Author

Nicholas Konz

2 papers indexed here

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Preprint Aug 2026

Represent, Then Generate: Multimodal-Conditioned Time-Series Generation under Irregular Missingness

Continuous physiological time series underpin modern clinical monitoring, yet many of the most informative signals are invasive, expensive, or simply unavailable for a given patient. Conditional generation offers a remedy: an absent signal can be synthesized from co-recorded signals and routine clinical variables. Exis...

H. Zhang, Jia-Heng Guo, Yu-Chao Huang et al. · 0 citations

#artificial intelligence Preprint Oct 2026

On the Divergence of Accuracy and Mechanism Consistency in Time Series World Models

A time series world model (TSWM) predicts a controlled system's state from its observed history and planned actions and exogenous inputs. Current approaches build forecasters with actions as covariates, trained and evaluated on prediction error under the executed plan. Yet world models compare unexecuted plans, but the...

H. Zhang, Jia-Heng Guo, Zheng Xu et al. · 0 citations