COMETA Colloquium: Matthias Vigl (TUM)

Monday 22 Jun 2026, 14:00 → 16:00 Europe/Zurich

This event is organised by the COMETA COST Action, a EU-funded networking initiative that promotes knowledge sharing and cooperation across the theory, experiment, and ML communities, with the aim of improving the measurement and interpretation of multiboson processes at the LHC.

Find recordings of all COMETA Colloquia on our youtube channel @multibosons!

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14:00 → 15:00 ML-scaling laws for HEP

High Energy Physics and deep learning have increasingly diverged in their routes to data processing: In collider physics, performance has been driven by deep, hand-engineered pipelines that encode decades of domain knowledge, while modern machine learning has advanced primarily through scale, leveraging large datasets and increasingly generic model architectures, with performance driven by predictable scaling laws as a function of compute. While ML has long been embedded in the HEP analysis pipeline, the rate of improvement has remained slower than the rapid, scale-driven progress observed in industry.
We show how foundation-model principles (scaling laws, transfer learning, and end-to-end optimisation) can be applied to LHC analyses. Using the ATLAS GN3 jet flavour tagger as a case study, we demonstrate that scaling model size and training compute yields substantial gains in jet tagging performance, following predictable power-law behaviour analogous to what has been observed in language and vision models, leading to order of magnitude improvements in background rejection when extrapolating to frontier industry scale.

Speaker: Matthias Vigl (Technische Universität München)

Scaling_COMETA.pdf