Oleksandr Shchur

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 20

Top Topics

Event Sequences

Point Processes

Overlapping Community Detection

Top Venues

Publications

Abdul Fatir Ansari, Lorenzo Stella, Ali Caner Türkmen, 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
Chronos: Learning the Language of Time Series. CoRR (2024)
David Lüdke, Marin Bilos, Oleksandr Shchur, Marten Lienen, Stephan Günnemann
Add and Thin: Diffusion for Temporal Point Processes. NeurIPS (2023)
Oleksandr Shchur, Ali Caner Türkmen, Nick Erickson, Huibin Shen, Alexander Shirkov, Tony Hu, Bernie Wang
AutoGluon-TimeSeries: AutoML for Probabilistic Time Series Forecasting. AutoML (2023)
David Lüdke, Marin Bilos, Oleksandr Shchur, Marten Lienen, Stephan Günnemann
Add and Thin: Diffusion for Temporal Point Processes. CoRR (2023)
Oleksandr Shchur, Ali Caner Türkmen, Nick Erickson, Huibin Shen, Alexander Shirkov, Tony Hu, Yuyang Wang
AutoGluon-TimeSeries: AutoML for Probabilistic Time Series Forecasting. CoRR (2023)
Oleksandr Shchur, Ali Caner Türkmen, Tim Januschowski, Jan Gasthaus, Stephan Günnemann
Detecting Anomalous Event Sequences with Temporal Point Processes. CoRR (2021)
Oleksandr Shchur, Ali Caner Türkmen, Tim Januschowski, Stephan Günnemann
Neural Temporal Point Processes: A Review. IJCAI (2021)
Oleksandr Shchur, Ali Caner Türkmen, Tim Januschowski, Stephan Günnemann
Neural Temporal Point Processes: A Review. CoRR (2021)
Oleksandr Shchur, Ali Caner Türkmen, Tim Januschowski, Jan Gasthaus, Stephan Günnemann
Detecting Anomalous Event Sequences with Temporal Point Processes. NeurIPS (2021)
Oleksandr Shchur, Marin Bilos, Stephan Günnemann
Intensity-Free Learning of Temporal Point Processes. ICLR (2020)
Oleksandr Shchur, Nicholas Gao, Marin Bilos, Stephan Günnemann
Fast and Flexible Temporal Point Processes with Triangular Maps. NeurIPS (2020)
Oleksandr Shchur, Nicholas Gao, Marin Bilos, Stephan Günnemann
Fast and Flexible Temporal Point Processes with Triangular Maps. CoRR (2020)
Oleksandr Shchur, Marin Bilos, Stephan Günnemann
Intensity-Free Learning of Temporal Point Processes. CoRR (2019)
Oleksandr Shchur, Stephan Günnemann
Overlapping Community Detection with Graph Neural Networks. CoRR (2019)
Federico Monti, Oleksandr Shchur, Aleksandar Bojchevski, Or Litany, Stephan Günnemann, Michael M. Bronstein
Dual-Primal Graph Convolutional Networks. CoRR (2018)
Aleksandar Bojchevski, Oleksandr Shchur, Daniel Zügner, Stephan Günnemann
NetGAN: Generating Graphs via Random Walks. CoRR (2018)
Oleksandr Shchur, Maximilian Mumme, Aleksandar Bojchevski, Stephan Günnemann
Pitfalls of Graph Neural Network Evaluation. CoRR (2018)
Oleksandr Shchur, Aleksandar Bojchevski, Mohamed Farghal, Stephan Günnemann, Yusuf Saber
Anomaly Detection in Car-Booking Graphs. ICDM Workshops (2018)
Aleksandar Bojchevski, Oleksandr Shchur, Daniel Zügner, Stephan Günnemann
NetGAN: Generating Graphs via Random Walks. ICML (2018)
Stephan Rabanser, Oleksandr Shchur, Stephan Günnemann
Introduction to Tensor Decompositions and their Applications in Machine Learning. CoRR (2017)