SPCOM-L2.6

AUTOREGRESSIVE-GAUSSIAN MIXTURE MODELS: EFFICIENT GENERATIVE MODELING OF WSS SIGNALS

Kathrin Klein, Benedikt Böck, Nurettin Turan, Wolfgang Utschick, Technical University of Munich, Germany
Session:
SPCOM-L2: Machine Learning-Driven Wireless Systems II Oral
Track:
Signal Processing for Sensing and Communications [SPCOM] [SC]
Location:
Room 129+130
Presentation Time:
Wed, 6 May, 10:40 - 11:00
Presentation
Discussion
Resources
No resources available.
Session SPCOM-L2
SPCOM-L2.1: EDGE COLLABORATIVE GAUSSIAN SPLATTING WITH INTEGRATED RENDERING AND COMMUNICATION
Yujie Wan, Southern University of Science and Technology, China; Chenxuan Liu, Shuai Wang, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China; Tong Zhang, James Jianqiao Yu, Harbin Institute of Technology, Shenzhen, China; Kejiang Ye, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China; Dusit Niyato, Nanyang Technological University, Singapore; Chengzhong Xu, University of Macau, Macao
SPCOM-L2.2: Robust Federated Fine-Tuning over Heterogeneous and Unreliable Communication Networks
Yanmeng Wang, Zhiwen Dai, Jian Zhou, Fu Xiao, Nanjing University of Posts and Telecommunications, China; Tsung-Hui Chang, The Chinese University of Hong Kong, Shenzhen, China
SPCOM-L2.3: Dimensionality Reduction for Beamforming by Change of Variable
Yannan Chen, Shenzhen University, China; Wenyu Wang, The Chinese University of Hong Kong, Shenzhen, China; Licheng Zhao, Shenzhen Research Institute of Big Data, China; Lei Huang, Shenzhen University, China; Kaiming Shen, The Chinese University of Hong Kong, Shenzhen, China
SPCOM-L2.4: Bayesian Channel Estimation with Diffusion Probabilistic Priors
Cheng Jin, Qitan Shi, Yuantao Gu, Tsinghua University, China
SPCOM-L2.5: GENERATIVE MODEL-BASED COMPRESSED SENSING FOR MMWAVE CHANNEL ESTIMATION THROUGH SEQUENTIAL PATH RECONSTRUCTION
Beomsoo Ko, Gyoseung Lee, Yongjun Kim, Junil Choi, Korea Advanced Institute of Science and Technology, Korea, Republic of
SPCOM-L2.6: AUTOREGRESSIVE-GAUSSIAN MIXTURE MODELS: EFFICIENT GENERATIVE MODELING OF WSS SIGNALS
Kathrin Klein, Benedikt Böck, Nurettin Turan, Wolfgang Utschick, Technical University of Munich, Germany
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