Pang-Ning Tan

5 papers in the IJCAI proceedings

IJCAI 2023

Self-Recover: Forecasting Block Maxima in Time Series from Predictors with Disparate Temporal Coverage Using Self-Supervised Learning

with Asadullah Hill Galib, Andrew McDonald, Lifeng Luo

doi:10.24963/ijcai.2023/414

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IJCAI 2022

COMET Flows: Towards Generative Modeling of Multivariate Extremes and Tail Dependence

with Andrew McDonald, Lifeng Luo

doi:10.24963/ijcai.2022/462

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DeepExtrema: A Deep Learning Approach for Forecasting Block Maxima in Time Series Data

with Asadullah Hill Galib, Andrew McDonald, Tyler Wilson, Lifeng Luo

doi:10.24963/ijcai.2022/413

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IJCAI 2021

RCA: A Deep Collaborative Autoencoder Approach for Anomaly Detection

with Boyang Liu, Ding Wang, Kaixiang Lin, Jiayu Zhou

doi:10.24963/ijcai.2021/208

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IJCAI 2018

MUSCAT: Multi-Scale Spatio-Temporal Learning with Application to Climate Modeling

with Jianpeng Xu, Xi Liu, Tyler Wilson, Pouyan Hatami, Lifeng Luo

doi:10.24963/ijcai.2018/404

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