Alexander Nikitin
Trustworthy AI-
Machine Learning for Health Group @ Aalto University
Finnish Center for Artificial Intelligence
Email: firstname.lastname(at)aalto.fi
GitHub: @AlexanderVNikitin
Twitter: @NikitinAlexV
Blog: Medium
Status
I specialize in machine learning and probabilistic methods with a focus on trustworthiness. In particular, I am interested in generative models, uncertainty quantification, time series, and graphs. My research is driven by real-world problems in predictive maintenance, biology, and healthcare.Selected Publications
Alexander Nikitin, Jannik Kossen, Yarin Gal, Pekka Marttinen. Kernel Language Entropy: Fine-grained Uncertainty Quantification for LLMs from Semantic Similarities. NeurIPS'24.Preprint | Code
Alexander Nikitin, Letizia Iannucci, Samuel Kaski. TSGM: A Flexible Framework for Generative Modeling of Synthetic Time Series. NeurIPS'24.
Preprint | Code
Sergio Hernández-Gutiérrez, Minttu Alakuijala, Alexander Nikitin, Pekka Marttinen. Recursive Decomposition with Dependencies for Generic Divide-and-Conquer Reasoning. Workshop on System-2 Reasoning at Scale @ NeurIPS'24.
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. NeurIPS'23.
Preprint | Code
Alexander Nikitin and Samuel Kaski. Human-in-the-Loop Large-Scale Predictive Maintenance of Workstations. KDD'22.
Preprint | ACM | Poster | Presentation
Alexander Nikitin, Ti John, Arno Solin, and Samuel Kaski. Non-separable spatio-temporal graph kernels via SPDEs. AISTATS'22.
Preprint | PMLR | Poster | Code
Alexander Nikitin and Samuel Kaski. Decision Rule Elicitation for Domain Adaptation. IUI'21.
Preprint | ACM
Open Source
Time Series Generative Modeling (TSGM). GitHubTopoNetX (contributor). GitHub
Talks
Graph kernels via SPDE framework, BayesComp 2023. SlidesPatents
My research has resulted in several granted patents, e.g., FI130615B, FI130697B1, and FI130073B.Teaching
Seminar on Large Language Models (2023-...), Aalto University,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.