When in Doubt: Neural Non-Parametric Uncertainty Quantification for
Epidemic Forecasting

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When in Doubt: Neural Non-Parametric Uncertainty Quantification for Epidemic Forecasting

7 June 2021

Harshavardhan Kamarthi

Lingkai Kong

Alexander Rodríguez

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Papers citing "When in Doubt: Neural Non-Parametric Uncertainty Quantification for Epidemic Forecasting"

14 / 14 papers shown

Title
Adaptive Conformal Prediction Intervals Over Trajectory Ensembles Ruipu Li Daniel Menacho Alexander Rodríguez AI4TS 48 0 0 18 Aug 2025
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 90 3 0 02 Jul 2024
Learning Graph Structures and Uncertainty for Accurate and Calibrated Time-series Forecasting Harshavardhan Kamarthi Lingkai Kong Alexander Rodríguez Chao Zhang B Aditya Prakash AI4TS 119 1 0 02 Jul 2024
Time-Series Forecasting for Out-of-Distribution Generalization Using Invariant Learning Haoxin Liu Harshavardhan Kamarthi Lingkai Kong Zhiyuan Zhao Chao Zhang B. Aditya Prakash OODD OOD AI4TS 108 16 0 13 Jun 2024
Time-MMD: Multi-Domain Multimodal Dataset for Time Series Analysis Haoxin Liu Shangqing Xu Zhiyuan Zhao Lingkai Kong Harshavardhan Kamarthi ... Megha Sharma Jiaming Cui Qingsong Wen Chao Zhang B. Aditya Prakash AI4TS 151 23 0 12 Jun 2024
Large Pre-trained time series models for cross-domain Time series analysis tasks Harshavardhan Kamarthi B. A. Prakash VLM AI4TS 156 15 0 19 Nov 2023
PEMS: Pre-trained Epidemic Time-series Models Harshavardhan Kamarthi B. A. Prakash AI4TS 160 2 0 14 Nov 2023
When Rigidity Hurts: Soft Consistency Regularization for Probabilistic Hierarchical Time Series Forecasting Harshavardhan Kamarthi Lingkai Kong Alexander Rodríguez Chao Zhang B. Prakash AI4TS 120 5 0 17 Oct 2023
Machine Learning for Infectious Disease Risk Prediction: A Survey Mutong Liu Yang Liu Jiming Liu LM&MA AI4CE 73 2 0 06 Aug 2023
MUBen: Benchmarking the Uncertainty of Molecular Representation Models Yinghao Li Lingkai Kong Yuanqi Du Yue Yu Yuchen Zhuang Wenhao Mu Chao Zhang 121 13 0 14 Jun 2023
End-to-End Stochastic Optimization with Energy-Based Model Lingkai Kong Jiaming Cui Yuchen Zhuang Rui Feng B. Prakash Chao Zhang 74 20 0 25 Nov 2022
Data-Centric Epidemic Forecasting: A Survey Alexander Rodríguez Harshavardhan Kamarthi Pulak Agarwal Javen Ho Mira Patel Suchet Sapre B. Prakash OOD 116 20 0 19 Jul 2022
EINNs: Epidemiologically-informed Neural Networks Alexander Rodríguez Jiaming Cui Naren Ramakrishnan B. Adhikari B. Prakash 173 35 0 21 Feb 2022
CAMul: Calibrated and Accurate Multi-view Time-Series Forecasting Harshavardhan Kamarthi Lingkai Kong Alexander Rodríguez Chao Zhang B. Prakash AI4TS 134 18 0 15 Sep 2021