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Abdul Fatir Ansari

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#machine learning Preprint Oct 2026

PathFM: Fast Generative Forecasting of Multivariate Trajectories

Time series foundation models are becoming increasingly popular for general-purpose forecasting. However, most leading models predict marginal quantiles, leaving the dependence structure of future trajectories unspecified. This distinction matters for trajectory-dependent quantities such as cumulative demand, peak load...

Jia-Chen Yao, Xi-Yuan Zhang, An-Nan Yu et al. · 0 citations
Book Open access Aug 2026

Taming Structured Data Foundation Models with AutoML: A Hands-On Guide

Structured data drives enterprise decision-making, yet building predictive pipelines for time-series and tabular modalities requires intensive feature engineering, model selection, and other ''tricks of the trade''. AutoGluon, an open source AutoML system, automates this through multi-layer stack ensembling, providing...

Boran Han, Nick Erickson, Abdul Fatir Ansari et al. · 0 citations

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