Towards foundation-style models for energy-frontier heterogeneous neutrino detectors via self-supervised pretraining
Nature Machine Intelligence, Published online: 30 September 2026; doi:10.1038/s42256-026-01309-6 Alonso-Monsalve et al. demonstrate that self-supervised pretraining helps deep learning models to interpret complex neutrino detector events, improving classification, reconstruction and data efficiency while enabling transfer across different neutrino detector technologies.
We haven't written up this one. Nature Machine Intelligence has the full story — the link below goes straight to it.
