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Globally Optimal Training of Neural Networks with Threshold Activation
  Functions

Globally Optimal Training of Neural Networks with Threshold Activation Functions

6 March 2023
Tolga Ergen
Halil Ibrahim Gulluk
Jonathan Lacotte
Mert Pilanci
ArXivPDFHTML

Papers citing "Globally Optimal Training of Neural Networks with Threshold Activation Functions"

4 / 4 papers shown
Title
Analyzing Neural Network-Based Generative Diffusion Models through
  Convex Optimization
Analyzing Neural Network-Based Generative Diffusion Models through Convex Optimization
Fangzhao Zhang
Mert Pilanci
DiffM
45
3
0
03 Feb 2024
When Deep Learning Meets Polyhedral Theory: A Survey
When Deep Learning Meets Polyhedral Theory: A Survey
Joey Huchette
Gonzalo Muñoz
Thiago Serra
Calvin Tsay
AI4CE
94
32
0
29 Apr 2023
Path Regularization: A Convexity and Sparsity Inducing Regularization
  for Parallel ReLU Networks
Path Regularization: A Convexity and Sparsity Inducing Regularization for Parallel ReLU Networks
Tolga Ergen
Mert Pilanci
26
16
0
18 Oct 2021
Parallel Deep Neural Networks Have Zero Duality Gap
Parallel Deep Neural Networks Have Zero Duality Gap
Yifei Wang
Tolga Ergen
Mert Pilanci
79
10
0
13 Oct 2021
1