Search Results for author: Daniil Polykovskiy

Found 7 papers, 3 papers with code

MolGrow: A Graph Normalizing Flow for Hierarchical Molecular Generation

no code implementations3 Feb 2021 Maksim Kuznetsov, Daniil Polykovskiy

We propose a hierarchical normalizing flow model for generating molecular graphs.

Chemistry42: An AI-based platform for de novo molecular design

no code implementations22 Jan 2021 Yan A. Ivanenkov, Alex Zhebrak, Dmitry Bezrukov, Bogdan Zagribelnyy, Vladimir Aladinskiy, Daniil Polykovskiy, Evgeny Putin, Petrina Kamya, Alexander Aliper, Alex Zhavoronkov

Chemistry42 is a software platform for de novo small molecule design that integrates Artificial Intelligence (AI) techniques with computational and medicinal chemistry methods.

Drug Discovery

Deterministic Decoding for Discrete Data in Variational Autoencoders

1 code implementation4 Mar 2020 Daniil Polykovskiy, Dmitry Vetrov

Variational autoencoders are prominent generative models for modeling discrete data.

A Prior of a Googol Gaussians: a Tensor Ring Induced Prior for Generative Models

1 code implementation NeurIPS 2019 Maksim Kuznetsov, Daniil Polykovskiy, Dmitry Vetrov, Alexander Zhebrak

Previous works show that the richer family of prior distributions may help to avoid the mode collapse problem in GANs and to improve the evidence lower bound in VAEs.

ReSet: Learning Recurrent Dynamic Routing in ResNet-like Neural Networks

no code implementations11 Nov 2018 Iurii Kemaev, Daniil Polykovskiy, Dmitry Vetrov

Neural Network is a powerful Machine Learning tool that shows outstanding performance in Computer Vision, Natural Language Processing, and Artificial Intelligence.

Image Classification

Achieving morphological agreement with Concorde

no code implementations ICLR 2018 Daniil Polykovskiy, Dmitry Soloviev

Neural conversational models are widely used in applications like personal assistants and chat bots.

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