Machine Learning for Health Group @ Aalto University
Finnish Center for Artificial Intelligence

Email: firstname.lastname(at)aalto.fi
GitHub: @AlexanderVNikitin
Twitter: @NikitinAlexV
Blog: Medium

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Status

I work on machine learning and probabilistic methods. In particular, I am interested in generative models, uncertainty quantification, time series, and graphs. My research is driven by applications in predictive maintenance, biology, and health.

Publications

Daniel Augusto de Souza, Alexander Nikitin, S. T. John, Magnus Ross, Mauricio A. Álvarez, Marc Peter Deisenroth, João P. P. Gomes, Diego Mesquita, and César Lincoln Mattos. Thin and Deep Gaussian Processes. 2023. Accepted to NeurIPS.
Preprint | Code

Alexander Nikitin, Letizia Iannucci, Samuel Kaski. TSGM: A Flexible Framework for Generative Modeling of Synthetic Time Series. 2023. Submitted.
Preprint | Code

Nikitin, Alexander, and Samuel Kaski. 2022. "Human-in-the-Loop Large-Scale Predictive Maintenance of Workstations." In Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, pp. 3682-3690.
Preprint | ACM | Poster | Presentation

Nikitin, Alexander V., S. T. John, Arno Solin, and Samuel Kaski. 2022. Non-separable spatio-temporal graph kernels via SPDEs. In International Conference on Artificial Intelligence and Statistics (AISTATS), PMLR.
Preprint | PMLR | Poster | Code

Alexander Nikitin and Samuel Kaski. 2021. Decision Rule Elicitation for Domain Adaptation. 26th International Conference on Intelligent User Interfaces. Association for Computing Machinery, New York, NY, USA, 244–248.
Preprint | ACM

Open Source

Time Series Generative Modeling (TSGM). GitHub
Spatio-temporal graph dataset of COVID-19 distribution over the US. GitHub

Talks

Graph kernels via SPDE framework, BayesComp 2023. Slides

Patents

My research has resulted in several granted patents, e.g., FI130615B, FI130697B1, and FI130073B.

Teaching

Machine learning: Advanced Probabilistic Mehtods (2021-...), TA, Aalto University,
Bayesian Data Analysis: Global South (2021), TA, Aalto University,
Principles of Algorithmic Techniques (2020), TA, Aalto University.

Supervision

I have supervised 4 BSc, 1 intern, and 2 MSc projects.

Community Service

I am a reviewer for NeurIPS, AISTATS, IEEE Transactions on Pattern Analysis and Machine Intelligence, EMNLP, and other ML and data mining conferences and journals.