2019.11.03 Neural papers

10-31-2019	Sharp Bounds for Genetic Drift in EDAs by Benjamin Doerr et al
11-01-2019	Short and Wide Network Paths by Lavanya Marla et al
10-31-2019	An Automatic Design Framework of Swarm Pattern Formation based on Multi-objective Genetic Programming by Zhun Fan et al
10-31-2019	Deep Learning for 2D and 3D Rotatable Data: An Overview of Methods by Luca Della Libera et al
10-31-2019	A Dynamically Controlled Recurrent Neural Network for Modeling Dynamical Systems by Yiwei Fu et al
10-30-2019	Multivariate Uncertainty in Deep Learning by Rebecca L. Russell et al
10-31-2019	Device-Circuit-Architecture Co-Exploration for Computing-in-Memory Neural Accelerators by Weiwen Jiang et al
10-31-2019	On Neural Architecture Search for Resource-Constrained Hardware Platforms by Qing Lu et al
10-29-2019	Semantic Object Accuracy for Generative Text-to-Image Synthesis by Tobias Hinz et al
10-30-2019	Machine learning for design optimization of storage ring nonlinear dynamics by Faya Wang et al
11-01-2019	Variations of Genetic Algorithms by Alison Jenkins et al
10-30-2019	Towards Scalable, Efficient and Accurate Deep Spiking Neural Networks with Backward Residual Connections, Stochastic Softmax and Hybridization by Priyadarshini Panda et al