Shchur, Oleksandr

11 publications

AISTATS 2025 ChronosX: Adapting Pretrained Time Series Models with Exogenous Variables Sebastian Pineda Arango, Pedro Mercado, Shubham Kapoor, Abdul Fatir Ansari, Lorenzo Stella, Huibin Shen, Hugo Henri Joseph Senetaire, Ali Caner Turkmen, Oleksandr Shchur, Danielle C. Maddix, Michael Bohlke-Schneider, Bernie Wang, Syama Sundar Rangapuram
AutoML 2025 Multi-Layer Stack Ensembles for Time Series Forecasting Nathanael Bosch, Oleksandr Shchur, Nick Erickson, Michael Bohlke-Schneider, Ali Caner Turkmen
TMLR 2024 Chronos: Learning the Language of Time Series Abdul Fatir Ansari, Lorenzo Stella, Ali Caner Turkmen, Xiyuan Zhang, Pedro Mercado, Huibin Shen, Oleksandr Shchur, Syama Sundar Rangapuram, Sebastian Pineda Arango, Shubham Kapoor, Jasper Zschiegner, Danielle C. Maddix, Hao Wang, Michael W. Mahoney, Kari Torkkola, Andrew Gordon Wilson, Michael Bohlke-Schneider, Bernie Wang
NeurIPS 2023 Add and Thin: Diffusion for Temporal Point Processes David Lüdke, Marin Biloš, Oleksandr Shchur, Marten Lienen, Stephan Günnemann
AutoML 2023 AutoGluon–TimeSeries: AutoML for Probabilistic Time Series Forecasting Oleksandr Shchur, Ali Caner Turkmen, Nick Erickson, Huibin Shen, Alexander Shirkov, Tony Hu, Bernie Wang
NeurIPSW 2022 Quantifying Causal Contribution in Rare Event Data Ali Caner Turkmen, Dominik Janzing, Oleksandr Shchur, Lenon Minorics, Laurent Callot
NeurIPS 2021 Detecting Anomalous Event Sequences with Temporal Point Processes Oleksandr Shchur, Ali Caner Turkmen, Tim Januschowski, Jan Gasthaus, Stephan Günnemann
IJCAI 2021 Neural Temporal Point Processes: A Review Oleksandr Shchur, Ali Caner Türkmen, Tim Januschowski, Stephan Günnemann
NeurIPS 2020 Fast and Flexible Temporal Point Processes with Triangular Maps Oleksandr Shchur, Nicholas Gao, Marin Biloš, Stephan Günnemann
ICLR 2020 Intensity-Free Learning of Temporal Point Processes Oleksandr Shchur, Marin Biloš, Stephan Günnemann
ICML 2018 NetGAN: Generating Graphs via Random Walks Aleksandar Bojchevski, Oleksandr Shchur, Daniel Zügner, Stephan Günnemann