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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…
cond-mat.mes-hall2026
Strong radial electric field scaling near nanoscale conductive filaments and the ReRAM resistive switching mechanism
Robin Jacobs-Gedrim, William Wahby, Thomas Awe +10
The physics underlying reset in bipolar resistive memory has been the subject of decades of controversy and has been identified as the primary barrier to resistive memory technolog…