Albert Sayapin

According to our database, Albert Sayapin authored at least 7 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Laplace Approximation for Bayesian Tensor Network Kernel Machines.

Albert Saiapin, Kim Batselier

CoRR, April, 2026

2025

Laplace Approximation For Tensor Train Kernel Machines In System Identification.

Albert Saiapin, Kim Batselier

CoRR, December, 2025

Tensor Network Based Feature Learning Model.

Albert Saiapin, Kim Batselier

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024

Federated privacy-preserving collaborative filtering for on-device next app prediction.

Albert Saiapin, Gleb Balitskiy, Daniel Bershatsky, Aleksandr Katrutsa, Evgeny Frolov, Alexey A. Frolov, Ivan V. Oseledets, Vitaliy Kharin

User Model. User Adapt. Interact., September, 2024

2023

Dynamic Collaborative Filtering for Matrix- and Tensor-based Recommender Systems.

Albert Saiapin, Ivan V. Oseledets, Evgeny Frolov

CoRR, 2023

2022

MEKER: Memory Efficient Knowledge Embedding Representation for Link Prediction and Question Answering.

Viktoria Chekalina, Anton Razzhigaev, Albert Sayapin, Alexander Panchenko

CoRR, 2022

MEKER: Memory Efficient Knowledge Embedding Representation for Link Prediction and Question Answering.

Viktoria Chekalina, Anton Razzhigaev, Albert Sayapin, Evgeny Frolov, Alexander Panchenko

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, 2022