Pang-Ning Tan
11 papers · 2018–2024 · 4 venues · across top CS/AI venues
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Papers
FIDE: Frequency-Inflated Conditional Diffusion Model for Extreme-Aware Time Series Generation
NeurIPS 2024
Self-Recover: Forecasting Block Maxima in Time Series from Predictors with Disparate Temporal Coverage Using Self-Supervised Learning
IJCAI 2023
COMET Flows: Towards Generative Modeling of Multivariate Extremes and Tail Dependence
IJCAI 2022
DeepExtrema: A Deep Learning Approach for Forecasting Block Maxima in Time Series Data
IJCAI 2022
DeepGPD: A Deep Learning Approach for Modeling Geospatio-Temporal Extreme Events
AAAI 2022
Unsupervised Anomaly Detection by Robust Density Estimation
AAAI 2022
Learning Deep Neural Networks under Agnostic Corrupted Supervision
ICML 2021
RCA: A Deep Collaborative Autoencoder Approach for Anomaly Detection
IJCAI 2021
Bursting the Filter Bubble: Fairness-Aware Network Link Prediction
AAAI 2020
OMuLeT: Online Multi-Lead Time Location Prediction for Hurricane Trajectory Forecasting
AAAI 2020
MUSCAT: Multi-Scale Spatio-Temporal Learning with Application to Climate Modeling
IJCAI 2018