02.10.19 Evolutionary papers

02-08-2019	Can Genetic Programming Do Manifold Learning Too? by Andrew Lensen et al
02-06-2019	Widely Linear Kernels for Complex-Valued Kernel Activation Functions by Simone Scardapane et al
02-09-2019	Generative Moment Matching Network-based Random Modulation Post-filter for DNN-based Singing Voice Synthesis and Neural Double-tracking by Hiroki Tamaru et al
02-08-2019	A simple and efficient architecture for trainable activation functions by Andrea Apicella et al
02-06-2019	Investigating Recurrent Neural Network Memory Structures using Neuro-Evolution by Alexander Ororbia et al
02-06-2019	Toward A Neuro-inspired Creative Decoder by Payel Das et al
02-07-2019	Self-Adjusting Mutation Rates with Provably Optimal Success Rules by Benjamin Doerr et al
02-11-2019	Global Collaboration through Local Interaction in Competitive Learning by Abbas Siddiqui et al
02-08-2019	Understanding the One-Pixel Attack: Propagation Maps and Locality Analysis by Danilo Vasconcellos Vargas et al
02-08-2019	Fourier Neural Networks: A Comparative Study by Abylay Zhumekenov et al
02-11-2019	Interaction-Transformation Evolutionary Algorithm for Symbolic Regression by Fabricio Olivetti de Franca et al
02-09-2019	Improving NeuroEvolution Efficiency by Surrogate Model-based Optimization with Phenotypic Distance Kernels by Jörg Stork et al
02-08-2019	Architecture Compression by Anubhav Ashok
02-08-2019	Stimulating STDP to Exploit Locality for Lifelong Learning without Catastrophic Forgetting by Jason M. Allred et al