49 citations · 63 across the 5 of their papers we have counts for
5 papers
Are Hyperbolic Representations in Graphs Created Equal?
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 lea…
Geoopt: Riemannian Optimization in PyTorch
Max Kochurov, Rasul Karimov, Serge Kozlukov
Geoopt is a research-oriented modular open-source package for Riemannian Optimization in PyTorch. The core of Geoopt is a standard Manifold interface that allows for the generic im…
User-Controllable Multi-Texture Synthesis with Generative Adversarial Networks
Aibek Alanov, Max Kochurov, Denis Volkhonskiy +3
We propose a novel multi-texture synthesis model based on generative adversarial networks (GANs) with a user-controllable mechanism. The user control ability allows to explicitly s…
Pairwise Augmented GANs with Adversarial Reconstruction Loss
Aibek Alanov, Max Kochurov, Daniil Yashkov +1
We propose a novel autoencoding model called Pairwise Augmented GANs. We train a generator and an encoder jointly and in an adversarial manner. The generator network learns to samp…
Bayesian Incremental Learning for Deep Neural Networks
Max Kochurov, Timur Garipov, Dmitry Podoprikhin +3
In industrial machine learning pipelines, data often arrive in parts. Particularly in the case of deep neural networks, it may be too expensive to train the model from scratch each…