ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2304.09759
  4. Cited By
Amplifying Sine Unit: An Oscillatory Activation Function for Deep Neural
  Networks to Recover Nonlinear Oscillations Efficiently

Amplifying Sine Unit: An Oscillatory Activation Function for Deep Neural Networks to Recover Nonlinear Oscillations Efficiently

18 April 2023
J. Rahman
Faiza Makhdoom
D. Lu
ArXivPDFHTML

Papers citing "Amplifying Sine Unit: An Oscillatory Activation Function for Deep Neural Networks to Recover Nonlinear Oscillations Efficiently"

3 / 3 papers shown
Title
Zorro: A Flexible and Differentiable Parametric Family of Activation
  Functions That Extends ReLU and GELU
Zorro: A Flexible and Differentiable Parametric Family of Activation Functions That Extends ReLU and GELU
Matias Roodschild
Jorge Gotay-Sardiñas
V. Jimenez
A. Will
18
0
0
28 Sep 2024
DiffGrad for Physics-Informed Neural Networks
DiffGrad for Physics-Informed Neural Networks
Jamshaid Ul Rahman
Nimra
PINN
ODL
23
1
0
05 Sep 2024
ASU-CNN: An Efficient Deep Architecture for Image Classification and
  Feature Visualizations
ASU-CNN: An Efficient Deep Architecture for Image Classification and Feature Visualizations
J. Rahman
Faiza Makhdoom
D. Lu
19
3
0
28 May 2023
1