2020.4.6 Neural papers

03-31-2020	Interactive Evolution and Exploration Within Latent Level-Design Space of Generative Adversarial Networks by Jacob Schrum et al
04-01-2020	NBDT: Neural-Backed Decision Trees by Alvin Wan et al
03-31-2020	A macro agent and its actions by Larissa Albantakis et al
04-01-2020	Fractional Deep Neural Network via Constrained Optimization by Harbir Antil et al
04-02-2020	Neuronal Sequence Models for Bayesian Online Inference by Sascha Frölich et al
04-02-2020	Does Comma Selection Help To Cope With Local Optima by Benjamin Doerr
04-01-2020	Evolution of Scikit-Learn Pipelines with Dynamic Structured Grammatical Evolution by Filipe Assunção et al
04-03-2020	Neural Architecture Generator Optimization by Binxin Ru et al
04-03-2020	Benchmarking Deep Spiking Neural Networks on Neuromorphic Hardware by Christoph Ostrau et al
04-02-2020	Under the Hood of Neural Networks: Characterizing Learned Representations by Functional Neuron Populations and Network Ablations by Richard Meyes et al
04-01-2020	Self-adaptation in non-Elitist Evolutionary Algorithms on Discrete Problems with Unknown Structure by Brendan Case et al
04-01-2020	Particle Swarm Optimization: Stability Analysis using N-Informers under Arbitrary Coefficient Distributions by Christopher W Cleghorn et al
04-01-2020	Incremental Evolution and Development of Deep Artificial Neural Networks by Filipe Assunção et al
04-03-2020	The data-driven physical-based equations discovery using evolutionary approach by Alexander Hvatov et al
04-03-2020	Generating Similarity Map in COVID-19 Transmission Dynamics with Topological Autoencoder by Pitoyo Hartono
04-02-2020	Predicting the outputs of finite networks trained with noisy gradients by Gadi Naveh et al
04-02-2020	Device-aware inference operations in SONOS nonvolatile memory arrays by Christopher H. Bennett et al
04-02-2020	Projected Neural Network for a Class of Sparse Regression with Cardinality Penalty by Wenjing Li et al