84 citations · 234 across the 23 of their papers we have counts for
14 papers · 1 filter
Independence Properties of Generalized Submodular Information Measures
Himanshu Asnani, Jeff Bilmes, Rishabh Iyer
Recently a class of generalized information measures was defined on sets of items parametrized by submodular functions. In this paper, we propose and study various notions of indep…
Turbo Autoencoder: Deep learning based channel codes for point-to-point communication channels
Yihan Jiang, Hyeji Kim, Himanshu Asnani +3
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…
Estimators for Multivariate Information Measures in General Probability Spaces
Arman Rahimzamani, Himanshu Asnani, Pramod Viswanath +1
Information theoretic quantities play an important role in various settings in machine learning, including causality testing, structure inference in graphical models, time-series p…
Capacity of a POST Channel with and without Feedback
Haim H. Permuter, Himanshu Asnani, Tsachy Weissman
We consider finite state channels where the state of the channel is its previous output. We refer to these as POST (Previous Output is the STate) channels. We first focus on POST($…
Network Compression: Worst-Case Analysis
Himanshu Asnani, Ilan Shomorony, A. Salman Avestimehr +1
We study the problem of communicating a distributed correlated memoryless source over a memoryless network, from source nodes to destination nodes, under quadratic distortion const…
Worst-Case Source for Distributed Compression with Quadratic Distortion
Ilan Shomorony, A. Salman Avestimehr, Himanshu Asnani +1
We consider the k-encoder source coding problem with a quadratic distortion measure. We show that among all source distributions with a given covariance matrix K, the jointly Gauss…