Rudikov, Oleg Iliev, Ivan Oseledets, Ekaterina Muravleva
In our work, we recall well-established preconditioners from linear algebra and use them as a starting point for training the GNN.
no code implementations • 15 Apr 2024 • Daniil Merkulov, Daria Cherniuk, Alexander Rudikov, Ivan Oseledets, Ekaterina Muravleva, Aleksandr Mikhalev, Boris Kashin
In this paper, we introduce an algorithm for data quantization based on the principles of Kashin representation.