Evgeny Frolov - RankMe

56 papers A* 2A 14Journal 37Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Cross-Representation Knowledge Transfer for Improved Sequential Recommendations. CoRR Artur Gimranov, Viacheslav Yusupov, Elfat Sabitov, Tatyana Matveeva, Anton Lysenko, Ruslan Israfilov, Evgeny Frolov
2026	J	`jnl`	Efficient incorporation of new interactions in graph recommenders via folding-in. User Model. User Adapt. Interact. Viacheslav Yusupov, Nikita Sukhorukov, Evgeny Frolov
2026	A*	`conf`	Matrix-Free Two-to-Infinity and One-to-Two Norms Estimation. AAAI Askar Tsyganov, Evgeny Frolov, Sergey Samsonov, Maxim Rakhuba
2026	J	`jnl`	Position-Aware Sequential Attention for Accurate Next Item Recommendations. CoRR Timur Nabiev, Evgeny Frolov
2026	A*	`conf`	Revisiting IPS-based Algorithms for Off-Policy Evaluation of Contextual Bandits. WWW Daria Korovaitceva, Marina Sheshukova, Evgeny Frolov, Sergey Samsonov
2026	J	`jnl`	SplitLight: An Exploratory Toolkit for Recommender Systems Datasets and Splits. CoRR Anna Volodkevich, Dmitry Anikin, Danil Gusak, Anton Klenitskiy, Evgeny Frolov, Alexey Vasilev
2025	J	`jnl`	Barlow Twins for Sequential Recommendation. CoRR Ivan Razvorotnev, Marina Munkhoeva, Evgeny Frolov
2025	A	`conf`	Benefiting from Negative yet Informative Feedback by Contrasting Opposing Sequential Patterns. RecSys Veronika Ivanova, Evgeny Frolov, Alexey Vasilev
2025	J	`jnl`	Benefiting from Negative yet Informative Feedback by Contrasting Opposing Sequential Patterns. CoRR Veronika Ivanova, Evgeny Frolov, Alexey Vasilev
2025	J	`jnl`	Dynamic Low-rank Approximation of Full-Matrix Preconditioner for Training Generalized Linear Models. CoRR Tatyana Matveeva, Aleksandr Katrutsa, Evgeny Frolov
2025	J	`jnl`	Generalized Fisher-Weighted SVD: Scalable Kronecker-Factored Fisher Approximation for Compressing Large Language Models. CoRR Viktoriia Chekalina, Daniil Moskovskiy, Daria Cherniuk, Maxim Kurkin, Andrey Kuznetsov, Evgeny Frolov
2025	A	`conf`	Knowledge Graph Completion with Mixed Geometry Tensor Factorization. AISTATS Viacheslav Yusupov, Maxim V. Rakhuba, Evgeny Frolov
2025	J	`jnl`	Knowledge Graph Completion with Mixed Geometry Tensor Factorization. CoRR Viacheslav Yusupov, Maxim V. Rakhuba, Evgeny Frolov
2025	J	`jnl`	LLavaCode: Compressed Code Representations for Retrieval-Augmented Code Generation. CoRR Daria Cherniuk, Nikita Sukhorukov, Nikita Sushko, Daniil Gusak, Danil Sivtsov, Elena Tutubalina, Evgeny Frolov
2025	A	`conf`	Leveraging Geometric Insights in Hyperbolic Triplet Loss for Improved Recommendations. RecSys Viacheslav Yusupov, Maxim V. Rakhuba, Evgeny Frolov
2025	J	`jnl`	Leveraging Geometric Insights in Hyperbolic Triplet Loss for Improved Recommendations. CoRR Viacheslav Yusupov, Maxim V. Rakhuba, Evgeny Frolov
2025	J	`jnl`	Low-rank surrogate modeling and stochastic zero-order optimization for training of neural networks with black-box layers. CoRR Andrei Chertkov, Artem Basharin, Mikhail Saygin, Evgeny Frolov, Stanislav Straupe, Ivan V. Oseledets
2025	J	`jnl`	Matrix-Free Two-to-Infinity and One-to-Two Norms Estimation. CoRR Askar Tsyganov, Evgeny Frolov, Sergey Samsonov, Maxim V. Rakhuba
2025	J	`jnl`	Maximum Impact with Fewer Features: Efficient Feature Selection for Cold-Start Recommenders through Collaborative Importance Weighting. CoRR Nikita Sukhorukov, Danil Gusak, Evgeny Frolov
2025	A	`conf`	Recommendation Is a Dish Better Served Warm. RecSys Danil Gusak, Nikita Sukhorukov, Evgeny Frolov
2025	J	`jnl`	Recommendation Is a Dish Better Served Warm. CoRR Danil Gusak, Nikita Sukhorukov, Evgeny Frolov
2025	J	`jnl`	Scalable LinUCB: Low-Rank Design Matrix Updates for Recommenders with Large Action Spaces. CoRR Evgenia Shustova, Marina Sheshukova, Sergey Samsonov, Evgeny Frolov
2025	A	`conf`	Time to Split: Exploring Data Splitting Strategies for Offline Evaluation of Sequential Recommenders. RecSys Danil Gusak, Anna Volodkevich, Anton Klenitskiy, Alexey Vasilev, Evgeny Frolov
2025	J	`jnl`	Time to Split: Exploring Data Splitting Strategies for Offline Evaluation of Sequential Recommenders. CoRR Danil Gusak, Anna Volodkevich, Anton Klenitskiy, Alexey Vasilev, Evgeny Frolov
2025	A	`conf`	Ultra Fast Warm Start Solution for Graph Recommendations. CIKM Viacheslav Yusupov, Maxim V. Rakhuba, Evgeny Frolov
2025	J	`jnl`	Ultra Fast Warm Start Solution for Graph Recommendations. CoRR Viacheslav Yusupov, Maxim V. Rakhuba, Evgeny Frolov
2024	A	`conf`	Cross-Domain Latent Factors Sharing via Implicit Matrix Factorization. RecSys Abdulaziz Samra, Evgeny Frolov, Alexey Vasilev, Alexander Grigorevskiy, Anton Vakhrushev
2024	J	`jnl`	Cross-Domain Latent Factors Sharing via Implicit Matrix Factorization. CoRR Abdulaziz Samra, Evgeny Frolov, Alexey Vasilev, Alexander Grigorievskiy, Anton Vakhrushev
2024	—	`conf`	End-to-End Graph-Sequential Representation Learning for Accurate Recommendations. WWW (Companion Volume) Vladimir Baikalov, Evgeny Frolov
2024	J	`jnl`	End-to-End Graph-Sequential Representation Learning for Accurate Recommendations. CoRR Vladimir Baikalov, Evgeny Frolov
2024	J	`jnl`	Federated privacy-preserving collaborative filtering for on-device next app prediction. User Model. User Adapt. Interact. Albert Saiapin, Gleb Balitskiy, Daniel Bershatsky, Aleksandr Katrutsa, Evgeny Frolov, Alexey A. Frolov, Ivan V. Oseledets, Vitaliy Kharin
2024	A	`conf`	RECE: Reduced Cross-Entropy Loss for Large-Catalogue Sequential Recommenders. CIKM Danil Gusak, Gleb Mezentsev, Ivan V. Oseledets, Evgeny Frolov
2024	J	`jnl`	RECE: Reduced Cross-Entropy Loss for Large-Catalogue Sequential Recommenders. CoRR Danil Gusak, Gleb Mezentsev, Ivan V. Oseledets, Evgeny Frolov
2024	A	`conf`	Scalable Cross-Entropy Loss for Sequential Recommendations with Large Item Catalogs. RecSys Gleb Mezentsev, Danil Gusak, Ivan V. Oseledets, Evgeny Frolov
2024	J	`jnl`	Scalable Cross-Entropy Loss for Sequential Recommendations with Large Item Catalogs. CoRR Gleb Mezentsev, Danil Gusak, Ivan V. Oseledets, Evgeny Frolov
2024	A	`conf`	Self-Attentive Sequential Recommendations with Hyperbolic Representations. RecSys Evgeny Frolov, Tatyana Matveeva, Leyla Mirvakhabova, Ivan V. Oseledets
2023	J	`jnl`	Dynamic Collaborative Filtering for Matrix- and Tensor-based Recommender Systems. CoRR Albert Saiapin, Ivan V. Oseledets, Evgeny Frolov
2023	J	`jnl`	Federated Privacy-preserving Collaborative Filtering for On-Device Next App Prediction. CoRR Albert Sayapin, Gleb Balitskiy, Daniel Bershatsky, Aleksandr Katrutsa, Evgeny Frolov, Alexey A. Frolov, Ivan V. Oseledets, Vitaliy Kharin
2023	J	`jnl`	Mitigating Human and Computer Opinion Fraud via Contrastive Learning. CoRR Yuliya Tukmacheva, Ivan V. Oseledets, Evgeny Frolov
2023	J	`jnl`	Tensor-Based Sequential Learning via Hankel Matrix Representation for Next Item Recommendations. IEEE Access Evgeny Frolov, Ivan V. Oseledets
2022	J	`jnl`	Are Quantum Computers Practical Yet? A Case for Feature Selection in Recommender Systems using Tensor Networks. CoRR Artyom Nikitin, Andrei Chertkov, Rafael Ballester-Ripoll, Ivan V. Oseledets, Evgeny Frolov
2022	—	`conf`	MEKER: Memory Efficient Knowledge Embedding Representation for Link Prediction and Question Answering. ACL (student) Viktoria Chekalina, Anton Razzhigaev, Albert Sayapin, Evgeny Frolov, Alexander Panchenko
2022	J	`jnl`	Tensor-based Collaborative Filtering With Smooth Ratings Scale. CoRR Nikita Marin, Elizaveta Makhneva, Maria Lysyuk, Vladimir Chernyy, Ivan V. Oseledets, Evgeny Frolov
2022	J	`jnl`	Tensor-based Sequential Learning via Hankel Matrix Representation for Next Item Recommendations. CoRR Evgeny Frolov, Ivan V. Oseledets
2021	A	`conf`	Dynamic Modeling of User Preferences for Stable Recommendations. UMAP Oluwafemi Olaleke, Ivan V. Oseledets, Evgeny Frolov
2021	J	`jnl`	Dynamic Modeling of User Preferences for Stable Recommendations. CoRR Oluwafemi Olaleke, Ivan V. Oseledets, Evgeny Frolov
2020	A	`conf`	Performance of Hyperbolic Geometry Models on Top-N Recommendation Tasks. RecSys Leyla Mirvakhabova, Evgeny Frolov, Valentin Khrulkov, Ivan V. Oseledets, Alexander Tuzhilin
2020	J	`jnl`	Performance of Hyperbolic Geometry Models on Top-N Recommendation Tasks. CoRR Leyla Mirvakhabova, Evgeny Frolov, Valentin Khrulkov, Ivan V. Oseledets, Alexander Tuzhilin
2019	A	`conf`	HybridSVD: when collaborative information is not enough. RecSys Evgeny Frolov, Ivan V. Oseledets
2018	J	`jnl`	HybridSVD: When Collaborative Information is Not Enough. CoRR Evgeny Frolov, Ivan V. Oseledets
2018	—	`ch.`	Matrix Factorization for Collaborative Recommendations. Collaborative Recommendations Evgeny Frolov, Ivan V. Oseledets
2018	J	`jnl`	Revealing the Unobserved by Linking Collaborative Behavior and Side Knowledge. CoRR Evgeny Frolov, Ivan V. Oseledets
2017	J	`jnl`	Tensor methods and recommender systems. WIREs Data Mining Knowl. Discov. Evgeny Frolov, Ivan V. Oseledets
2016	A	`conf`	Fifty Shades of Ratings: How to Benefit from a Negative Feedback in Top-N Recommendations Tasks. RecSys Evgeny Frolov, Ivan V. Oseledets
2016	J	`jnl`	Fifty Shades of Ratings: How to Benefit from a Negative Feedback in Top-N Recommendations Tasks. CoRR Evgeny Frolov, Ivan V. Oseledets
2016	J	`jnl`	Tensor Methods and Recommender Systems. CoRR Evgeny Frolov, Ivan V. Oseledets