Safe domain adaptation for physics: addressing nuisance differences, label shifts, and simulation priors
Read the original at arxiv.org→arXiv:2608.18190v1 Announce Type: new Abstract: Domain adaptation is widely used to make neural networks trained on simulations applicable to experimental data. Its premise is that the two domains differ only in...
Original headline: "Safe Domain Adaptation for Physics: Overcoming Nuisances, Label Shifts, and Simulation Priors"
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- Aug 20, 04:00 UTC arXiv cs.LG lead source Safe Domain Adaptation for Physics: Overcoming Nuisances, Label Shifts, and Simulation Priors