Artem Tsypin

According to our database, Artem Tsypin authored at least 8 papers between 2021 and 2025.

Collaborative distances:

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

2025

LAGNet: better electron density prediction for LCAO-based data and drug-like substances.

Konstantin Ushenin, Kuzma Khrabrov, Artem Tsypin, Anton Ber, Egor Rumiantsev, Artur Kadurin

J. Cheminformatics, December, 2025

AFToolkit: a framework for molecular modeling of proteins with AlphaFold-derived representations.

Maria Sindeeva, Alexander Telepov, Nikita Ivanisenko, Tatiana I Shashkova, Kuzma Khrabrov, Artem Tsypin, Artur Kadurin, Olga L. Kardymon

Briefings Bioinform., 2025

2024

∇²DFT: A Universal Quantum Chemistry Dataset of Drug-Like Molecules and a Benchmark for Neural Network Potentials.

Kuzma Khrabrov, Anton Ber, Artem Tsypin, Konstantin Ushenin, Egor Rumiantsev, Alexander Telepov, Dmitry Protasov, Ilya Shenbin, Anton Alekseev, Mikhail Shirokikh, Sergey I. Nikolenko, Elena Tutubalina, Artur Kadurin

CoRR, 2024

$\nabla^2$DFT: A Universal Quantum Chemistry Dataset of Drug-Like Molecules and a Benchmark for Neural Network Potentials.

Kuzma Khrabrov, Anton Ber, Artem Tsypin, Konstantin Ushenin, Egor Rumiantsev, Alexander Telepov, Dmitry Protasov, Ilya Shenbin, Anton Alekseev, Mikhail Shirokikh, Sergey I. Nikolenko, Elena Tutubalina, Artur Kadurin

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Gradual Optimization Learning for Conformational Energy Minimization.

Artem Tsypin, Leonid Ugadiarov, Kuzma Khrabrov, Alexander Telepov, Egor Rumiantsev, Alexey Skrynnik, Aleksandr Panov, Dmitry P. Vetrov, Elena Tutubalina, Artur Kadurin

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

FREED++: Improving RL Agents for Fragment-Based Molecule Generation by Thorough Reproduction.

Alexander Telepov, Artem Tsypin, Kuzma Khrabrov, Sergey Yakukhnov, Pavel Strashnov, Petr Zhilyaev, Egor Rumiantsev, Daniel Ezhov, Manvel Avetisian, Olga Popova, Artur Kadurin

Trans. Mach. Learn. Res., 2023

Gradual Optimization Learning for Conformational Energy Minimization.

Artem Tsypin, Leonid Ugadiarov, Kuzma Khrabrov, Manvel Avetisian, Alexander Telepov, Egor Rumiantsev, Alexey Skrynnik, Aleksandr I. Panov, Dmitry P. Vetrov, Elena Tutubalina, Artur Kadurin

CoRR, 2023

2021

Automating Control of Overestimation Bias for Continuous Reinforcement Learning.

Arsenii Kuznetsov, Alexander Grishin, Artem Tsypin, Arsenii Ashukha, Dmitry P. Vetrov

CoRR, 2021