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Generative Adversarial Network to Learn Valid Distributions of Robot Configurations for Inverse Kinematics and Constrained Motion Planning
TeguhSantosoLembono, EmmanuelPignat, JuliusJankowski....
Published date-11/11/2020
MotionPlanning
In high dimensional robotic system, the manifold of the valid configuration space often has complex shape, especially under constraints such as end-effector orientation, static stability, and obstacles. We propose a …
A Survey and Implementation of Performance Metrics for Self-Organized Maps
FlorentForest, MustaphaLebbah, HananeAzzag....
Published date-11/11/2020
Clustering, ModelSelection, Self-OrganizedClustering
Self-Organizing Map algorithms have been used for almost 40 years across various application domains such as biology, geology, healthcare, industry and humanities as an interpretable tool to explore, cluster and …
Multilingual Irony Detection with Dependency Syntax and Neural Models
AlessandraTeresaCignarella, ValerioBasile, ManuelaSanguinetti....
Published date-11/11/2020
WordEmbeddings
This paper presents an in-depth investigation of the effectiveness of dependency-based syntactic features on the irony detection task in a multilingual perspective (English, Spanish, French and Italian). It focuses on …
pymgrid: An Open-Source Python Microgrid Simulator for Applied Artificial Intelligence Research
GonzagueHenri, TanguyLevent, AvishaiHalev....
Published date-11/11/2020
Microgrids, self contained electrical grids that are capable of disconnecting from the main grid, hold potential in both tackling climate change mitigation via reducing CO2 emissions and adaptation by increasing …
Open-Source Morphology for Endangered Mordvinic Languages
JackRueter, MikaHämäläinen, NikoPartanen....
Published date-11/11/2020
This document describes shared development of finite-state description of two closely related but endangered minority languages, Erzya and Moksha. It touches upon morpholexical unity and diversity of the two languages …
Solving high-dimensional parameter inference: marginal posterior densities & Moment Networks
NiallJeffrey, BenjaminD.Wandelt....
Published date-11/11/2020
DensityEstimation, TimeSeries
High-dimensional probability density estimation for inference suffers from the "curse of dimensionality". For many physical inference problems, the full posterior distribution is unwieldy and seldom used in practice. Instead, we …