Lipophilicity Prediction with Multitask Learning and Molecular Substructures Representation. - Nina Lukashina; Alisa Alenicheva; Elizaveta Vlasova; Artem Kondiukov; Aigul Khakimova; Emil Magerramov; Nikita Churikov; Aleksei Shpilman (CoRR, 2020)

FARM: hierarchical association rule mining and visualization method. - Petr Tsurinov; Oleg Shpynov; Nina Lukashina; Daria Likholetova; Maxim N. Artyomov (BCB, 2021)

Traffic4cast at NeurIPS 2021 - Temporal and Spatial Few-Shot Transfer Learning in Gridded Geo-Spatial Processes. - Christian Eichenberger; Moritz Neun; Henry Martin; Pedro Herruzo; Markus Spanring; Yichao Lu; Sungbin Choi; Vsevolod Konyakhin; Nina Lukashina; Aleksei Shpilman; Nina Wiedemann; Martin Raubal; et al. (NeurIPS (Competition and Demos), 2021)

Solving Traffic4Cast Competition with U-Net and Temporal Domain Adaptation. - Vsevolod Konyakhin; Nina Lukashina; Aleksei Shpilman (CoRR, 2021)

SimVec: predicting polypharmacy side effects for new drugs. - Nina Lukashina; Elena Kartysheva; Ola Spjuth; Elizaveta Virko; Aleksei Shpilman (J. Cheminformatics, 2022)

Structure-Aware E(3)-Invariant Molecular Conformer Aggregation Networks. - Duy Minh Ho Nguyen; Nina Lukashina; Tai Nguyen 008; An T. Le 001; TrungTin Nguyen; Nhat Ho; Jan Peters 001; Daniel Sonntag; Viktor Zaverkin; Mathias Niepert (ICML, 2024)