3 papers
cs.LG2018
Generative adversarial interpolative autoencoding: adversarial training on latent space interpolations encourage convex latent distributions
Tim Sainburg, Marvin Thielk, Brad Theilman +2
We present a neural network architecture based upon the Autoencoder (AE) and Generative Adversarial Network (GAN) that promotes a convex latent distribution by training adversarial…
stat.ML2016
Biologically Inspired Radio Signal Feature Extraction with Sparse Denoising Autoencoders
Benjamin Migliori, Riley Zeller-Townson, Daniel Grady +1
Automatic modulation classification (AMC) is an important task for modern communication systems; however, it is a challenging problem when signal features and precise models for ge…
physics.bio-ph2012
Photoactivation of neurons by laser-generated local heating
Benjamin Migliori, Massimiliano Di Ventra, William Kristan
We present a method for achieving temporally and spatially precise photoactivation of neurons without the need for genetic expression of photosensitive proteins. Our method depends…