Oleksandr Shchur

According to our database, Oleksandr Shchur authored at least 14 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Chronos: Learning the Language of Time Series.

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

CoRR, 2024

2023

Add and Thin: Diffusion for Temporal Point Processes.

David Lüdke, Marin Bilos, Oleksandr Shchur, Marten Lienen, Stephan Günnemann

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

AutoGluon-TimeSeries: AutoML for Probabilistic Time Series Forecasting.

Oleksandr Shchur, Ali Caner Türkmen, Nick Erickson, Huibin Shen, Alexander Shirkov, Tony Hu, Bernie Wang

Proceedings of the International Conference on Automated Machine Learning, 2023

2022

Modeling Continuous-time Event Data with Neural Temporal Point Processes.

Oleksandr Shchur

PhD thesis, 2022

2021

Detecting Anomalous Event Sequences with Temporal Point Processes.

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

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Neural Temporal Point Processes: A Review.

Oleksandr Shchur, Ali Caner Türkmen, Tim Januschowski, Stephan Günnemann

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020

Fast and Flexible Temporal Point Processes with Triangular Maps.

Oleksandr Shchur, Nicholas Gao, Marin Bilos, Stephan Günnemann

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Intensity-Free Learning of Temporal Point Processes.

Oleksandr Shchur, Marin Bilos, Stephan Günnemann

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Overlapping Community Detection with Graph Neural Networks.

Oleksandr Shchur, Stephan Günnemann

CoRR, 2019

2018

Pitfalls of Graph Neural Network Evaluation.

Oleksandr Shchur, Maximilian Mumme, Aleksandar Bojchevski, Stephan Günnemann

CoRR, 2018

Dual-Primal Graph Convolutional Networks.

Federico Monti, Oleksandr Shchur, Aleksandar Bojchevski, Or Litany, Stephan Günnemann, Michael M. Bronstein

CoRR, 2018

NetGAN: Generating Graphs via Random Walks.

Aleksandar Bojchevski, Oleksandr Shchur, Daniel Zügner, Stephan Günnemann

Proceedings of the 35th International Conference on Machine Learning, 2018

Anomaly Detection in Car-Booking Graphs.

Oleksandr Shchur, Aleksandar Bojchevski, Mohamed Farghal, Stephan Günnemann, Yusuf Saber

Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

2017

Introduction to Tensor Decompositions and their Applications in Machine Learning.

Stephan Rabanser, Oleksandr Shchur, Stephan Günnemann

CoRR, 2017