Spotlight
|
Wed 18:30 |
DEPTS: Deep Expansion Learning for Periodic Time Series Forecasting Wei Fan · Shun Zheng · Xiaohan Yi · Wei Cao · Yanjie Fu · Jiang Bian · Tie-Yan Liu |
|
Poster
|
Tue 18:30 |
Back2Future: Leveraging Backfill Dynamics for Improving Real-time Predictions in Future Harshavardhan Kamarthi · Alexander Rodríguez · B. Aditya Prakash |
|
Poster
|
Thu 18:30 |
Reversible Instance Normalization for Accurate Time-Series Forecasting against Distribution Shift Taesung Kim · Jinhee Kim · Yunwon Tae · Cheonbok Park · Jang-Ho Choi · Jaegul Choo |
|
Poster
|
Wed 18:30 |
DEPTS: Deep Expansion Learning for Periodic Time Series Forecasting Wei Fan · Shun Zheng · Xiaohan Yi · Wei Cao · Yanjie Fu · Jiang Bian · Tie-Yan Liu |
|
Poster
|
Thu 2:30 |
Pyraformer: Low-Complexity Pyramidal Attention for Long-Range Time Series Modeling and Forecasting Shi Zhan Liu · Hang Yu · Cong Liao · Jianguo Li · Weiyao Lin · Alex Liu · |
|
Oral
|
Thu 2:15 |
Pyraformer: Low-Complexity Pyramidal Attention for Long-Range Time Series Modeling and Forecasting Shi Zhan Liu · Hang Yu · Cong Liao · Jianguo Li · Weiyao Lin · Alex Liu · |
|
Spotlight
|
Tue 2:30 |
Learning the Dynamics of Physical Systems from Sparse Observations with Finite Element Networks Marten Lienen · Stephan Günnemann |
|
Poster
|
Thu 18:30 |
TAMP-S2GCNets: Coupling Time-Aware Multipersistence Knowledge Representation with Spatio-Supra Graph Convolutional Networks for Time-Series Forecasting Yuzhou Chen · Ignacio Segovia-Dominguez · Baris Coskunuzer · Yulia Gel |
|
Workshop
|
Fri 15:00 |
A weakly supervised framework for high-resolution crop yield forecasts Dilli Paudel · Diego Marcos · Allard de Wit · Hendrik Boogaard · Ioannis N. Athanasiadis |
|
Spotlight
|
Thu 18:30 |
TAMP-S2GCNets: Coupling Time-Aware Multipersistence Knowledge Representation with Spatio-Supra Graph Convolutional Networks for Time-Series Forecasting Yuzhou Chen · Ignacio Segovia-Dominguez · Baris Coskunuzer · Yulia Gel |
|
Poster
|
Thu 18:30 |
On the benefits of maximum likelihood estimation for Regression and Forecasting Pranjal Awasthi · Abhimanyu Das · Rajat Sen · Ananda Suresh |
|
Poster
|
Thu 2:30 |
PSA-GAN: Progressive Self Attention GANs for Synthetic Time Series Paul Jeha · Michael Bohlke-Schneider · Pedro Mercado · Shubham Kapoor · Rajbir Nirwan · Valentin Flunkert · Jan Gasthaus · Tim Januschowski |