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Daniil Polykovskiy
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2020 – today
- 2024
- [j3]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): 3610-3620 (2024) - [j2]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): 3961-3969 (2024) - [i9]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 abs/2402.08210 (2024) - [i8]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 abs/2406.03686 (2024) - 2023
- [j1]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): 695-701 (2023) - [i7]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 abs/2311.12410 (2023) - 2021
- [c6]Maksim Kuznetsov
, Daniil Polykovskiy:
MolGrow: A Graph Normalizing Flow for Hierarchical Molecular Generation. AAAI 2021: 8226-8234 - [i6]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 abs/2101.09050 (2021) - [i5]Maksim Kuznetsov, Daniil Polykovskiy:
MolGrow: A Graph Normalizing Flow for Hierarchical Molecular Generation. CoRR abs/2106.05856 (2021) - 2020
- [c5]Daniil Polykovskiy, Dmitry P. Vetrov:
Deterministic Decoding for Discrete Data in Variational Autoencoders. AISTATS 2020: 3046-3056 - [i4]Daniil Polykovskiy, Dmitry P. Vetrov:
Deterministic Decoding for Discrete Data in Variational Autoencoders. CoRR abs/2003.02174 (2020)
2010 – 2019
- 2019
- [c4]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: 4104-4114 - [i3]Maksim Kuznetsov, Daniil Polykovskiy, Dmitry P. Vetrov, Alexander Zhebrak:
A Prior of a Googol Gaussians: a Tensor Ring Induced Prior for Generative Models. CoRR abs/1910.13148 (2019) - 2018
- [c3]Daniil Polykovskiy, Dmitry Soloviev, Sergey I. Nikolenko:
Concorde: Morphological Agreement in Conversational Models. ACML 2018: 407-421 - [c2]Iurii Kemaev, Daniil Polykovskiy, Dmitry P. Vetrov:
ReSet: Learning Recurrent Dynamic Routing in ResNet-like Neural Networks. ACML 2018: 422-437 - [c1]Denis Kuzminykh, Daniil Polykovskiy, Alexander Zhebrak:
Extracting Invariant Features From Images Using An Equivariant Autoencoder. ACML 2018: 438-453 - [i2]Iurii Kemaev, Daniil Polykovskiy, Dmitry P. Vetrov:
ReSet: Learning Recurrent Dynamic Routing in ResNet-like Neural Networks. CoRR abs/1811.04380 (2018) - [i1]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 abs/1811.12823 (2018)
Coauthor Index
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last updated on 2024-08-05 20:20 CEST by the dblp team
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