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Oleksandr Shchur

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Chronos: Learning the Language of Time Series

Mar 12, 2024
Abdul Fatir Ansari, Lorenzo Stella, Caner Turkmen, Xiyuan Zhang, Pedro Mercado, Huibin Shen, Oleksandr Shchur, Syama Sundar Rangapuram, Sebastian Pineda Arango, Shubham Kapoor, Jasper Zschiegner, Danielle C. Maddix, Michael W. Mahoney, Kari Torkkola, Andrew Gordon Wilson, Michael Bohlke-Schneider, Yuyang Wang

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Add and Thin: Diffusion for Temporal Point Processes

Nov 02, 2023
David Lüdke, Marin Biloš, Oleksandr Shchur, Marten Lienen, Stephan Günnemann

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AutoGluon-TimeSeries: AutoML for Probabilistic Time Series Forecasting

Aug 10, 2023
Oleksandr Shchur, Caner Turkmen, Nick Erickson, Huibin Shen, Alexander Shirkov, Tony Hu, Yuyang Wang

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Detecting Anomalous Event Sequences with Temporal Point Processes

Jun 08, 2021
Oleksandr Shchur, Ali Caner Türkmen, Tim Januschowski, Jan Gasthaus, Stephan Günnemann

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Neural Temporal Point Processes: A Review

Apr 27, 2021
Oleksandr Shchur, Ali Caner Türkmen, Tim Januschowski, Stephan Günnemann

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Fast and Flexible Temporal Point Processes with Triangular Maps

Jun 22, 2020
Oleksandr Shchur, Nicholas Gao, Marin Biloš, Stephan Günnemann

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Overlapping Community Detection with Graph Neural Networks

Sep 26, 2019
Oleksandr Shchur, Stephan Günnemann

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Intensity-Free Learning of Temporal Point Processes

Sep 26, 2019
Oleksandr Shchur, Marin Biloš, Stephan Günnemann

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