2020.02.24 Neural papers

 

02-20-2020

Uncovering Coresets for Classification With Multi-Objective Evolutionary Algorithms
by Pietro Barbiero et al

02-19-2020

Optimal DG allocation and sizing in power system networks using swarm-based algorithms
by Kayode Adetunji et al

02-18-2020

A Computationally Efficient Neural Network Invariant to the Action of Symmetry Subgroups
by Piotr Kicki et al

02-20-2020

Bounding the expected run-time of nonconvex optimization with early stopping
by Thomas Flynn et al

02-21-2020

Recent Trends in the Use of Statistical Tests for Comparing Swarm and Evolutionary Computing Algorithms: Practical Guidelines and a Critical Review
by J. Carrasco et al

02-18-2020

A Spiking Neural Network Emulating the Structure of the Oculomotor System Requires No Learning to Control a Biomimetic Robotic Head
by Praveenram Balachandar et al

02-21-2020

Binary Probability Model for Learning Based Image Compression
by Théo Ladune et al

02-21-2020

Its Not What Machines Can Learn, Its What We Cannot Teach
by Gal Yehuda et al

02-19-2020

Dissecting Neural ODEs
by Stefano Massaroli et al

02-18-2020

Assessing the Memory Ability of Recurrent Neural Networks
by Cheng Zhang et al

02-20-2020

Bimodal Distribution Removal and Genetic Algorithm in Neural Network for Breast Cancer Diagnosis
by Ke Quan

02-20-2020

Differential Dynamic Programming Neural Optimizer
by Guan-Horng Liu et al

02-19-2020

Randomized Smoothing of All Shapes and Sizes
by Greg Yang et al

02-18-2020

Deep Learning of Movement Intent and Reaction Time for EEG-informed Adaptation of Rehabilitation Robots
by Neelesh Kumar et al

02-18-2020

Balancing reconstruction error and Kullback-Leibler divergence in Variational Autoencoders
by Andrea Asperti et al

02-20-2020

Real-Time Optimal Guidance and Control for Interplanetary Transfers Using Deep Networks
by Dario Izzo et al

02-20-2020

An Evolutionary Deep Learning Method for Short-term Wind Speed Prediction: A Case Study of the Lillgrund Offshore Wind Farm
by Mehdi Neshat et al

02-20-2020

sKPNSGA-II: Knee point based MOEA with self-adaptive angle for Mission Planning Problems
by Cristian Ramirez-Atencia et al

02-18-2020

Machine Learning for Motor Learning: EEG-based Continuous Assessment of Cognitive Engagement for Adaptive Rehabilitation Robots
by Neelesh Kumar et al

02-18-2020

Short-Term Traffic Flow Prediction Using Variational LSTM Networks
by Mehrdad Farahani et al

02-19-2020

A Fixed point view: A Model-Based Clustering Framework
by Jianhao Ding et al

02-19-2020

Hierarchical Quantized Autoencoders
by Will Williams et al

02-19-2020

Learn to Design the Heuristics for Vehicle Routing Problem
by Lei Gao et al

02-20-2020

A Convolutional Neural Network into graph space
by Maxime Martineau et al

02-19-2020

Efficient Trainable Front-Ends for Neural Speech Enhancement
by Jonah Casebeer et al

 
Craig Smith