CAMul: Calibrated and Accurate Multi-view Time-Series Forecasting

CAMul: Calibrated and Accurate Multi-view Time-Series Forecasting

15 September 2021

Harshavardhan Kamarthi

Lingkai Kong

Alexander Rodríguez

Papers citing "CAMul: Calibrated and Accurate Multi-view Time-Series Forecasting"

6 / 6 papers shown

Title
Revisiting Backdoor Attacks on Time Series Classification in the Frequency Domain Y. Huang Mi Zhang Z. Wang Wenxuan Li Min Yang AI4TS AAML 45 0 0 12 Mar 2025
When Rigidity Hurts: Soft Consistency Regularization for Probabilistic Hierarchical Time Series Forecasting Harshavardhan Kamarthi Lingkai Kong Alexander Rodríguez Chao Zhang B. Prakash AI4TS 13 5 0 17 Oct 2023
UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series Forecasting Xu Liu Junfeng Hu Yuan N. Li Shizhe Diao Yuxuan Liang Bryan Hooi Roger Zimmermann AI4TS 14 75 0 15 Oct 2023
Differentiable Agent-based Epidemiology Ayush Chopra Alexander Rodríguez J. Subramanian Arnau Quera-Bofarull Balaji Krishnamurthy B. Prakash Ramesh Raskar AI4CE 16 19 0 20 Jul 2022
Data-Centric Epidemic Forecasting: A Survey Alexander Rodríguez Harshavardhan Kamarthi Pulak Agarwal Javen Ho Mira Patel Suchet Sapre B. Prakash OOD 16 18 0 19 Jul 2022
Learning Interpretable Deep State Space Model for Probabilistic Time Series Forecasting Longyuan Li Junchi Yan Xiaokang Yang Yaohui Jin OOD BDL AI4TS 32 54 0 31 Jan 2021