58 citations · 86 across the 7 of their papers we have counts for
7 papers
Deep Switch Networks for Generating Discrete Data and Language
Payam Delgosha, Naveen Goela
Multilayer switch networks are proposed as artificial generators of high-dimensional discrete data (e.g., binary vectors, categorical data, natural language, network log files, and…
Channel Polarization through the Lens of Blackwell Measures
Naveen Goela, Maxim Raginsky
Each memoryless binary-input channel (BIC) can be uniquely described by its Blackwell measure, which is a probability distribution on the unit interval with mean . Con…
Polar Codes For Broadcast Channels
Naveen Goela, Emmanuel Abbe, Michael Gastpar
Polar codes are introduced for discrete memoryless broadcast channels. For -user deterministic broadcast channels, polarization is applied to map uniformly random message bits f…
Computation in Multicast Networks: Function Alignment and Converse Theorems
Changho Suh, Naveen Goela, Michael Gastpar
The classical problem in network coding theory considers communication over multicast networks. Multiple transmitters send independent messages to multiple receivers which decode t…
Approximate Feedback Capacity of the Gaussian Multicast Channel
Changho Suh, Naveen Goela, Michael Gastpar
We characterize the capacity region to within log{2(M-1)} bits/s/Hz for the M-transmitter K-receiver Gaussian multicast channel with feedback where each receiver wishes to decode e…
Reduced-Dimension Linear Transform Coding of Correlated Signals in Networks
Naveen Goela, Michael Gastpar
A model, called the linear transform network (LTN), is proposed to analyze the compression and estimation of correlated signals transmitted over directed acyclic graphs (DAGs). An…
A Compressed Sensing Wire-Tap Channel
Galen Reeves, Naveen Goela, Nebojsa Milosavljevic +1
A multiplicative Gaussian wire-tap channel inspired by compressed sensing is studied. Lower and upper bounds on the secrecy capacity are derived, and shown to be relatively tight i…