2021.9.6 Neural papers

08-31-2021	Spike time displacement based error backpropagation in convolutional spiking neural networks by Maryam Mirsadeghi et al
09-01-2021	Variational Quantum Reinforcement Learning via Evolutionary Optimization by Samuel Yen-Chi Chen et al
09-03-2021	Topographic VAEs learn Equivariant Capsules by T. Anderson Keller et al
09-01-2021	FaVoA: Face-Voice Association Favours Ambiguous Speaker Detection by Hugo Carneiro et al
09-01-2021	Exploring deep learning methods for recognizing rare diseases and their clinical manifestations from texts by Isabel Segura-Bedmar et al
09-01-2021	Complexity Measures for Multi-objective Symbolic Regression by Michael Kommenda et al
09-03-2021	Dive into Layers: Neural Network Capacity Bounding using Algebraic Geometry by Ji Yang et al
09-01-2021	Active Inference and Epistemic Value in Graphical Models by Thijs van de Laar et al
09-01-2021	Mean absorption estimation from room impulse responses using virtually supervised learning by Cédric Foy et al
08-31-2021	Position-based Hash Embeddings For Scaling Graph Neural Networks by Maria Kalantzi et al
09-03-2021	Impact of GPU uncertainty on the training of predictive deep neural networks by Maciej Pietrowski et al