Your Location：
Home >
Browse articles >
Towards the first principles of explaining DNNs: interactions explain the learning dynamics
Regular Papers | Updated：2025-07-28

    • Towards the first principles of explaining DNNs: interactions explain the learning dynamics

    • 面向深度神经网络解释的第一性原理：基于等效交互理论解析学习动态性
    • “In the field of explainable artificial intelligence, this paper discusses whether interaction-based explanation can serve as the first-principles explanation of a deep neural network. Expert established the interaction theory system, which provides solutions to solve the extremely complex learning dynamics of a DNN.”
    • Frontiers of Information Technology & Electronic Engineering   Vol. 26, Issue 7, Pages: 1017-1026(2025)

    • DOI：10.1631/FITEE.2401025    

      CLC： TP183

    • Received：25 November 2024，

      Revised：26 January 2025，

      Published：2025-07

    Scan QR Code

  • Huilin ZHOU, Qihan REN, Junpeng ZHANG, et al. Towards the first principles of explaining DNNs: interactions explain the learning dynamics[J]. Frontiers of information technology & electronic engineering, 2025, 26(7): 1017-1026. DOI： 10.1631/FITEE.2401025.

  •  
  •  

0

Views

7

Downloads

0

CSCD

PlumX

>
Alert me when the article has been cited
Submit
Tools
Download
Export Citation
Share
Add to favorites
Add to my album

Related Articles

No data

Related Author

No data

Related Institution

No data
0