1 citations · 2 across the 3 of their papers we have counts for
4 papers
One-bit Compressed Sensing using Generative Models
Swatantra Kafle, Geethu Joseph, Pramod K. Varshney
This paper addresses the classical problem of one-bit compressed sensing using a deep learning-based reconstruction algorithm that leverages a trained generative model to enhance t…
Generalization of Deep Reinforcement Learning for Jammer-Resilient Frequency and Power Allocation
Swatantra Kafle, Jithin Jagannath, Zackary Kane +3
We tackle the problem of joint frequency and power allocation while emphasizing the generalization capability of a deep reinforcement learning model. Most of the existing methods s…
Noisy One-bit Compressed Sensing with Side-Information
Swatantra Kafle, Thakshila Wimalajeewa, and Pramod K. Varshney
We consider the problem of sparse signal reconstruction from noisy one-bit compressed measurements when the receiver has access to side-information (SI). We assume that compressed…
Distributed Stochastic Non-Convex Optimization: Momentum-Based Variance Reduction
Prashant Khanduri, Pranay Sharma, Swatantra Kafle +3
In this work, we propose a distributed algorithm for stochastic non-convex optimization. We consider a worker-server architecture where a set of worker nodes (WNs) in collabora…