Daniil Polykovskiy

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 18

Top Topics

Discretization Method

Language Modeling

Invariant Features

Top Venues

J. Chem. Inf. Model.

Publications

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
Quantum Computing-Enhanced Algorithm Unveils Novel Inhibitors for KRAS. CoRR (2024)
Artem Zholus, Maksim Kuznetsov, Roman Schutski, Rim Shayakhmetov, Daniil Polykovskiy, Sarath Chandar, Alex Zhavoronkov
BindGPT: A Scalable Framework for 3D Molecular Design via Language Modeling and Reinforcement Learning. CoRR (2024)
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
PandaOmics: An AI-Driven Platform for Therapeutic Target and Biomarker Discovery. J. Chem. Inf. Model. 64 (10) (2024)
Maksim Kuznetsov, Fedor Ryabov, Roman Schutski, Rim Shayakhmetov, Yen-Chu Lin, Alex Aliper, Daniil Polykovskiy
COSMIC: Molecular Conformation Space Modeling in Internal Coordinates with an Adversarial Framework. J. Chem. Inf. Model. 64 (9) (2024)
Yan A. Ivanenkov, Daniil Polykovskiy, Dmitry Bezrukov, Bogdan Zagribelnyy, Vladimir Aladinskiy, Petrina Kamya, Alex Aliper, Feng Ren, Alex Zhavoronkov
Chemistry42: An AI-Driven Platform for Molecular Design and Optimization. J. Chem. Inf. Model. 63 (3) (2023)
Micha Livne, Zulfat Miftahutdinov, Elena Tutubalina, Maksim Kuznetsov, Daniil Polykovskiy, Annika Brundyn, Aastha Jhunjhunwala, Anthony Costa, Alex Aliper, Alex Zhavoronkov
nach0: Multimodal Natural and Chemical Languages Foundation Model. CoRR (2023)
Yan A. Ivanenkov, Alexander Zhebrak, Dmitry Bezrukov, Bogdan Zagribelnyy, Vladimir Aladinskiy, Daniil Polykovskiy, Evgeny Putin, Petrina Kamya, Alexander Aliper, Alex Zhavoronkov
Chemistry42: An AI-based platform for de novo molecular design. CoRR (2021)
Maksim Kuznetsov, Daniil Polykovskiy
MolGrow: A Graph Normalizing Flow for Hierarchical Molecular Generation. AAAI (2021)
Maksim Kuznetsov, Daniil Polykovskiy
MolGrow: A Graph Normalizing Flow for Hierarchical Molecular Generation. CoRR (2021)
Daniil Polykovskiy, Dmitry P. Vetrov
Deterministic Decoding for Discrete Data in Variational Autoencoders. CoRR (2020)
Daniil Polykovskiy, Dmitry P. Vetrov
Deterministic Decoding for Discrete Data in Variational Autoencoders. AISTATS (2020)
Maksim Kuznetsov, Daniil Polykovskiy, Dmitry P. Vetrov, Alexander Zhebrak
A Prior of a Googol Gaussians: a Tensor Ring Induced Prior for Generative Models. NeurIPS (2019)
Maksim Kuznetsov, Daniil Polykovskiy, Dmitry P. Vetrov, Alexander Zhebrak
A Prior of a Googol Gaussians: a Tensor Ring Induced Prior for Generative Models. CoRR (2019)
Iurii Kemaev, Daniil Polykovskiy, Dmitry P. Vetrov
ReSet: Learning Recurrent Dynamic Routing in ResNet-like Neural Networks. ACML (2018)
Denis Kuzminykh, Daniil Polykovskiy, Alexander Zhebrak
Extracting Invariant Features From Images Using An Equivariant Autoencoder. ACML (2018)
Daniil Polykovskiy, Dmitry Soloviev, Sergey I. Nikolenko
Concorde: Morphological Agreement in Conversational Models. ACML (2018)
Iurii Kemaev, Daniil Polykovskiy, Dmitry P. Vetrov
ReSet: Learning Recurrent Dynamic Routing in ResNet-like Neural Networks. CoRR (2018)
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
Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models. CoRR (2018)