Daniil Polykovskiy

According to our database, Daniil Polykovskiy authored at least 15 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

COSMIC: Molecular Conformation Space Modeling in Internal Coordinates with an Adversarial Framework.

Maksim Kuznetsov, Fedor Ryabov, Roman Schutski, Rim Shayakhmetov, Yen-Chu Lin, Alex Aliper, Daniil Polykovskiy

J. Chem. Inf. Model., 2024

PandaOmics: An AI-Driven Platform for Therapeutic Target and Biomarker Discovery.

Petrina Kamya, Ivan V. Ozerov, Frank W. Pun, Kyle Tretina, Tatyana Fokina, Shan Chen, Vladimir Naumov, Xi Long, Sha Lin, Mikhail Korzinkin, Daniil Polykovskiy, Alex Aliper, Feng Ren, Alex Zhavoronkov

J. Chem. Inf. Model., 2024

nach0-pc: Multi-task Language Model with Molecular Point Cloud Encoder.

Maksim Kuznetsov, Airat Valiev, Alex Aliper, Daniil Polykovskiy, Elena Tutubalina, Rim Shayakhmetov, Zulfat Miftahutdinov

CoRR, 2024

BindGPT: A Scalable Framework for 3D Molecular Design via Language Modeling and Reinforcement Learning.

Artem Zholus, Maksim Kuznetsov, Roman Schutski, Rim Shayakhmetov, Daniil Polykovskiy, Sarath Chandar, Alex Zhavoronkov

CoRR, 2024

Quantum Computing-Enhanced Algorithm Unveils Novel Inhibitors for KRAS.

Mohammad Ghazi Vakili, Christoph Gorgulla, AkshatKumar Nigam, Dmitry Bezrukov, Daniel Varoli, Alex Aliper, Daniil Polykovskiy, Krishna M. Padmanabha Das, Jamie Snider, Anna Lyakisheva, Ardalan Hosseini Mansob, Zhong Yao, Lela Bitar, Eugene Radchenko, Xiao Ding, Jinxin Liu, Fanye Meng, Feng Ren, Yudong Cao, Igor Stagljar, Alán Aspuru-Guzik, Alex Zhavoronkov

CoRR, 2024

2023

Chemistry42: An AI-Driven Platform for Molecular Design and Optimization.

Yan A. Ivanenkov, Daniil Polykovskiy, Dmitry Bezrukov, Bogdan Zagribelnyy, Vladimir Aladinskiy, Petrina Kamya, Alex Aliper, Feng Ren, Alex Zhavoronkov

J. Chem. Inf. Model., February, 2023

nach0: Multimodal Natural and Chemical Languages Foundation Model.

Micha Livne, Zulfat Miftahutdinov, Elena Tutubalina, Maksim Kuznetsov, Daniil Polykovskiy, Annika Brundyn, Aastha Jhunjhunwala, Anthony Costa, Alex Aliper, Alex Zhavoronkov

CoRR, 2023

2021

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

Yan A. Ivanenkov, Alexander Zhebrak, Dmitry Bezrukov, Bogdan Zagribelnyy, Vladimir Aladinskiy, Daniil Polykovskiy, Evgeny Putin, Petrina Kamya, Alexander Aliper, Alex Zhavoronkov

CoRR, 2021

MolGrow: A Graph Normalizing Flow for Hierarchical Molecular Generation.

Maksim Kuznetsov, Daniil Polykovskiy

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Deterministic Decoding for Discrete Data in Variational Autoencoders.

Daniil Polykovskiy, Dmitry P. Vetrov

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

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

Maksim Kuznetsov, Daniil Polykovskiy, Dmitry P. Vetrov, Alexander Zhebrak

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models.

Daniil Polykovskiy, Alexander Zhebrak, Benjamín Sánchez-Lengeling, Sergey Golovanov, Oktai Tatanov, Stanislav Belyaev, Rauf Kurbanov, Aleksey Artamonov, Vladimir Aladinskiy, Mark Veselov, Artur Kadurin, Sergey I. Nikolenko, Alán Aspuru-Guzik, Alex Zhavoronkov

CoRR, 2018

Concorde: Morphological Agreement in Conversational Models.

Daniil Polykovskiy, Dmitry Soloviev, Sergey I. Nikolenko

Proceedings of The 10th Asian Conference on Machine Learning, 2018

Extracting Invariant Features From Images Using An Equivariant Autoencoder.

Denis Kuzminykh, Daniil Polykovskiy, Alexander Zhebrak

Proceedings of The 10th Asian Conference on Machine Learning, 2018

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

Iurii Kemaev, Daniil Polykovskiy, Dmitry P. Vetrov

Proceedings of The 10th Asian Conference on Machine Learning, 2018