2022.3.28 Neural papers

03-22-2022	MetaMorph: Learning Universal Controllers with Transformers by Agrim Gupta et al
03-23-2022	Accelerating Bayesian Optimization for Biological Sequence Design with Denoising Autoencoders by Samuel Stanton et al
03-22-2022	Insights From the NeurIPS 2021 NetHack Challenge by Eric Hambro et al
03-22-2022	Clustering units in neural networks: upstream vs downstream information by Richard D. Lange et al
03-22-2022	Practical tradeoffs between memory, compute, and performance in learned optimizers by Luke Metz et al
03-23-2022	Competency Assessment for Autonomous Agents using Deep Generative Models by Aastha Acharya et al
03-25-2022	Unsupervised Learning of Temporal Abstractions with Slot-based Transformers by Anand Gopalakrishnan et al
03-23-2022	Possibility Before Utility: Learning And Using Hierarchical Affordances by Robby Costales et al
03-24-2022	Explainable Artificial Intelligence for Exhaust Gas Temperature of Turbofan Engines by Marios Kefalas et al
03-24-2022	Are Evolutionary Algorithms Safe Optimizers? by Youngmin Kim et al
03-24-2022	Direct evaluation of progression or regression of disease burden in brain metastatic disease with Deep Neuroevolution by Joseph Stember et al
03-25-2022	Polarization Multiplexed Diffractive Computing: All-Optical Implementation of a Group of Linear Transformations Through a Polarization-Encoded Diffractive Network by Jingxi Li et al
03-22-2022	On Neural Network Equivalence Checking using SMT Solvers by Charis Eleftheriadis et al
03-24-2022	Dealing with Sparse Rewards Using Graph Neural Networks by Matvey Gerasyov et al
03-22-2022	Explainable Landscape Analysis in Automated Algorithm Performance Prediction by Risto Trajanov et al
03-23-2022	Spiking Neural Streaming Binary Arithmetic by James B. Aimone et al
03-24-2022	Learning Spatiotemporal Chaos Using Next-Generation Reservoir Computing by Wendson A. S. Barbosa et al
03-24-2022	Intelligent Systematic Investment Agent: an ensemble of deep learning and evolutionary strategies by Prasang Gupta et al
03-22-2022	Learning by non-interfering feedback chemical signaling in physical networks by Vidyesh Rao Anisetti et al
03-22-2022	A Unified Substrate for Body-Brain Co-evolution by Sidney Pontes-Filho et al
03-22-2022	FxP-QNet: A Post-Training Quantizer for the Design of Mixed Low-Precision DNNs with Dynamic Fixed-Point Representation by Ahmad Shawahna et al
03-24-2022	Automated Algorithm Selection: from Feature-Based to Feature-Free Approaches by Mohamad Alissa et al
03-22-2022	The biosphere computes evolution by autoencoding interacting organisms into species and decoding species into ecosystems by Irun R. Cohen et al
03-24-2022	Interpretability of Neural Network With Physiological Mechanisms by Anna Zou et al
03-25-2022	Component-wise Analysis of Automatically Designed Multiobjective Algorithms on Constrained Problems by Yuri Lavinas et al
03-22-2022	Constrained Parameter Inference as a Principle for Learning by Nasir Ahmad et al
03-25-2022	EnHDC: Ensemble Learning for Brain-Inspired Hyperdimensional Computing by Ruixuan Wang et al
03-22-2022	Machine Learning Testing in an ADAS Case Study Using Simulation-Integrated Bio-Inspired Search-Based Testing by Mahshid Helali Moghadam et al
03-23-2022	Organic log-domain integrator synapse by Mohammad Javad Mirshojaeian Hosseini et al
03-25-2022	Rank-based Non-dominated Sorting by Bogdan Burlacu
03-22-2022	Running Time Analysis of the Non-dominated Sorting Genetic Algorithm II (NSGA-II) using Binary or Stochastic Tournament Selection by Chao Bian et al
03-24-2022	Multi-modal multi-objective model-based genetic programming to find multiple diverse high-quality models by E. M. C. Sijben et al
03-23-2022	Efficient Hardware Acceleration of Sparsely Active Convolutional Spiking Neural Networks by Jan Sommer et al
03-22-2022	A Search-Based Framework for Automatic Generation of Testing Environments for Cyber-Physical Systems by Dmytro Humeniuk et al