ArXiv TLDR

Alexander Mitsos

2 papers · Latest:

Machine Learning

Iterative Model-Learning Scheme via Gaussian Processes for Nonlinear Model Predictive Control of (Semi-)Batch Processes

This paper proposes a Gaussian Process-based model-learning NMPC (GP-MLMPC) for nonlinear batch processes, achieving significant performance improvements with limited data.

2604.22672
Machine Learning

Tabular foundation models for in-context prediction of molecular properties

Tabular foundation models (TFMs) enable accurate, cost-efficient in-context prediction of molecular properties, outperforming fine-tuning on small datasets.

2604.16123

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