no code implementations • 6 Feb 2024 • Alexander Kolesov, Petr Mokrov, Igor Udovichenko, Milena Gazdieva, Gudmund Pammer, Evgeny Burnaev, Alexander Korotin
Given a collection of probability measures, a practitioner sometimes needs to find an "average" distribution which adequately aggregates reference distributions.
1 code implementation • 29 Jan 2024 • Viktor Moskvoretskii, Dmitry Osin, Egor Shvetsov, Igor Udovichenko, Maxim Zhelnin, Andrey Dukhovny, Anna Zhimerikina, Albert Efimov, Evgeny Burnaev
This study investigates self-supervised learning techniques to obtain representations of Event Sequences.
1 code implementation • 6 Jan 2024 • Igor Udovichenko, Egor Shvetsov, Denis Divitsky, Dmitry Osin, Ilya Trofimov, Anatoly Glushenko, Ivan Sukharev, Dmitry Berestenev, Evgeny Burnaev
As a result of our work we demonstrate that our method surpasses state of the art NAS methods and popular architectures suitable for sequence classification and holds great potential for various industrial applications.
no code implementations • 2 Oct 2023 • Alexander Kolesov, Petr Mokrov, Igor Udovichenko, Milena Gazdieva, Gudmund Pammer, Anastasis Kratsios, Evgeny Burnaev, Alexander Korotin
Optimal transport (OT) barycenters are a mathematically grounded way of averaging probability distributions while capturing their geometric properties.
1 code implementation • 27 Jun 2021 • Anton Razzhigaev, Klim Kireev, Igor Udovichenko, Aleksandr Petiushko
Several methods for inversion of face recognition models were recently presented, attempting to reconstruct a face from deep templates.