Sreeram Kannan

Learning Temporal Dependence from Time-Series Data with Latent Variables

2016

We consider the setting where a collection of time series, modeled as random processes, evolve in a causal manner, and one is interested in learning the graph governing the relationships of these processes. A special …

Turbo Autoencoder: Deep learning based channel codes for point-to-point communication channels

2019 · arXiv (Cornell University)

Designing codes that combat the noise in a communication medium has remained a significant area of research in information theory as well as wireless communications. Asymptotically optimal channel codes have been developed by mathematicians for …