2 papers
cs.LG2026
Incorruptible Neural Networks: Training Models that can Generalize to Large Internal Perturbations
Philip Jacobson, Ben Feinberg, Suhas Kumar +3
Flat regions of the neural network loss landscape have long been hypothesized to correlate with better generalization properties. A closely related but distinct problem is training…
physics.ins-det2025
First stave results towards mitigating sensor fracturing with interposers in the ATLAS ITk strips barrel
G. D'Amen, D. Dewhurst, E. Dibley +19
At the conclusion of Run 3 of the Large Hadron Collider (LHC) at CERN, the accelerator complex will be upgraded to the High-Luminosity LHC (HL-LHC), allowing it to increase the dat…