Bayesian State Estimation for Unobservable Distribution Systems via Deep Learning. - Kursat Rasim Mestav; Jaime Luengo-Rozas; Lang Tong 001 (CoRR, 2018)

Learning the Unobservable: High-Resolution State Estimation via Deep Learning. - Kursat Rasim Mestav; Lang Tong 001 (Allerton, 2019)

State Estimation in Smart Distribution Systems with Deep Generative Adversary Networks. - Kursat Rasim Mestav; Lang Tong 001 (SmartGridComm, 2019)

Bad-Data Sequence Detection for Power System State Estimation via ICA-GAN. - Kursat Rasim Mestav; Lang Tong 001 (CoRR, 2020)

Universal Data Anomaly Detection via Inverse Generative Adversary Network. - Kursat Rasim Mestav; Lang Tong 001 (IEEE Signal Process. Lett., 2020)

CSI Compression for Massive MIMO: Model-Based or Data-Driven? - Jie Chen; William J. Hillery; Kursat Rasim Mestav; Carl J. Nuzman; Iraj Saniee; Yunchou Xing (IEEE Wirel. Commun., 2025)

Demonstrating Interoperable Channel State Feedback Compression with Machine Learning. - Dani Korpi; Rachel Wang; Jerry Wang; Abdelrahman Ibrahim; Carl J. Nuzman; Runxin Wang; Kursat Rasim Mestav; Dustin Zhang; Iraj Saniee; Shawn Winston; Gordana Pavlovic; Wei Ding; et al. (CoRR, 2025)