A Variational Auto-Encoder Approach for Image Transmission in Noisy Channel. - Amir Hossein Estiri; Mohammad Reza Sabramooz; Ali Banaei; Amir Hossein Dehghan; Benyamin Jamialahmadi; Mahdi Jafari Siavoshani (IST, 2020)

A Variational Auto-Encoder Approach for Image Transmission in Wireless Channel. - Amir Hossein Estiri; Mohammad Reza Sabramooz; Ali Banaei; Amir Hossein Dehghan; Benyamin Jamialahmadi; Mahdi Jafari Siavoshani (CoRR, 2020)

Attentive Federated Learning for Concept Drift in Distributed 5G Edge Networks. - Amir Hossein Estiri; Muthucumaru Maheswaran (CoRR, 2021)

Understanding Hessian Alignment for Domain Generalization. - Sobhan Hemati; Guojun Zhang; Amir Hossein Estiri; Xi Chen (ICCV, 2023)

Cross Domain Generative Augmentation: Domain Generalization with Latent Diffusion Models. - Sobhan Hemati; Mahdi Beitollahi; Amir Hossein Estiri; Bassel Al Omari; Xi Chen 009; Guojun Zhang (CoRR, 2023)

Beyond Loss Functions: Exploring Data-Centric Approaches with Diffusion Model for Domain Generalization. - Sobhan Hemati; Mahdi Beitollahi; Amir Hossein Estiri; Bassel Al Omari; Soufiane Lamghari; Yasser H. Khalil; Xi Chen 009; Guojun Zhang (Trans. Mach. Learn. Res., 2024)

DFML: Decentralized Federated Mutual Learning. - Yasser H. Khalil; Amir Hossein Estiri; Mahdi Beitollahi; Nader Asadi; Sobhan Hemati; Xu Li 001; Guojun Zhang; Xi Chen 009 (Trans. Mach. Learn. Res., 2024)