2020.02.10 Neural papers

02-07-2020	Ill-Posedness and Optimization Geometry for Nonlinear Neural Network Training by Thomas O'Leary-Roseberry et al
02-06-2020	The Costs and Benefits of Goal-Directed Attention in Deep Convolutional Neural Networks by Xiaoliang Luo et al
02-04-2020	Multi-Objective Optimization for Size and Resilience of Spiking Neural Networks by Mihaela Dimovska et al
02-06-2020	A Neural Approach to Ordinal Regression for the Preventive Assessment of Developmental Dyslexia by F. J. Martinez-Murcia et al
02-05-2020	Convergence analysis of particle swarm optimization using stochastic Lyapunov functions and quantifier elimination by Maximilian Gerwien et al
02-07-2020	Universal Equivariant Multilayer Perceptrons by Siamak Ravanbakhsh
02-07-2020	Adaptive control for hindlimb locomotion in a simulated mouse through temporal cerebellar learning by T. P. Jensen et al
02-05-2020	Exploring Maximum Entropy Distributions with Evolutionary Algorithms by Raul Rojas
02-05-2020	ϵϵ-shotgun: ϵϵ-greedy Batch Bayesian Optimisation by George De Ath et al
02-07-2020	Dynamic Multi-objective Optimization of the Travelling Thief Problem by Daniel Herring et al
02-06-2020	From Data to Actions in Intelligent Transportation Systems: a Prescription of Functional Requirements for Model Actionability by Ibai Lana et al
02-06-2020	Enhancement of shock-capturing methods via machine learning by Ben Stevens et al
02-07-2020	Audio-Visual-Olfactory Resource Allocation for Tri-modal Virtual Environments by Efstratios Doukakis et al
02-07-2020	Activation Density driven Energy-Efficient Pruning in Training by Timothy Foldy-Porto et al
02-07-2020	Differential Evolution with Reversible Linear Transformations by Jakub M. Tomczak et al