2019.11.17 Neural papers

11-14-2019	LGN-CNN: a biologically inspired CNN architecture by Federico Bertoni et al
11-14-2019	Performance evaluation of deep neural networks for forecasting time-series with multiple structural breaks and high volatility by Shikhar Jain et al
11-14-2019	ASCAI: Adaptive Sampling for acquiring Compact AI by Mojan Javaheripi et al
11-14-2019	Auto-encoding a Knowledge Graph Using a Deep Belief Network: A Random Fields Perspective by Robert A. Murphy
11-15-2019	CatGAN: Category-aware Generative Adversarial Networks with Hierarchical Evolutionary Learning for Category Text Generation by Zhiyue Liu et al
11-15-2019	Safe Interactive Model-Based Learning by Marco Gallieri et al
11-13-2019	Self-labelling via simultaneous clustering and representation learning by Yuki Markus Asano et al
11-13-2019	Radio Resource Allocation in 5G New Radio: A Neural Networks Based Approach) by Madyan Alsenwi et al
11-12-2019	Learning Non-Parametric Invariances from Data with Permanent Random Connectomes by Dipan K. Pal et al
11-14-2019	Radically Compositional Cognitive Concepts by Toby B. St Clere Smithe
11-12-2019	Generative adversarial networks (GAN) based efficient sampling of chemical space for inverse design of inorganic materials by Yabo Dan et al
11-13-2019	Real-time ultra-low power ECG anomaly detection using an event-driven neuromorphic processor by Felix Christian Bauer et al
11-13-2019	Adversarial Margin Maximization Networks by Ziang Yan et al