Author

Maarten P. Scholl

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#artificial intelligence Preprint Sep 2026

$t_0$: A Time-Series Foundation Model for Forecasting with Context

We present $t_0$, a family of open-weights foundation models for forecasting with multivariate context. We release its first two members: $\texttt{t0-alpha}$ and $\texttt{t0-beta}$, respectively 102M and 256M parameters. Both condition their forecasts on target history, past covariates, and known-future covariates, wit...

Lucas Meyer, Claudio Sole, Hui-Kan Xiang et al. · 2 citations

#machine learning Preprint Sep 2026

Differentiable Electricity-Market Clearing for Gradient-Based Planning

Differentiable market clearing turns market-aware planning into a problem gradients can search: each forward pass solves the market, and reverse-mode automatic differentiation propagates the planning cost back through the cleared prices to the plan.

Luca Mungo, Maarten P. Scholl, A. Quera-Bofarull · 0 citations