32 citations · 149 across the 16 of their papers we have counts for
17 papers
Open Problems within Nonextensive Statistical Mechanics
Kenric P. Nelson
Nonextensive Statistical Mechanics has developed into an important framework for modeling the thermodynamics of complex systems and the information of complex signals. Upon the 80t…
Opinion Dynamics in Financial Markets via Random Networks
Mateus F. B. Granha, André L. M. Vilela, Chao Wang +2
We investigate the financial market dynamics by introducing a heterogeneous agent-based opinion formation model. In this work, we organize the individuals in a financial market by…
Independent Approximates enable closed-form estimation of heavy-tailed distributions
Kenric P. Nelson
A new statistical estimation method, Independent Approximates (IAs), is defined and proven to enable closed-form estimation of the parameters of heavy-tailed distributions. Given i…
Use of Student's t-Distribution for the Latent Layer in a Coupled Variational Autoencoder
Kevin R. Chen, Daniel Svoboda, Kenric P. Nelson
A Coupled Variational Autoencoder, which incorporates both a generalized loss function and latent layer distribution, shows improvement in the accuracy and robustness of generated…
Applying the Decisiveness and Robustness Metrics to Convolutional Neural Networks
Christopher A. George, Eduardo A. Barrera, Kenric P. Nelson
We review three recently-proposed classifier quality metrics and consider their suitability for large-scale classification challenges such as applying convolutional neural networks…
Coupled VAE: Improved Accuracy and Robustness of a Variational Autoencoder
Shichen Cao, Jingjing Li, Kenric P. Nelson +1
We present a coupled Variational Auto-Encoder (VAE) method that improves the accuracy and robustness of the probabilistic inferences on represented data. The new method models the…