2020.7.13 Neural papers

 

07-07-2020

Strong Generalization and Efficiency in Neural Programs
by Yujia Li et al

07-07-2020

Benchmarking in Optimization: Best Practice and Open Issues
by Thomas Bartz-Beielstein et al

07-07-2020

GOLD-NAS: Gradual, One-Level, Differentiable
by Kaifeng Bi et al

07-09-2020

Improving Adversarial Robustness by Enforcing Local and Global Compactness
by Anh Bui et al

07-09-2020

EVO-RL: Evolutionary-Driven Reinforcement Learning
by Ahmed Hallawa et al

07-08-2020

BS4NN: Binarized Spiking Neural Networks with Temporal Coding and Learning
by Saeed Reza Kheradpisheh et al

07-09-2020

A Neuro-inspired Theory of Joint Human-Swarm Interaction
by Jonas D. Hasbach et al

07-07-2020

Resonator networks for factoring distributed representations of data structures
by E. Paxon Frady et al

07-09-2020

Biological credit assignment through dynamic inversion of feedforward networks
by William F. Podlaski et al

07-08-2020

AutoLR: An Evolutionary Approach to Learning Rate Policies
by Pedro Carvalho et al

07-07-2020

An Integer Programming Approach to Deep Neural Networks with Binary Activation Functions
by Bubacarr Bah et al

07-09-2020

Long Short-Term Memory Spiking Networks and Their Applications
by Ali Lotfi Rezaabad et al

07-09-2020

Artificial Neural Network Approach for the Identification of Clove Buds Origin Based on Metabolites Composition
by Rustam et al

07-08-2020

IOHanalyzer: Performance Analysis for Iterative Optimization Heuristic
by Hao Wang et al

07-09-2020

A Study on Encodings for Neural Architecture Search
by Colin White et al

07-07-2020

Multivariate Time Series Classification Using Spiking Neural Networks
by Haowen Fang et al

07-09-2020

Identifying efficient controls of complex interaction networks using genetic algorithms
by Victor-Bogdan Popescu et al

07-07-2020

Artificial Life in Game Mods for Intuitive Evolution Education
by Anya E. Vostinar et al

07-07-2020

An Entropy Equation for Energy
by Kieran Greer

07-08-2020

Learning Efficient Search Approximation in Mixed Integer Branch and Bound
by Kaan Yilmaz et al

07-10-2020

Multi-Emitter MAP-Elites: Improving quality, diversity and convergence speed with heterogeneous sets of emitters
by Antoine Cully

07-08-2020

Solving Allen-Cahn and Cahn-Hilliard Equations using the Adaptive Physics Informed Neural Networks
by Colby L. Wight et al

07-07-2020

srMO-BO-3GP: A sequential regularized multi-objective constrained Bayesian optimization for design applications
by Anh Tran et al

07-07-2020

Fast Perturbative Algorithm Configurators
by George T. Hall et al

07-07-2020

Multi-Tones Phase Coding (MTPC) of Interaural Time Difference by Spiking Neural Network
by Zihan Pan et al

07-07-2020

Physics-Based Deep Neural Networks for Beam Dynamics in Charged Particle Accelerators
by Andrei Ivanov et al

07-09-2020

EOS: a Parallel, Self-Adaptive, Multi-Population Evolutionary Algorithm for Constrained Global Optimization
by Lorenzo Federici et al

 
Craig Smith