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cs.LG2026
Safe Domain Adaptation for Physics: Overcoming Nuisances, Label Shifts, and Simulation Priors
Ivan Kharuk
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 nuisances, and t…
astro-ph.IM2026
From raw data to neutrino candidates: a neural-network pipeline for Baikal-GVD
A. Matseiko, G. Plotnikov, I. Kharuk
We present a neural-network-based data processing pipeline for Baikal-GVD, designed to improve event reconstruction quality and accelerate neutrino candidates selection. The pipeli…
astro-ph.GA2026
Heavy interstellar scattering toward the near end of the Galactic bar
A. B. Pushkarev, A. Brunthaler, Y. Y. Kovalev +8
We present results of a pilot observational wide-field VLBI campaign on probing scattering properties of the partly ionized interstellar medium towards the Galactic plane sky regio…