2021.3.8 Neural papers

03-02-2021	The LOB Recreation Model: Predicting the Limit Order Book from TAQ History Using an Ordinary Differential Equation Recurrent Neural Network by Zijian Shi et al
03-04-2021	Self-supervised deep convolutional neural network for chest X-ray classification by Matej Gazda et al
03-05-2021	Meta Learning Black-Box Population-Based Optimizers by Hugo Siqueira Gomes et al
03-02-2021	Sparse Training Theory for Scalable and Efficient Agents by Decebal Constantin Mocanu et al
03-03-2021	EmoWrite: A Sentiment Analysis-Based Thought to Text Conversion by A. Shahid et al
03-02-2021	Graph-Time Convolutional Neural Networks by Elvin Isufi et al
03-03-2021	Reservoir Computing with Superconducting Electronics by Graham E. Rowlands et al
03-03-2021	Deep Recurrent Encoder: A scalable end-to-end network to model brain signals by Omar Chehab et al
03-02-2021	Controlling the Sense of Agency in Dyadic Robot Interaction: An Active Inference Approach by Nadine Wirkuttis et al
03-05-2021	Riskyishness and Pinocchios Search for a Comprehensive Taxonomy of Autonomous Entities by William P. Wagner et al
03-04-2021	Clusterability in Neural Networks by Daniel Filan et al
03-02-2021	Convergence Rate of the (1+1)-Evolution Strategy with Success-Based Step-Size Adaptation on Convex Quadratic Functions by Daiki Morinaga et al
03-02-2021	Surrogate-assisted cooperative signal optimization for large-scale traffic networks by Yongsheng Liang et al
03-02-2021	A continuous-state cellular automata algorithm for global optimization by Juan Carlos Seck-Tuoh-Mora et al