Long-term time series prediction using OP-ELM. - Alexander Grigorievskiy; Yoan Miche; Anne-Mari Ventelä; Eric Séverin; Amaury Lendasse (Neural Networks, 2014)

Gaussian Process kernels for popular state-space time series models. - Alexander Grigorievskiy; Juha Karhunen (IJCNN, 2016)

Singular Value Decomposition update and its application to (Inc)-OP-ELM. - Alexander Grigorievskiy; Yoan Miche; Maarit Käpylä; Amaury Lendasse (Neurocomputing, 2016)

Parallelizable sparse inverse formulation Gaussian processes (SpInGP). - Alexander Grigorievskiy; Neil D. Lawrence; Simo Särkkä (MLSP, 2017)

Advances in Randomly-Weighted Neural Networks and Temporal Gaussian Processes. - Alexander Grigorievskiy (2019)

Federated Multi-view Matrix Factorization for Personalized Recommendations. - Adrian Flanagan; Were Oyomno; Alexander Grigorievskiy; Kuan Eeik Tan; Suleiman A. Khan; Muhammad Ammad-ud-din (ECML/PKDD (2), 2020)

Synthetic Data-Based Simulators for Recommender Systems: A Survey. - Elizaveta Stavinova; Alexander Grigorievskiy; Anna Volodkevich; Petr Chunaev; Klavdiya Bochenina; Dmitry Bugaychenko (CoRR, 2022)

Stalactite: toolbox for fast prototyping of vertical federated learning systems. - Anastasiia Zakharova; Dmitriy Alexandrov; Maria Khodorchenko; Nikolay Butakov; Alexey Vasilev; Maxim Savchenko; Alexander Grigorievskiy (RecSys, 2024)

Cross-Domain Latent Factors Sharing via Implicit Matrix Factorization. - Abdulaziz Samra; Evgeny Frolov; Alexey Vasilev; Alexander Grigorievskiy; Anton Vakhrushev (CoRR, 2024)