Jan Gasthaus
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
15
Venues
9
Active years
2009–2022
Best venue rank
A*
Where they publish
Papers
15 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2022 | AISTATS | Multivariate Quantile Function Forecaster. | Kelvin Kan, Franois-Xavier Aubet, Tim Januschowski, Youngsuk Park, Konstantinos Benidis, Lars Ruthotto, Jan Gasthaus |
| 2022 | AISTATS | Learning Quantile Functions without Quantile Crossing for Distribution-free Time Series Forecasting. | Youngsuk Park, Danielle C. Maddix, Franois-Xavier Aubet, Kelvin Kan, Jan Gasthaus, Yuyang Wang |
| 2022 | ICLR | PSA-GAN: Progressive Self Attention GANs for Synthetic Time Series. | Paul Jeha, Michael Bohlke-Schneider, Pedro Mercado, Shubham Kapoor, Rajbir-Singh Nirwan, Valentin Flunkert, Jan Gasthaus, Tim Januschowski |
| 2022 | IJCAI | Neural Contextual Anomaly Detection for Time Series. | Chris U. Carmona, Franois-Xavier Aubet, Valentin Flunkert, Jan Gasthaus |
| 2022 | KDD | 8th SIGKDD International Workshop on Mining and Learning from Time Series - Deep Forecasting: Models, Interpretability, and Applications. | Sanjay Purushotham, Jun Huan, Cong Shen, Dongjin Song, Yuyang Wang, Jan Gasthaus, Hilaf Hasson, Youngsuk Park, Sungyong Seo, Yuriy Nevmyvaka |
| 2021 | ICML | End-to-End Learning of Coherent Probabilistic Forecasts for Hierarchical Time Series. | Syama Sundar Rangapuram, Lucien D. Werner, Konstantinos Benidis, Pedro Mercado, Jan Gasthaus, Tim Januschowski |
| 2020 | ICSOC | Anomaly Detection at Scale: The Case for Deep Distributional Time Series Models. | Fadhel Ayed, Lorenzo Stella, Tim Januschowski, Jan Gasthaus |
| 2020 | WWW | Forecasting Big Time Series: Theory and Practice. | Christos Faloutsos, Valentin Flunkert, Jan Gasthaus, Tim Januschowski, Yuyang Wang |
| 2020 | SIGMOD | Elastic Machine Learning Algorithms in Amazon SageMaker. | Edo Liberty, Zohar S. Karnin, Bing Xiang, Laurence Rouesnel, Baris Coskun, Ramesh Nallapati, Julio Delgado, Amir Sadoughi, Yury Astashonok, Piali Das, Can Balioglu, Saswata Chakravarty, Madhav Jha, Philip Gautier, David Arpin, Tim Januschowski, Valentin Flunkert, Yuyang Wang, Jan Gasthaus, Lorenzo Stella, Syama Sundar Rangapuram, David Salinas, Sebastian Schelter, Alex Smola |
| 2019 | AISTATS | Probabilistic Forecasting with Spline Quantile Function RNNs. | Jan Gasthaus, Konstantinos Benidis, Yuyang Wang, Syama Sundar Rangapuram, David Salinas, Valentin Flunkert, Tim Januschowski |
| 2019 | ICML | Deep Factors for Forecasting. | Yuyang Wang, Alex Smola, Danielle C. Maddix, Jan Gasthaus, Dean P. Foster, Tim Januschowski |
| 2019 | KDD | Forecasting Big Time Series: Theory and Practice. | Christos Faloutsos, Valentin Flunkert, Jan Gasthaus, Tim Januschowski, Yuyang Wang |
| 2019 | SIGMOD | Classical and Contemporary Approaches to Big Time Series Forecasting. | Christos Faloutsos, Jan Gasthaus, Tim Januschowski, Yuyang Wang |
| 2010 | DCC | Lossless Compression Based on the Sequence Memoizer. | Jan Gasthaus, Frank D. Wood, Yee Whye Teh |
| 2009 | ICML | A stochastic memoizer for sequence data. | Frank D. Wood, Cdric Archambeau, Jan Gasthaus, Lancelot James, Yee Whye Teh |