Ilya Shenbin

According to our database, Ilya Shenbin authored at least 10 papers between 2019 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

Neural Click Models for Recommender Systems.

Mikhail Shirokikh, Ilya Shenbin, Anton Alekseev, Anna Volodkevich, Alexey Vasilev, Andrey V. Savchenko, Sergey I. Nikolenko

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 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

ImplicitSLIM and How it Improves Embedding-based Collaborative Filtering.

Ilya Shenbin, Sergey I. Nikolenko

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Machine Learning for SAT: Restricted Heuristics and New Graph Representations.

Mikhail Shirokikh, Ilya Shenbin, Anton Alekseev, Sergey I. Nikolenko

CoRR, 2023

2022

DetIE: Multilingual Open Information Extraction Inspired by Object Detection.

Michael Vasilkovsky, Anton Alekseev, Valentin Malykh, Ilya Shenbin, Elena Tutubalina, Dmitriy Salikhov, Mikhail Stepnov, Andrey Chertok, Sergey I. Nikolenko

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2020

RecVAE: A New Variational Autoencoder for Top-N Recommendations with Implicit Feedback.

Ilya Shenbin, Anton Alekseev, Elena Tutubalina, Valentin Malykh, Sergey I. Nikolenko

Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

2019

AspeRa: Aspect-Based Rating Prediction Model.

Sergey I. Nikolenko, Elena Tutubalina, Valentin Malykh, Ilya Shenbin, Anton Alekseev

Proceedings of the Advances in Information Retrieval, 2019

Wear the Right Head: Comparing Strategies for Encoding Sentences for Aspect Extraction.

Valentin Malykh, Anton Alekseev, Elena Tutubalina, Ilya Shenbin, Sergey I. Nikolenko

Proceedings of the Analysis of Images, Social Networks and Texts, 2019

AspeRa: Aspect-Based Rating Prediction Based on User Reviews.

Elena Tutubalina, Valentin Malykh, Sergey I. Nikolenko, Anton Alekseev, Ilya Shenbin

Proceedings of the 2019 Workshop on Widening NLP@ACL 2019, Florence, Italy, July 28, 2019, 2019