Improved Data Fusion for Multi-Sensor Tracking using a Reinforced Viterbi Algorithm. - Rajarshi Biswas; Akash S. Doshi; Akankshya Bhatta; Sibi Raj B. Pillai (NCC, 2019)

Compressed Representation of High Dimensional Channels using Deep Generative Networks. - Akash S. Doshi; Eren Balevi; Jeffrey G. Andrews (SPAWC, 2020)

Deep Stock Predictions. - Akash S. Doshi; Alexander Issa; Puneet Sachdeva; Sina Rafati; Somnath Rakshit (CoRR, 2020)

Massive MIMO Channel Estimation With an Untrained Deep Neural Network. - Eren Balevi; Akash S. Doshi; Jeffrey G. Andrews (IEEE Trans. Wirel. Commun., 2020)

DeepWiPHY: Synthetic and real-world IEEE 802.11ax OFDM symbol dataset. - Yi Zhang 021; Akash S. Doshi; Rob Liston; Wai-tian Tan; Xiaoqing Zhu; Jeffrey G. Andrews; Robert W. Heath Jr. (IEEE DataPort, 2020)

Distributed Proximal Policy Optimization for Contention-Based Spectrum Access. - Akash S. Doshi; Jeffrey G. Andrews (ACSCC, 2021)

Distributed Deep Reinforcement Learning for Adaptive Medium Access and Modulation in Shared Spectrum. - Akash S. Doshi; Jeffrey G. Andrews (CoRR, 2021)

High Dimensional Channel Estimation Using Deep Generative Networks. - Eren Balevi; Akash S. Doshi; Ajil Jalal; Alexandros G. Dimakis; Jeffrey G. Andrews (IEEE J. Sel. Areas Commun., 2021)

A Deep Reinforcement Learning Framework for Contention-Based Spectrum Sharing. - Akash S. Doshi; Srinivas Yerramalli; Lorenzo Ferrari; Taesang Yoo; Jeffrey G. Andrews (IEEE J. Sel. Areas Commun., 2021)

DeepWiPHY: Deep Learning-Based Receiver Design and Dataset for IEEE 802.11ax Systems. - Yi Zhang 021; Akash S. Doshi; Rob Liston; Wai-Tian Tan; Xiaoqing Zhu; Jeffrey G. Andrews; Robert W. Heath Jr. (IEEE Trans. Wirel. Commun., 2021)

Combining Contention-Based Spectrum Access and Adaptive Modulation using Deep Reinforcement Learning. - Akash S. Doshi; Jeffrey G. Andrews (IEEECONF, 2022)

Evaluation of Adaptation Methods for Deep Learning-based Wi-Fi Receivers. - William Blount; Kris Li; Amrith Lotlikar; Akash S. Doshi; Jeffrey G. Andrews (WCNC, 2022)

Over-the-Air Design of GAN Training for mmWave MIMO Channel Estimation. - Akash S. Doshi; Manan Gupta; Jeffrey G. Andrews (IEEE J. Sel. Areas Inf. Theory, 2022)

Radio DIP - Completing Radio Maps using Deep Image Prior. - Akash S. Doshi; June Namgoong; Taesang Yoo (GLOBECOM, 2023)

Transformer-Based Neural Surrogate for Link-Level Path Loss Prediction from Variable-Sized Maps. - Thomas M. Hehn; Tribhuvanesh Orekondy; Ori Shental; Arash Behboodi; Juan Bucheli; Akash S. Doshi; June Namgoong; Taesang Yoo; Ashwin Sampath; Joseph B. Soriaga (GLOBECOM, 2023)

One-Bit mmWave MIMO Channel Estimation Using Deep Generative Networks. - Akash S. Doshi; Jeffrey G. Andrews (IEEE Wirel. Commun. Lett., 2023)

Visual Transformers for Cooperative Device-free Object Localization Using mmWave Signals. - Ziqi Wang; June Namgoong; Taesang Yoo; Wooseok Nam; Yucheng Dai; Akash S. Doshi; Tao Luo 009 (VTC Fall, 2024)