Shchur, Oleksandr

14 publications

ICLR 2026 Test-Time Efficient Pretrained Model Portfolios for Time Series Forecasting Mert Kayaalp, Ali Caner Turkmen, Oleksandr Shchur, Pedro Mercado, Abdul Fatir Ansari, Michael Bohlke-Schneider, Bernie Wang

ICLR 2026 Understanding Transformers for Time Series: Rank Structure, Flow-of-Ranks, and Compressibility Annan Yu, Danielle C. Maddix, Boran Han, Xiyuan Zhang, Abdul Fatir Ansari, Oleksandr Shchur, Christos Faloutsos, Andrew Gordon Wilson, Michael W. Mahoney, Bernie Wang

ICLR 2026 Understanding the Implicit Biases of Design Choices for Time Series Foundation Models Annan Yu, Danielle C. Maddix, Boran Han, Xiyuan Zhang, Abdul Fatir Ansari, Oleksandr Shchur, Christos Faloutsos, Andrew Gordon Wilson, Michael W. Mahoney, Bernie Wang

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