2021.5.3 Neural papers

04-29-2021	Hessian Aware Quantization of Spiking Neural Networks by Hin Wai Lui et al
04-27-2021	SpikE: spike-based embeddings for multi-relational graph data by Dominik Dold et al
04-30-2021	Graph-Aware Evolutionary Algorithms for Influence Maximization by Kateryna Konotopska et al
04-27-2021	A Complementarity Analysis of the COCO Benchmark Problems and Artificially Generated Problems by Urban Škvorc et al
04-29-2021	Generating Instances with Performance Differences for More Than Just Two Algorithms by Jakob Bossek et al
04-30-2021	Tightening the Biological Constraints on Gradient-Based Predictive Coding by Nick Alonso et al
04-27-2021	Explaining in Style: Training a GAN to explain a classifier in StyleSpace by Oran Lang et al
04-27-2021	Entropy-Based Evolutionary Diversity Optimisation for the Traveling Salesperson Problem by Adel Nikfarjam et al
04-29-2021	Hardware-Friendly Synaptic Orders and Timescales in Liquid State Machines for Speech Classification by Vivek Saraswat et al
04-29-2021	A Novel Approximate Hamming Weight Computing for Spiking Neural Networks: an FPGA Friendly Architecture by Kaveh Akbarzadeh-Sherbaf et al
04-27-2021	A Dual Process Model for Optimizing Cross Entropy in Neural Networks by Stefan Jaeger
04-27-2021	Policy Manifold Search: Exploring the Manifold Hypothesis for Diversity-based Neuroevolution by Nemanja Rakicevic et al
04-27-2021	Breeding Diverse Packings for the Knapsack Problem by Means of Diversity-Tailored Evolutionary Algorithms by Jakob Bossek et al
04-30-2021	Black-box adversarial attacks using Evolution Strategies by Hao Qiu et al
04-30-2021	Using brain inspired principles to unsupervisedly learn good representations for visual pattern recognition by Luis Sa-Couto et al
04-28-2021	Neuromorphic Computing is Turing-Complete by Prasanna Date et al
04-27-2021	An optical neural network using less than 1 photon per multiplication by Tianyu Wang et al