WA3a.3

Gram-Guided Diffusion for Joint MIMO Channel Estimation and Data Detection 

Xinyuan Wang, Texas A&M University, United States; Nicholas Zilberstein, Rice University, United States; Krisha Narayanan, Texas A&M University, United States; Santiago Segarra, Rice University, United States; Antharam Swami, Army Research Lab, United States
Session:
WA3a: Modern Machine Learning and Optimization for Wireless Networks Lecture
Track:
Networks and Graphs
Location:
Room 3
Presentation Time:
Wed, 28 Oct, 09:05 - 09:30 PT (UTC -7)
Session Chair:
Mark Eisen, Intel Labs, United States
Presentation
Discussion
Resources
No resources available.
Session WA3a
WA3a.1: Time-Series Foundation Models for Communication Networks: From Zero-Shot Inference to Parameter-Efficient Fine-Tuning
Yiming Zhang, Dongning Guo, Northwestern University, United States
WA3a.2: Distributionally Robust Resource Policies over Kullback-Leibler Balls
Gokberk Yaylali, Baturay Saglam, Dionysis Kalogerias, Yale University, United States
WA3a.3: Gram-Guided Diffusion for Joint MIMO Channel Estimation and Data Detection 
Xinyuan Wang, Texas A&M University, United States; Nicholas Zilberstein, Rice University, United States; Krisha Narayanan, Texas A&M University, United States; Santiago Segarra, Rice University, United States; Antharam Swami, Army Research Lab, United States
WA3a.4: Fusion of Wi-Fi, audio and language-based reasoning capabilities for robust indoor activity detection
Rahul C. Shah, Gila Kamhi, Udi Apsel, Maximilian Pinaroc, Intel Corp., United States
Contacts