When Rigidity Hurts: Soft Consistency Regularization for Probabilistic Hierarchical Time Series Forecasting

17 October 2023

Harshavardhan Kamarthi

Lingkai Kong

Alexander Rodríguez

Papers citing "When Rigidity Hurts: Soft Consistency Regularization for Probabilistic Hierarchical Time Series Forecasting"

6 / 6 papers shown

Title
Large Scale Hierarchical Industrial Demand Time-Series Forecasting incorporating Sparsity Harshavardhan Kamarthi Aditya B. Sasanur Xinjie Tong Xingyu Zhou James Peters Joe Czyzyk B. Aditya Prakash AI4TS 19 2 0 02 Jul 2024
Hierarchically Coherent Multivariate Mixture Networks Kin G. Olivares Dave Luo Cristian Challu Stefania La Vattiata Max Mergenthaler-Canseco A. Dubrawski BDL AI4TS 21 0 0 11 May 2023
Dirichlet Proportions Model for Hierarchically Coherent Probabilistic Forecasting Abhimanyu Das Weihao Kong Biswajit Paria Rajat Sen AI4TS 19 6 0 21 Apr 2022
Probabilistic Hierarchical Forecasting with Deep Poisson Mixtures Kin G. Olivares N. Meetei Ruijun Ma Rohan Reddy Mengfei Cao Lee Dicker AI4TS 25 24 0 25 Oct 2021
CAMul: Calibrated and Accurate Multi-view Time-Series Forecasting Harshavardhan Kamarthi Lingkai Kong Alexander Rodríguez Chao Zhang B. Prakash AI4TS 33 17 0 15 Sep 2021
Learning Interpretable Deep State Space Model for Probabilistic Time Series Forecasting Longyuan Li Junchi Yan Xiaokang Yang Yaohui Jin OOD BDL AI4TS 32 60 0 31 Jan 2021