1.7k citations · 2k across the 21 of their papers we have counts for
21 papers
Symmetrical SyncMap for Imbalanced General Chunking Problems
Heng Zhang, Danilo Vasconcellos Vargas
Recently, SyncMap pioneered an approach to learn complex structures from sequences as well as adapt to any changes in underlying structures. This is achieved by using only nonlinea…
A Survey on Reservoir Computing and its Interdisciplinary Applications Beyond Traditional Machine Learning
Heng Zhang, Danilo Vasconcellos Vargas
Reservoir computing (RC), first applied to temporal signal processing, is a recurrent neural network in which neurons are randomly connected. Once initialized, the connection stren…
Generating Oscillation Activity with Echo State Network to Mimic the Behavior of a Simple Central Pattern Generator
Tham Yik Foong, Danilo Vasconcellos Vargas
This paper presents a method for reproducing a simple central pattern generator (CPG) using a modified Echo State Network (ESN). Conventionally, the dynamical reservoir needs to be…
Dynamical Equations With Bottom-up Self-Organizing Properties Learn Accurate Dynamical Hierarchies Without Any Loss Function
Danilo Vasconcellos Vargas, Tham Yik Foong, Heng Zhang
Self-organization is ubiquitous in nature and mind. However, machine learning and theories of cognition still barely touch the subject. The hurdle is that general patterns are diff…
Evolving Robust Neural Architectures to Defend from Adversarial Attacks
Shashank Kotyan, Danilo Vasconcellos Vargas
Neural networks are prone to misclassify slightly modified input images. Recently, many defences have been proposed, but none have improved the robustness of neural networks consis…
Representation Quality Of Neural Networks Links To Adversarial Attacks and Defences
Shashank Kotyan, Danilo Vasconcellos Vargas, Moe Matsuki
Neural networks have been shown vulnerable to a variety of adversarial algorithms. A crucial step to understanding the rationale for this lack of robustness is to assess the potent…