Search Results for author: Max Kochurov

Found 6 papers, 1 papers with code

Are Hyperbolic Representations in Graphs Created Equal?

no code implementations15 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?

Graph Learning Graph Representation Learning +2

Geoopt: Riemannian Optimization in PyTorch

2 code implementations6 May 2020 Max Kochurov, Rasul Karimov, Serge Kozlukov

Geoopt is a research-oriented modular open-source package for Riemannian Optimization in PyTorch.

Riemannian optimization

User-Controllable Multi-Texture Synthesis with Generative Adversarial Networks

no code implementations9 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.

Texture Synthesis

Pairwise Augmented GANs with Adversarial Reconstruction Loss

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.

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