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Learning Quantile Functions without Quantile Crossing for
  Distribution-free Time Series Forecasting

Learning Quantile Functions without Quantile Crossing for Distribution-free Time Series Forecasting

12 November 2021
Youngsuk Park
Danielle C. Maddix
Franccois-Xavier Aubet
Kelvin K. Kan
Jan Gasthaus
Yuyang Wang
    UQCV
    AI4TS
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Papers citing "Learning Quantile Functions without Quantile Crossing for Distribution-free Time Series Forecasting"

3 / 3 papers shown
Title
Towards Neural Scaling Laws for Time Series Foundation Models
Towards Neural Scaling Laws for Time Series Foundation Models
Qingren Yao
Chao-Han Huck Yang
Renhe Jiang
Yuxuan Liang
Ming Jin
Shirui Pan
AI4TS
AI4CE
22
6
0
16 Oct 2024
Neural Spline Search for Quantile Probabilistic Modeling
Neural Spline Search for Quantile Probabilistic Modeling
Ruoxi Sun
Chun-Liang Li
Sercan Ö. Arik
Michael W. Dusenberry
Chen-Yu Lee
Tomas Pfister
AI4TS
28
5
0
12 Jan 2023
Domain Adaptation for Time Series Forecasting via Attention Sharing
Domain Adaptation for Time Series Forecasting via Attention Sharing
Xiaoyong Jin
Youngsuk Park
Danielle C. Maddix
Bernie Wang
Xifeng Yan
TTA
OOD
AI4TS
91
59
0
13 Feb 2021
1