Supervised learning deals with the inference of a distribution over an output or label space $\CY$ conditioned on points in an observation space $\CX$, given a training dataset $D$...
Abstract— Process variations make at-speed testing significantly more difficult. They cause subtle delay changes that are distributed rather than the localized nature of a trad...
Vladimir Zolotov, Jinjun Xiong, Hanif Fatemi, Chan...
—When manufacturing nano-devices, defects are a certainty and reliability becomes a critical issue. Until now, the most pervasive methods used to address reliability, involve inj...
In this paper, we present a reduced order inodeling methodology, based on the utilization of optimal non-uniform grids generated by Gaussian spectral rules, for the direct passive...
Traianos Yioultsis, Anne Woo, Andreas C. Cangellar...
Abstract—Interconnects (wires, buffers, clock distribution networks, multiplexers and busses) consume a significant fraction of total circuit power. In this work, we demonstrat...