2021.2.22 Neural papers

02-18-2021	Combinatorial optimization and reasoning with graph neural networks by Quentin Cappart et al
02-17-2021	On the Post-hoc Explainability of Deep Echo State Networks for Time Series Forecasting, Image and Video Classification by Alejandro Barredo Arrieta et al
02-17-2021	Evolving GAN Formulations for Higher Quality Image Synthesis by Santiago Gonzalez et al
02-18-2021	Causal Inference Q-Network: Toward Resilient Reinforcement Learning by Chao-Han Huck Yang et al
02-16-2021	The Yin-Yang dataset by Laura Kriener et al
02-19-2021	Implicit Regularization in Tensor Factorization by Noam Razin et al
02-17-2021	Chance-Constrained Active Inference by Thijs van de Laar et al
02-19-2021	Training Neural Networks is ER-complete by Mikkel Abrahamsen et al
02-16-2021	A Federated Data-Driven Evolutionary Algorithm by Jinjin Xu et al
02-18-2021	Modeling epigenetic evolutionary algorithms: An approach based on the epigenetic regulation process by Alvarez Lifeth
02-19-2021	Neural Kalman Filtering by Beren Millidge et al
02-16-2021	Finding the Gap: Neuromorphic Motion Vision in Cluttered Environments by Thorben Schoepe et al
02-17-2021	Automated Curriculum Learning for Embodied Agents: A Neuroevolutionary Approach by Nicola Milano et al
02-16-2021	Neuroevolution in Deep Learning: The Role of Neutrality by Edgar Galván