2019.07.28 Neural papers

07-24-2019	A Fine-Grained Spectral Perspective on Neural Networks by Greg Yang et al
07-23-2019	Metalearned Neural Memory by Tsendsuren Munkhdalai et al
07-25-2019	Semisupervised Adversarial Neural Networks for Cyber Security Transfer Learning by Casey Kneale et al
07-23-2019	Genetic Algorithms for Starshade Retargeting in Space-Based Telescopes by Ho Chit Siu et al
07-26-2019	Training products of expert capsules with mixing by dynamic routing by Michael Hauser
07-23-2019	BagNet: Berkeley Analog Generator with Layout Optimizer Boosted with Deep Neural Networks by Kourosh Hakhamaneshi et al
07-25-2019	Graph Neural Lasso for Dynamic Network Regression by Yixin Chen et al
07-23-2019	Searching the Landscape of Flux Vacua with Genetic Algorithms by Alex Cole et al
07-26-2019	Training capsules as a routing-weighted product of expert neurons by Michael Hauser
07-26-2019	Autoencoding with a Learning Classifier System: Initial Results by Larry Bull
07-24-2019	Zero-shifting Technique for Deep Neural Network Training on Resistive Cross-point Arrays by Hyungjun Kim et al
07-25-2019	Benchmarking HillVallEA for the GECCO 2019 Competition on Multimodal Optimization by S. C. Maree et al