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Qiwen Deng

2 accepted papers

2026

UniCA: Unified Covariate Adaptation for Time Series Foundation Model

ICLR 2026poster

Time Series Foundation Models (TSFMs) have achieved remarkable success through large-scale pretraining. However, their design primarily targets real-valued series, limiting their ability to handle general forecasting tasks involving diverse and often \emph{heterogeneous covariates}—such as categoric…

Cited by 0SourcecodeScholar
2024

DAM: Towards a Foundation Model for Forecasting

ICLR 2024poster

It is challenging to scale time series forecasting models such that they forecast accurately for multiple distinct domains and datasets, all with potentially different underlying collection procedures (e.g., sample resolution), patterns (e.g., periodicity), and prediction requirements (e.g., reconst…

Cited by 0SourcePDFScholar