2021.8.9 Neural papers

08-03-2021	Task Agnostic Metrics for Reservoir Computing by Jake Love et al
08-03-2021	Predicting Calibration Parameter Values for Constitutive Models using Genetic Programming by Gabriel Kronberger et al
08-04-2021	PDE-GCN: Novel Architectures for Graph Neural Networks Motivated by Partial Differential Equations by Moshe Eliasof et al
08-03-2021	Online Training of Spiking Recurrent Neural Networks with Phase-Change Memory Synapses by Yigit Demirag et al
08-05-2021	EENLP: Cross-lingual Eastern European NLP Index by Alexey Tikhonov et al
08-05-2021	A Method for Medical Data Analysis Using the LogNNet for Clinical Decision Support Systems and Edge Computing in Healthcare by Andrei Velichko
08-04-2021	A Pragmatic Look at Deep Imitation Learning by Kai Arulkumaran et al
08-04-2021	DFSynthesizer: Dataflow-based Synthesis of Spiking Neural Networks to Neuromorphic Hardware by Shihao Song et al
08-04-2021	Generic Neural Architecture Search via Regression by Yuhong Li et al
08-04-2021	Growing an architecture for a neural network by Sergey Khashin et al
08-03-2021	Composing Recurrent Spiking Neural Networks using Locally-Recurrent Motifs and Risk-Mitigating Architectural Optimization by Wenrui Zhang et al
08-06-2021	Substitution of the Fittest: A Novel Approach for Mitigating Disengagement in Coevolutionary Genetic Algorithms by Hugo Alcaraz-Herrera et al
08-03-2021	Classification of Discrete Dynamical Systems Based on Transients by Barbora Hudcová et al