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Alexander Grigorievskiy
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2020 – today
- 2024
- [c4]Anastasiia Zakharova, Dmitriy Alexandrov, Maria Khodorchenko, Nikolay Butakov, Alexey Vasilev, Maxim Savchenko, Alexander Grigorievskiy:
Stalactite: toolbox for fast prototyping of vertical federated learning systems. RecSys 2024: 1187-1190 - [i4]Anastasiia Zakharova, Dmitriy Alexandrov, Maria Khodorchenko, Nikolay Butakov, Alexey Vasilev, Maxim Savchenko, Alexander Grigorievskiy:
Stalactite: Toolbox for Fast Prototyping of Vertical Federated Learning Systems. CoRR abs/2409.15558 (2024) - [i3]Abdulaziz Samra, Evgeny Frolov, Alexey Vasilev, Alexander Grigorievskiy, Anton Vakhrushev:
Cross-Domain Latent Factors Sharing via Implicit Matrix Factorization. CoRR abs/2409.15568 (2024) - 2022
- [i2]Elizaveta Stavinova, Alexander Grigorievskiy, Anna Volodkevich, Petr Chunaev, Klavdiya Bochenina, Dmitry Bugaychenko:
Synthetic Data-Based Simulators for Recommender Systems: A Survey. CoRR abs/2206.11338 (2022) - 2020
- [c3]Adrian Flanagan, Were Oyomno, Alexander Grigorievskiy, Kuan Eeik Tan, Suleiman A. Khan, Muhammad Ammad-ud-din:
Federated Multi-view Matrix Factorization for Personalized Recommendations. ECML/PKDD (2) 2020: 324-347 - [i1]Adrian Flanagan, Were Oyomno, Alexander Grigorievskiy, Kuan Eeik Tan, Suleiman A. Khan, Muhammad Ammad-ud-din:
Federated Multi-view Matrix Factorization for Personalized Recommendations. CoRR abs/2004.04256 (2020)
2010 – 2019
- 2019
- [b1]Alexander Grigorievskiy:
Advances in Randomly-Weighted Neural Networks and Temporal Gaussian Processes. Aalto University, Espoo, Finland, 2019 - 2017
- [c2]Alexander Grigorievskiy, Neil D. Lawrence, Simo Särkkä:
Parallelizable sparse inverse formulation Gaussian processes (SpInGP). MLSP 2017: 1-6 - 2016
- [j2]Alexander Grigorievskiy, Yoan Miche, Maarit Käpylä, Amaury Lendasse:
Singular Value Decomposition update and its application to (Inc)-OP-ELM. Neurocomputing 174: 99-108 (2016) - [c1]Alexander Grigorievskiy, Juha Karhunen:
Gaussian Process kernels for popular state-space time series models. IJCNN 2016: 3354-3363 - 2014
- [j1]Alexander Grigorievskiy, Yoan Miche, Anne-Mari Ventelä, Eric Séverin, Amaury Lendasse:
Long-term time series prediction using OP-ELM. Neural Networks 51: 50-56 (2014)
Coauthor Index
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