44 citations · 52 across the 7 of their papers we have counts for
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eess.SP2020★ 5 cited
DeepWiPHY: Deep Learning-based Receiver Design and Dataset for IEEE 802.11ax Systems
Yi Zhang, Akash Doshi, Rob Liston +4
In this work, we develop DeepWiPHY, a deep learning-based architecture to replace the channel estimation, common phase error (CPE) correction, sampling rate offset (SRO) correction…
eess.SP2020
High Dimensional Channel Estimation Using Deep Generative Networks
Eren Balevi, Akash Doshi, Ajil Jalal +2
This paper presents a novel compressed sensing (CS) approach to high dimensional wireless channel estimation by optimizing the input to a deep generative network. Channel estimatio…
cs.LG2020
Deep Stock Predictions
Akash Doshi, Alexander Issa, Puneet Sachdeva +2
Forecasting stock prices can be interpreted as a time series prediction problem, for which Long Short Term Memory (LSTM) neural networks are often used due to their architecture sp…