no code implementations • 15 Jul 2020 • Max Kochurov, Sergey Ivanov, Eugeny Burnaev
Recently there was an increasing interest in applications of graph neural networks in non-Euclidean geometry; however, are non-Euclidean representations always useful for graph learning tasks?
2 code implementations • 6 May 2020 • Max Kochurov, Rasul Karimov, Serge Kozlukov
Geoopt is a research-oriented modular open-source package for Riemannian Optimization in PyTorch.
no code implementations • ICLR 2020 • Aibek Alanov, Max Kochurov, Artem Sobolev, Daniil Yashkov, Dmitry Vetrov
We show that it takes the best properties of VAE and GAN objectives.
no code implementations • 9 Apr 2019 • Aibek Alanov, Max Kochurov, Denis Volkhonskiy, Daniil Yashkov, Evgeny Burnaev, Dmitry Vetrov
We propose a novel multi-texture synthesis model based on generative adversarial networks (GANs) with a user-controllable mechanism.
no code implementations • ICLR 2019 • Aibek Alanov, Max Kochurov, Daniil Yashkov, Dmitry Vetrov
We experimentally demonstrate that our model generates samples and reconstructions of quality competitive with state-of-the-art on datasets MNIST, CIFAR10, CelebA and achieves good quantitative results on CIFAR10.
no code implementations • 20 Feb 2018 • Max Kochurov, Timur Garipov, Dmitry Podoprikhin, Dmitry Molchanov, Arsenii Ashukha, Dmitry Vetrov
In industrial machine learning pipelines, data often arrive in parts.