2 citations · 2 across the 8 of their papers we have counts for
13 papers
Toward Physically Realizable Quantum Neural Networks
Mohsen Heidari, Ananth Grama, Wojciech Szpankowski
There has been significant recent interest in quantum neural networks (QNNs), along with their applications in diverse domains. Current solutions for QNNs pose significant challeng…
Upper Bounds on the Feedback Error Exponent of Channels With States and Memory
Mohsen Heidari, Achilleas Anastasopoulos, S. Sandeep Pradhan
As a class of state-dependent channels, Markov channels have been long studied in information theory for characterizing the feedback capacity and error exponent. This paper studies…
A Theoretical Framework for Learning from Quantum Data
Mohsen Heidari, Arun Padakandla, Wojciech Szpankowski
Over decades traditional information theory of source and channel coding advances toward learning and effective extraction of information from data. We propose to go one step furth…
On Agnostic PAC Learning using -polynomial Regression and Fourier-based Algorithms
Mohsen Heidari, Wojciech Szpankowski
We develop a framework using Hilbert spaces as a proxy to analyze PAC learning problems with structural properties. We consider a joint Hilbert space incorporating the relation bet…
Structured Mappings and Conferencing Common Information for Multiple-access Channels
Mohsen Heidari, S. Sandeep Pradhan
In this work, we study two problems: three-user Multiple-Access Channel (MAC) with correlated sources, and MAC with Feedback (MAC-FB) with independent messages. For the first probl…
Boolean Functions with Biased Inputs: Approximation and Noise Sensitivity
Mohsen Heidari, S. Sandeep Pradhan, Ramji Venkataramanan
This paper considers the problem of approximating a Boolean function using another Boolean function from a specified class. Two classes of approximating functions are considere…