Oleksandr Shchur
Applied Scientist at AWS AI.
I’m an Applied Scientist at AWS AI in Berlin, where I work on AutoGluon. Currently my research focuses on time series forecasting and AutoML.
I did a PhD in machine learning at the Technical University of Munich, supervised by Stephan Günnemann. During my PhD I primarily worked on temporal point processes (TPPs) — probabilistic models for continuous-time event sequences, such as user activity on social media or earthquake sequences in seismology.
If you want to learn more about my research, have a look at my blog or my PhD thesis.
news
Sep 04, 2024 | I have presented our latest work on time series forecasting at the AutoML Summer School in Hannover & AutoML Conference in Paris (slides). |
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Apr 17, 2024 | We have released AutoGluon v1.1, now including pretrained models for time series forecasting! |
Mar 31, 2024 | We have released Chronos, a family of pretrained models for time series forecasting (code, 🤗 model weights) |
latest posts
Jun 28, 2021 | Temporal Point Processes 2: Neural TPP Models |
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Dec 17, 2020 | Temporal Point Processes 1: The Conditional Intensity Function |