| 2026 | AAAI | Matrix-Free Two-to-Infinity and One-to-Two Norms Estimation. | Askar Tsyganov, Evgeny Frolov, Sergey Samsonov, Maxim Rakhuba |
| 2026 | ACL | Fast and Accurate Fisher-Guided Quantization via Efficient Kronecker Factorization. | Viktoriia Chekalina, Gerasin Timofey, Andrey Kuznetsov, Evgeny Frolov |
| 2026 | WWW | Revisiting IPS-based Algorithms for Off-Policy Evaluation of Contextual Bandits. | Daria Korovaitceva, Marina Sheshukova, Evgeny Frolov, Sergey Samsonov |
| 2026 | SIGIR | SplitLight: An Exploratory Toolkit for Recommender Systems Datasets and Splits. | Anna Volodkevich, Dmitry Anikin, Danil Gusak, Anton Klenitskiy, Evgeny Frolov, Alexey Vasilev |
| 2025 | AISTATS | Knowledge Graph Completion with Mixed Geometry Tensor Factorization. | Viacheslav Yusupov, Maxim V. Rakhuba, Evgeny Frolov |
| 2025 | CIKM | Ultra Fast Warm Start Solution for Graph Recommendations. | Viacheslav Yusupov, Maxim V. Rakhuba, Evgeny Frolov |
| 2025 | RecSys | Recommendation Is a Dish Better Served Warm. | Danil Gusak, Nikita Sukhorukov, Evgeny Frolov |
| 2025 | RecSys | Time to Split: Exploring Data Splitting Strategies for Offline Evaluation of Sequential Recommenders. | Danil Gusak, Anna Volodkevich, Anton Klenitskiy, Alexey Vasilev, Evgeny Frolov |
| 2025 | RecSys | Benefiting from Negative yet Informative Feedback by Contrasting Opposing Sequential Patterns. | Veronika Ivanova, Evgeny Frolov, Alexey Vasilev |
| 2025 | RecSys | Leveraging Geometric Insights in Hyperbolic Triplet Loss for Improved Recommendations. | Viacheslav Yusupov, Maxim V. Rakhuba, Evgeny Frolov |
| 2024 | CIKM | RECE: Reduced Cross-Entropy Loss for Large-Catalogue Sequential Recommenders. | Danil Gusak, Gleb Mezentsev, Ivan V. Oseledets, Evgeny Frolov |
| 2024 | RecSys | Self-Attentive Sequential Recommendations with Hyperbolic Representations. | Evgeny Frolov, Tatyana Matveeva, Leyla Mirvakhabova, Ivan V. Oseledets |
| 2024 | RecSys | Scalable Cross-Entropy Loss for Sequential Recommendations with Large Item Catalogs. | Gleb Mezentsev, Danil Gusak, Ivan V. Oseledets, Evgeny Frolov |
| 2024 | RecSys | Cross-Domain Latent Factors Sharing via Implicit Matrix Factorization. | Abdulaziz Samra, Evgeny Frolov, Alexey Vasilev, Alexander Grigorevskiy, Anton Vakhrushev |
| 2024 | WWW | End-to-End Graph-Sequential Representation Learning for Accurate Recommendations. | Vladimir Baikalov, Evgeny Frolov |
| 2022 | ACL | MEKER: Memory Efficient Knowledge Embedding Representation for Link Prediction and Question Answering. | Viktoria Chekalina, Anton Razzhigaev, Albert Sayapin, Evgeny Frolov, Alexander Panchenko |
| 2020 | RecSys | Performance of Hyperbolic Geometry Models on Top-N Recommendation Tasks. | Leyla Mirvakhabova, Evgeny Frolov, Valentin Khrulkov, Ivan V. Oseledets, Alexander Tuzhilin |
| 2019 | RecSys | HybridSVD: when collaborative information is not enough. | Evgeny Frolov, Ivan V. Oseledets |
| 2016 | RecSys | Fifty Shades of Ratings: How to Benefit from a Negative Feedback in Top-N Recommendations Tasks. | Evgeny Frolov, Ivan V. Oseledets |