Abstract. We present a novel computational framework for characterizing signal in brain images via nonlinear pairing of critical values of the signal. Among the astronomically larg...
Moo K. Chung, Vikas Singh, Peter T. Kim, Kim M....
Design and validation of mixed-signal integrated systems require evel model abstractions. Generalized Volterra series based models have been successfully applied for analog and RF...
The increasing complexity of today's mixed-signal integrated circuits necessitates both top-down and bottom-up system-level verification. Time-domain state-space modeling and...
Xin Li, Yang Xu, Peng Li, Padmini Gopalakrishnan, ...
The promise of unsupervised learning methods lies in their potential to use vast amounts of unlabeled data to learn complex, highly nonlinear models with millions of free paramete...
Abstract. Goldreich (ECCC 2000) proposed a candidate one-way function construction which is parameterized by the choice of a small predicate (over d = O(1) variables) and of a bipa...
James Cook, Omid Etesami, Rachel Miller, Luca Trev...