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Model-Based Machine Learning for Communications

Model-Based Machine Learning for Communications

12 January 2021
Nir Shlezinger
Nariman Farsad
Yonina C. Eldar
Andrea J. Goldsmith
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Papers citing "Model-Based Machine Learning for Communications"

7 / 7 papers shown
Title
Adaptive Layer Splitting for Wireless LLM Inference in Edge Computing: A
  Model-Based Reinforcement Learning Approach
Adaptive Layer Splitting for Wireless LLM Inference in Edge Computing: A Model-Based Reinforcement Learning Approach
Yuxuan Chen
Rongpeng Li
Xiaoxue Yu
Zhifeng Zhao
Honggang Zhang
42
9
0
03 Jun 2024
Calibrating AI Models for Wireless Communications via Conformal
  Prediction
Calibrating AI Models for Wireless Communications via Conformal Prediction
K. Cohen
Sangwoo Park
Osvaldo Simeone
S. Shamai
26
6
0
15 Dec 2022
Statistical Hypothesis Testing Based on Machine Learning: Large
  Deviations Analysis
Statistical Hypothesis Testing Based on Machine Learning: Large Deviations Analysis
P. Braca
L. Millefiori
A. Aubry
S. Maranò
A. De Maio
P. Willett
29
12
0
22 Jul 2022
Model-Based Deep Learning: On the Intersection of Deep Learning and
  Optimization
Model-Based Deep Learning: On the Intersection of Deep Learning and Optimization
Nir Shlezinger
Yonina C. Eldar
Stephen P. Boyd
22
130
0
05 May 2022
Model-based Deep Learning Receiver Design for Rate-Splitting Multiple
  Access
Model-based Deep Learning Receiver Design for Rate-Splitting Multiple Access
Rafael Cerna Loli
Onur Dizdar
B. Clerckx
Cong Ling
21
18
0
02 May 2022
Learn to Communicate with Neural Calibration: Scalability and
  Generalization
Learn to Communicate with Neural Calibration: Scalability and Generalization
Yifan Ma
Yifei Shen
Xianghao Yu
Jun Zhang
S. H. Song
Khaled B. Letaief
34
12
0
01 Oct 2021
DeepSIC: Deep Soft Interference Cancellation for Multiuser MIMO
  Detection
DeepSIC: Deep Soft Interference Cancellation for Multiuser MIMO Detection
Nir Shlezinger
Rong Fu
Yonina C. Eldar
37
102
0
08 Feb 2020
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