Daniil Polykovskiy

21 papers A* 4A 1C 3Journal 13

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	BindGPT: A Scalable Framework for 3D Molecular Design via Language Modeling and Reinforcement Learning. AAAI Artem Zholus, Maksim Kuznetsov, Roman Schutski, Rim Shayakhmetov, Daniil Polykovskiy, Sarath Chandar, Alex Zhavoronkov
2025	A*	`conf`	nach0-pc: Multi-task Language Model with Molecular Point Cloud Encoder. AAAI Maksim Kuznetsov, Airat Valiev, Alex Aliper, Daniil Polykovskiy, Elena Tutubalina, Rim Shayakhmetov, Zulfat Miftahutdinov
2024	J	`jnl`	BindGPT: A Scalable Framework for 3D Molecular Design via Language Modeling and Reinforcement Learning. CoRR Artem Zholus, Maksim Kuznetsov, Roman Schutski, Rim Shayakhmetov, Daniil Polykovskiy, Sarath Chandar, Alex Zhavoronkov
2024	J	`jnl`	COSMIC: Molecular Conformation Space Modeling in Internal Coordinates with an Adversarial Framework. J. Chem. Inf. Model. Maksim Kuznetsov, Fedor Ryabov, Roman Schutski, Rim Shayakhmetov, Yen-Chu Lin, Alex Aliper, Daniil Polykovskiy
2024	J	`jnl`	PandaOmics: An AI-Driven Platform for Therapeutic Target and Biomarker Discovery. J. Chem. Inf. Model. 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
2024	J	`jnl`	Quantum Computing-Enhanced Algorithm Unveils Novel Inhibitors for KRAS. CoRR 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
2024	J	`jnl`	nach0-pc: Multi-task Language Model with Molecular Point Cloud Encoder. CoRR Maksim Kuznetsov, Airat Valiev, Alex Aliper, Daniil Polykovskiy, Elena Tutubalina, Rim Shayakhmetov, Zulfat Miftahutdinov
2023	J	`jnl`	Chemistry42: An AI-Driven Platform for Molecular Design and Optimization. J. Chem. Inf. Model. Yan A. Ivanenkov, Daniil Polykovskiy, Dmitry Bezrukov, Bogdan Zagribelnyy, Vladimir Aladinskiy, Petrina Kamya, Alex Aliper, Feng Ren, Alex Zhavoronkov
2023	J	`jnl`	nach0: Multimodal Natural and Chemical Languages Foundation Model. CoRR Micha Livne, Zulfat Miftahutdinov, Elena Tutubalina, Maksim Kuznetsov, Daniil Polykovskiy, Annika Brundyn, Aastha Jhunjhunwala, Anthony Costa, Alex Aliper, Alex Zhavoronkov
2021	J	`jnl`	Chemistry42: An AI-based platform for de novo molecular design. CoRR Yan A. Ivanenkov, Alexander Zhebrak, Dmitry Bezrukov, Bogdan Zagribelnyy, Vladimir Aladinskiy, Daniil Polykovskiy, Evgeny Putin, Petrina Kamya, Alexander Aliper, Alex Zhavoronkov
2021	A*	`conf`	MolGrow: A Graph Normalizing Flow for Hierarchical Molecular Generation. AAAI Maksim Kuznetsov, Daniil Polykovskiy
2021	J	`jnl`	MolGrow: A Graph Normalizing Flow for Hierarchical Molecular Generation. CoRR Maksim Kuznetsov, Daniil Polykovskiy
2020	A	`conf`	Deterministic Decoding for Discrete Data in Variational Autoencoders. AISTATS Daniil Polykovskiy, Dmitry P. Vetrov
2020	J	`jnl`	Deterministic Decoding for Discrete Data in Variational Autoencoders. CoRR Daniil Polykovskiy, Dmitry P. Vetrov
2019	A*	`conf`	A Prior of a Googol Gaussians: a Tensor Ring Induced Prior for Generative Models. NeurIPS Maksim Kuznetsov, Daniil Polykovskiy, Dmitry P. Vetrov, Alexander Zhebrak
2019	J	`jnl`	A Prior of a Googol Gaussians: a Tensor Ring Induced Prior for Generative Models. CoRR Maksim Kuznetsov, Daniil Polykovskiy, Dmitry P. Vetrov, Alexander Zhebrak
2018	C	`conf`	Concorde: Morphological Agreement in Conversational Models. ACML Daniil Polykovskiy, Dmitry Soloviev, Sergey I. Nikolenko
2018	C	`conf`	Extracting Invariant Features From Images Using An Equivariant Autoencoder. ACML Denis Kuzminykh, Daniil Polykovskiy, Alexander Zhebrak
2018	J	`jnl`	Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models. CoRR 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
2018	C	`conf`	ReSet: Learning Recurrent Dynamic Routing in ResNet-like Neural Networks. ACML Iurii Kemaev, Daniil Polykovskiy, Dmitry P. Vetrov
2018	J	`jnl`	ReSet: Learning Recurrent Dynamic Routing in ResNet-like Neural Networks. CoRR Iurii Kemaev, Daniil Polykovskiy, Dmitry P. Vetrov