2021.8.2 Neural papers

02-03-2021	Embodied Intelligence via Learning and Evolution by Agrim Gupta et al
02-02-2021	Machine learning for improving performance in an evolutionary algorithm for minimum path with uncertain costs given by massively simulated scenarios by Ricardo Di Pasquale et al
02-04-2021	Regenerating Soft Robots through Neural Cellular Automata by Kazuya Horibe et al
02-02-2021	Generating images from caption and vice versa via CLIP-Guided Generative Latent Space Search by Federico A. Galatolo et al
02-04-2021	Controlling Hallucinations at Word Level in Data-to-Text Generation by Clément Rebuffel et al
02-02-2021	Mining Feature Relationships in Data by Andrew Lensen
02-03-2021	The Enigma of Complexity by Jon McCormack et al
02-02-2021	Fast Exploration of Weight Sharing Opportunities for CNN Compression by Etienne Dupuis et al
02-03-2021	A Bayesian Neural Network based on Dropout Regulation by Claire Theobald et al
02-03-2021	On the Approximation Power of Two-Layer Networks of Random ReLUs by Daniel Hsu et al
02-05-2021	Sparse Reward Exploration via Novelty Search and Emitters by Giuseppe Paolo et al
02-04-2021	Evolutionary Multitask Optimization: a Methodological Overview, Challenges and Future Research Directions by Eneko Osaba et al
02-02-2021	Organization of a Latent Space structure in VAE/GAN trained by navigation data by Hiroki Kojima et al
02-02-2021	Predicting the Time Until a Vehicle Changes the Lane Using LSTM-based Recurrent Neural Networks by Florian Wirthmüller et al
02-05-2021	Multi-Sample Online Learning for Spiking Neural Networks based on Generalized Expectation Maximization by Hyeryung Jang et al
02-02-2021	Depth separation beyond radial functions by Luca Venturi et al
02-02-2021	Optimization meets Big Data: A survey by Ricardo Di Pasquale et al
02-02-2021	Bit Error Tolerance Metrics for Binarized Neural Networks by Sebastian Buschjäger et al
02-02-2021	Stronger Separation of Analog Neuron Hierarchy by Deterministic Context-Free Languages by Jiří Šíma