02.17.19 Neural papers

02-12-2019	Neural network models and deep learning - a primer for biologists by Nikolaus Kriegeskorte et al
02-14-2019	Learning to Control Self-Assembling Morphologies: A Study of Generalization via Modularity by Deepak Pathak et al
02-13-2019	Some Interesting Features of Memristor CNN by Makoto Itoh
02-13-2019	Scaling Limits of Wide Neural Networks with Weight Sharing: Gaussian Process Behavior, Gradient Independence, and Neural Tangent Kernel Derivation by Greg Yang
02-12-2019	ACTRCE: Augmenting Experience via Teachers Advice For Multi-Goal Reinforcement Learning by Harris Chan et al
02-13-2019	Evolutionary Algorithms for the Chance-Constrained Knapsack Problem by Yue Xie et al
02-14-2019	Superposition of many models into one by Brian Cheung et al
02-13-2019	Enhanced Robot Speech Recognition Using Biomimetic Binaural Sound Source Localization by Jorge et al
02-15-2019	Deep Spiking Neural Network with Spike Count based Learning Rule by Jibin Wu et al
02-12-2019	Analysis of Baseline Evolutionary Algorithms for the Packing While Travelling Problem by Vahid Roostapour et al
02-12-2019	Guiding Neuroevolution with Structural Objectives by Kai Olav Ellefsen et al
02-14-2019	Engineered Self-Organization for Resilient Robot Self-Assembly with Minimal Surprise by Tanja Katharina Kaiser et al
02-12-2019	A characterisation of S-box fitness landscapes in cryptography by Domagoj Jakobovic et al