Artur Kadurin

According to our database, Artur Kadurin authored at least 13 papers between 2018 and 2024.

Collaborative distances:

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

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

Biomedical Entity Representation with Graph-Augmented Multi-Objective Transformer.

Andrey Sakhovskiy, Natalia Semenova, Artur Kadurin, Elena Tutubalina

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 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

Chemical Language Models Have Problems with Chemistry: A Case Study on Molecule Captioning Task.

Veronika Ganeeva, Kuzma Khrabrov, Artur Kadurin, Andrey V. Savchenko, Elena Tutubalina

Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024

Lost in Translation: Chemical Language Models and the Misunderstanding of Molecule Structures.

Veronika Ganeeva, Andrey Sakhovskiy, Kuzma Khrabrov, Andrey V. Savchenko, Artur Kadurin, Elena Tutubalina

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023

MineralImage5k: A benchmark for zero-shot raw mineral visual recognition and description.

Sergey Nesteruk, Julia Agafonova, Igor Pavlov, Maxim Gerasimov, Nikolay Latyshev, Denis Dimitrov, Andrey Kuznetsov, Artur Kadurin, Pavel Plechov

Comput. Geosci., September, 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

Graph-Enriched Biomedical Entity Representation Transformer.

Andrey Sakhovskiy, Natalia Semenova, Artur Kadurin, Elena Tutubalina

Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2023

2021

Medical concept normalization in clinical trials with drug and disease representation learning.

Zulfat Miftahutdinov, Artur Kadurin, Roman Kudrin, Elena Tutubalina

Bioinform., 2021

Drug and Disease Interpretation Learning with Biomedical Entity Representation Transformer.

Zulfat Miftahutdinov, Artur Kadurin, Roman Kudrin, Elena Tutubalina

Proceedings of the Advances in Information Retrieval, 2021

2020

Fair Evaluation in Concept Normalization: a Large-scale Comparative Analysis for BERT-based Models.

Elena Tutubalina, Artur Kadurin, Zulfat Miftahutdinov

Proceedings of the 28th International Conference on Computational Linguistics, 2020

2018

Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models.

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

CoRR, 2018