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Advancing the Understanding of Fixed Point Iterations in Deep Neural
  Networks: A Detailed Analytical Study

Advancing the Understanding of Fixed Point Iterations in Deep Neural Networks: A Detailed Analytical Study

15 October 2024
Yekun Ke
Xiaoyu Li
Yingyu Liang
Zhenmei Shi
Zhao-quan Song
ArXivPDFHTML

Papers citing "Advancing the Understanding of Fixed Point Iterations in Deep Neural Networks: A Detailed Analytical Study"

3 / 3 papers shown
Title
Looped ReLU MLPs May Be All You Need as Practical Programmable Computers
Looped ReLU MLPs May Be All You Need as Practical Programmable Computers
Yingyu Liang
Zhizhou Sha
Zhenmei Shi
Zhao-quan Song
Yufa Zhou
96
18
0
21 Feb 2025
Bypassing the Exponential Dependency: Looped Transformers Efficiently Learn In-context by Multi-step Gradient Descent
Bypassing the Exponential Dependency: Looped Transformers Efficiently Learn In-context by Multi-step Gradient Descent
Bo Chen
Xiaoyu Li
Yingyu Liang
Zhenmei Shi
Zhao-quan Song
91
19
0
15 Oct 2024
Can Looped Transformers Learn to Implement Multi-step Gradient Descent
  for In-context Learning?
Can Looped Transformers Learn to Implement Multi-step Gradient Descent for In-context Learning?
Khashayar Gatmiry
Nikunj Saunshi
Sashank J. Reddi
Stefanie Jegelka
Sanjiv Kumar
67
17
0
10 Oct 2024
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