Machine Learning for SAT: Restricted Heuristics and New Graph Representations. - Mikhail Shirokikh; Ilya Shenbin; Anton Alekseev 001; Sergey I. Nikolenko (CoRR, 2023)

$ 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 001; Mikhail Shirokikh; Sergey I. Nikolenko; Elena Tutubalina; et al. (NeurIPS, 2024)

Neural Click Models for Recommender Systems. - Mikhail Shirokikh; Ilya Shenbin; Anton Alekseev 001; Anna Volodkevich; Alexey Vasilev; Andrey V. Savchenko; Sergey I. Nikolenko (SIGIR, 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 001; Mikhail Shirokikh; Sergey I. Nikolenko; Elena Tutubalina; et al. (CoRR, 2024)