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ORCIDVladimir Vinogradov
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2020 – today
- 2025
[j2]Maria Zavadskaya, Anastasia Orlova, Andrei Dmitrenko, Vladimir Vinogradov:
Integrating QSAR modelling with reinforcement learning for Syk inhibitor discovery. J. Cheminformatics 17(1) (2025)- [j1]Karina Urazmanova
, Anastasia Orlova, Anton Ber, Vladimir Vinogradov, Andrei Dmitrenko:
Chemical Space Exploration and Reinforcement Learning for Discovery of Novel Benzimidazole Hybrid Antibiotics. J. Chem. Inf. Model. 65(17): 9142-9153 (2025) - [i5]Anastasia Vepreva, Julia Razlivina, Maria Eremeeva, Nina Gubina, Anastasia Orlova, Aleksei Dmitrenko, Ksenya Kapranova, Susan Jyakhwo, Nikita Vasilev, Arsen Sarkisyan, Ivan Yu. Chernyshov, Vladimir Vinogradov, Andrei Dmitrenko:
Benchmarking Agentic Systems in Automated Scientific Information Extraction with ChemX. CoRR abs/2510.00795 (2025) - [i4]Ekaterina Podplutova, Anastasia Vepreva, Olga A. Konovalova, Vladimir Vinogradov, Dmitrii O. Shkil, Andrei Dmitrenko:
Pharmacophore-Guided Generative Design of Novel Drug-Like Molecules. CoRR abs/2510.01480 (2025) - [i3]Gleb V. Solovev, Alina B. Zhidkovskaya, Anastasia Orlova, Nina Gubina, Anastasia Vepreva, Rodion Golovinskii, Ilya Tonkii, Ivan Dubrovsky, Ivan Gurev, Dmitry Gilemkhanov, Denis Chistiakov, Timur A. Aliev, Ivan Poddiakov, Galina Zubkova, Ekaterina V. Skorb, Vladimir Vinogradov, Alexander Boukhanovsky, Nikolay O. Nikitin, Andrei Dmitrenko, Anna V. Kaluzhnaya, Andrey V. Savchenko:
MADD: Multi-Agent Drug Discovery Orchestra. CoRR abs/2511.08217 (2025) - 2024
- [c4]Ivan Dubrovsky, Andrei Dmitrenko, Aleksei Dmitrenko, Nikita Serov, Vladimir Vinogradov:
Unveiling the Potential of AI for Nanomaterial Morphology Prediction. ICML 2024 - [c3]Nina Gubina, Andrei Dmitrenko, Gleb V. Solovev, Lyubov Yamshchikova, Oleg Petrov, Ivan Lebedev, Nikita Serov, Grigorii Kirgizov, Nikolay O. Nikitin, Vladimir Vinogradov:
Hybrid Generative AI for De Novo Design of Co-Crystals with Enhanced Tabletability. NeurIPS 2024 - [i2]Ivan Dubrovsky, Andrei Dmitrenko, Aleksei Dmitrenko, Nikita Serov, Vladimir Vinogradov:
Unveiling the Potential of AI for Nanomaterial Morphology Prediction. CoRR abs/2406.02591 (2024) - [i1]Nina Gubina, Andrei Dmitrenko, Gleb V. Solovev, Lyubov Yamshchikova, Oleg Petrov, Ivan Lebedev, Nikita Serov, Grigorii Kirgizov, Nikolay O. Nikitin, Vladimir Vinogradov:
Hybrid Generative AI for De Novo Design of Co-Crystals with Enhanced Tabletability. CoRR abs/2410.17005 (2024)
2010 – 2019
- 2016
- [c2]Sergey Osmolovskiy, Ekaterina Ivanova, Daniil Shakurov, Ivan Fedorov, Vladimir Vinogradov:
Hierarchical real-time scheduling for multicore systems. FRUCT 2016: 248-256 - [c1]Sergey Osmolovskiy, Ivan Fedorov, Vladimir Vinogradov, Ekaterina Ivanova, Daniil Shakurov:
Mixed-criticality scheduling in real-time multiprocessor systems. FRUCT 2016: 257-265
Coauthor Index
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