Tim Januschowski
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
18
Venues
11
Active years
2011–2025
Best venue rank
A*
Where they publish
Papers
18 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | SIGMOD | Unity Catalog: Open and Universal Governance for the Lakehouse and Beyond. | Ramesh Chandra, Haogang Chen, Ray Matharu, Sarah Cai, Jeff Chen, Priyam Dutta, Bogdan Ghita, Todd Greenstein, Gopal Holla, Peng Huang, Yuchen Huo, Adrian Ionescu, Adriana Ispas, Tim Januschowski, Vihang Karajgaonkar, Stefania Leone, David Lewis, Andrew Li, Nong Li, Cheng Lian, Stephen Link, Qing Lu, Yesheng Ma, Chris Pettitt, Vijayan Prabhakaran, Bogdan Raducanu, Kyle Rong, Paul Roome, Samarth Shetty, Sean Smith, Xiaotong Sun, Yuyuan Tang, Weitao Wen, Lei Xia, Junlin Zeng, Ben Zhang, Reynold Xin, Matei Zaharia |
| 2023 | AISTATS | Coherent Probabilistic Forecasting of Temporal Hierarchies. | Syama Sundar Rangapuram, Shubham Kapoor, Rajbir-Singh Nirwan, Pedro Mercado, Tim Januschowski, Yuyang Wang, Michael Bohlke-Schneider |
| 2022 | AISTATS | Multivariate Quantile Function Forecaster. | Kelvin Kan, Franois-Xavier Aubet, Tim Januschowski, Youngsuk Park, Konstantinos Benidis, Lars Ruthotto, Jan Gasthaus |
| 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 |
| 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 |
| 2021 | IJCAI | Neural Temporal Point Processes: A Review. | Oleksandr Shchur, Ali Caner Trkmen, Tim Januschowski, Stephan Gnnemann |
| 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 | Resilient Neural Forecasting Systems. | Michael Bohlke-Schneider, Shubham Kapoor, Tim Januschowski |
| 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 |
| 2020 | VLDB | A Simple and Effective Predictive Resource Scaling Heuristic for Large-scale Cloud Applications. | Quentin Rebjock, Valentin Flunkert, Tim Januschowski, Laurent Callot, Joel Castellon |
| 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 |
| 2013 | ICDE | Realistic tenant traces for enterprise DBaaS. | Jan Schaffner, Tim Januschowski |
| 2013 | SIGMOD | RTP: robust tenant placement for elastic in-memory database clusters. | Jan Schaffner, Tim Januschowski, Megan Kercher, Tim Kraska, Hasso Plattner, Michael J. Franklin, Dean Jacobs |
| 2011 | CPAIOR | Branch-Cut-and-Propagate for the Maximum | Tim Januschowski, Marc E. Pfetsch |