Creating visually pleasing stylized ink paintings from 3D models is a
ch...
In the absence of an authoritative statement about a rumor, people may e...
We study a Federated Reinforcement Learning (FedRL) problem in which n
a...
Context: Detecting arrays are mathematical structures aimed at fault
ide...
We propose Meta-Regularization, a novel approach for the adaptive
choice...
Locating arrays (LAs) can be used to detect and identify interaction fau...
Up until recent two years, inspired by the big amount of research about
...
Stochastic variance-reduced gradient (SVRG) is a classical optimization
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In light of ever-increasing scale and sophistication of modern DDoS atta...
This paper introduces the notion of Constrained Locating Arrays (CLAs),
...