CORDIS Project
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This project aims to develop simpler and more efficient generative models in machine learning, focusing on interpretability and reduced resource consumption. By leveraging techniques from statistical physics, it seeks to enhance data-driven discovery in fields like neuroscience, bioinformatics, and turbulence modeling…
Machine learning is revolutionizing science and society, enabling transformative breakthroughs such as predicting protein structures, simulating many body quantum systems, and redefining entire fields like healthcare, finance, or climate modeling.
Yet, this rapid progress comes at a cost: the unprecedented scale and complexity of state-of-the-art models make them resource-intensive, inaccessible, and often opaque.
These challenges limit their potential, hindering our ability to understand, optim…
UNIVERSIDAD COMPLUTENSE DE MADRID
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