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cs.LG2025
Flow-based Conformal Prediction for Multi-dimensional Time Series
Junghwan Lee, Chen Xu, Yao Xie
Time series prediction underpins a broad range of downstream tasks across many scientific domains. Recent advances and increasing adoption of black-box machine learning models for…
cs.LG2024★ 1 cited
Transformer Conformal Prediction for Time Series
Junghwan Lee, Chen Xu, Yao Xie
We present a conformal prediction method for time series using the Transformer architecture to capture long-memory and long-range dependencies. Specifically, we use the Transformer…
cs.LG2023
Federated Learning in Temporal Heterogeneity
Junghwan Lee
In this work, we explored federated learning in temporal heterogeneity across clients. We observed that global model obtained by \texttt{FedAvg} trained with fixed-length sequences…