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4 papers · 1 filter
Metaheuristics "In the Large"
Jerry Swan, Steven Adriaensen, Alexander E. I. Brownlee +13
Following decades of sustained improvement, metaheuristics are one of the great success stories of optimization research. However, in order for research in metaheuristics to avoid…
Multiscale matrix pencils for separable reconstruction problems
Annie Cuyt, Wen-shin Lee
The nonlinear inverse problem of exponential data fitting is separable since the fitting function is a linear combination of parameterized exponential functions, thus allowing to s…
Comments on Sejnowski's "The unreasonable effectiveness of deep learning in artificial intelligence" [arXiv:2002.04806]
Leslie S. Smith
Terry Sejnowski's 2020 paper [arXiv:2002.04806] is entitled "The unreasonable effectiveness of deep learning in artificial intelligence". However, the paper doesn't attempt to answ…
Convolutional neural net face recognition works in non-human-like ways
P. J. B. Hancock, R. S. Somai, V. R. Mileva
Convolutional neural networks (CNNs) give state of the art performance in many pattern recognition problems but can be fooled by carefully crafted patterns of noise. We report that…