Enhancing Neural Network Interpretability Through Conductance-Based Information Plane Analysis
Fuente:
arXiv
Saved in:
| Main Authors: | Dabounou, Jaouad, Baazzouz, Amine |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Adaptive Class Emergence Training: Enhancing Neural Network Stability and Generalization through Progressive Target Evolution
by: Dabounou, Jaouad
Published: (2024)
by: Dabounou, Jaouad
Published: (2024)
Adaptive Feedforward Gradient Estimation in Neural ODEs
by: Dabounou, Jaouad
Published: (2024)
by: Dabounou, Jaouad
Published: (2024)
SIC: Similarity-Based Interpretable Image Classification with Neural Networks
by: Wolf, Tom Nuno, et al.
Published: (2025)
by: Wolf, Tom Nuno, et al.
Published: (2025)
The Deepfake Detective: Interpreting Neural Forensics Through Sparse Features and Manifolds
by: Sahoo, Subramanyam, et al.
Published: (2025)
by: Sahoo, Subramanyam, et al.
Published: (2025)
Cluster Paths: Navigating Interpretability in Neural Networks
by: Kroeger, Nicholas M., et al.
Published: (2025)
by: Kroeger, Nicholas M., et al.
Published: (2025)
Enhancing Interpretability of Sparse Latent Representations with Class Information
by: Abiz, Farshad Sangari, et al.
Published: (2025)
by: Abiz, Farshad Sangari, et al.
Published: (2025)
Perturbation on Feature Coalition: Towards Interpretable Deep Neural Networks
by: Hu, Xuran, et al.
Published: (2024)
by: Hu, Xuran, et al.
Published: (2024)
Quantized and Interpretable Learning Scheme for Deep Neural Networks in Classification Task
by: Maleki, Alireza, et al.
Published: (2024)
by: Maleki, Alireza, et al.
Published: (2024)
VOICE: Variance of Induced Contrastive Explanations to quantify Uncertainty in Neural Network Interpretability
by: Prabhushankar, Mohit, et al.
Published: (2024)
by: Prabhushankar, Mohit, et al.
Published: (2024)
Interpretable Dynamic Graph Neural Networks for Small Occluded Object Detection and Tracking
by: Soudeep, Shahriar, et al.
Published: (2024)
by: Soudeep, Shahriar, et al.
Published: (2024)
Gaussian Smoothing in Saliency Maps: The Stability-Fidelity Trade-Off in Neural Network Interpretability
by: Ye, Zhuorui, et al.
Published: (2024)
by: Ye, Zhuorui, et al.
Published: (2024)
Enhancing Interpretability of AR-SSVEP-Based Motor Intention Recognition via CNN-BiLSTM and SHAP Analysis on EEG Data
by: Yang, Lin, et al.
Published: (2025)
by: Yang, Lin, et al.
Published: (2025)
Fractional Concepts in Neural Networks: Enhancing Activation Functions
by: Alijani, Zahra, et al.
Published: (2023)
by: Alijani, Zahra, et al.
Published: (2023)
Explaining Deep Convolutional Neural Networks for Image Classification by Evolving Local Interpretable Model-agnostic Explanations
by: Wang, Bin, et al.
Published: (2022)
by: Wang, Bin, et al.
Published: (2022)
Financial Fraud Identification and Interpretability Study for Listed Companies Based on Convolutional Neural Network
by: Li, Xiao
Published: (2025)
by: Li, Xiao
Published: (2025)
Enhancing Accuracy and Parameter-Efficiency of Neural Representations for Network Parameterization
by: Choi, Hongjun, et al.
Published: (2024)
by: Choi, Hongjun, et al.
Published: (2024)
Domain-Aware Fine-Tuning: Enhancing Neural Network Adaptability
by: Ha, Seokhyeon, et al.
Published: (2023)
by: Ha, Seokhyeon, et al.
Published: (2023)
Graph Neural Networks for Knowledge Enhanced Visual Representation of Paintings
by: Efthymiou, Athanasios, et al.
Published: (2021)
by: Efthymiou, Athanasios, et al.
Published: (2021)
An XAI-based Analysis of Shortcut Learning in Neural Networks
by: Le, Phuong Quynh, et al.
Published: (2025)
by: Le, Phuong Quynh, et al.
Published: (2025)
VISION-ICE: Video-based Interpretation and Spatial Identification of Arrhythmia Origins via Neural Networks in Intracardiac Echocardiography
by: EPMoghaddam, Dorsa, et al.
Published: (2026)
by: EPMoghaddam, Dorsa, et al.
Published: (2026)
A Two-Step Concept-Based Approach for Enhanced Interpretability and Trust in Skin Lesion Diagnosis
by: Patrício, Cristiano, et al.
Published: (2024)
by: Patrício, Cristiano, et al.
Published: (2024)
Transformation of Biological Networks into Images via Semantic Cartography for Visual Interpretation and Scalable Deep Analysis
by: Mostafa, Sakib, et al.
Published: (2025)
by: Mostafa, Sakib, et al.
Published: (2025)
Information Geometry of Evolution of Neural Network Parameters While Training
by: Thiruthummal, Abhiram Anand, et al.
Published: (2024)
by: Thiruthummal, Abhiram Anand, et al.
Published: (2024)
Neural Additive Image Model: Interpretation through Interpolation
by: Reuter, Arik, et al.
Published: (2024)
by: Reuter, Arik, et al.
Published: (2024)
Enhancing Neural Network Robustness Against Fault Injection Through Non-linear Weight Transformations
by: Fuengfusin, Ninnart, et al.
Published: (2024)
by: Fuengfusin, Ninnart, et al.
Published: (2024)
FisherMask: Enhancing Neural Network Labeling Efficiency in Image Classification Using Fisher Information
by: Gul, Shreen, et al.
Published: (2024)
by: Gul, Shreen, et al.
Published: (2024)
Neural Surrogate Forward Modelling For Electrocardiology Without Explicit Intracellular Conductivity Tensor
by: Ogbomo-Harmitt, Shaheim, et al.
Published: (2026)
by: Ogbomo-Harmitt, Shaheim, et al.
Published: (2026)
Early Detection of Coffee Leaf Rust Through Convolutional Neural Networks Trained on Low-Resolution Images
by: Cabrera, Angelly, et al.
Published: (2024)
by: Cabrera, Angelly, et al.
Published: (2024)
Enhancing Certifiable Semantic Robustness via Robust Pruning of Deep Neural Networks
by: Hu, Hanjiang, et al.
Published: (2025)
by: Hu, Hanjiang, et al.
Published: (2025)
Enhancing Deep Neural Network Training Efficiency and Performance through Linear Prediction
by: Ying, Hejie, et al.
Published: (2023)
by: Ying, Hejie, et al.
Published: (2023)
Tensor Decomposition Based Attention Module for Spiking Neural Networks
by: Deng, Haoyu, et al.
Published: (2023)
by: Deng, Haoyu, et al.
Published: (2023)
Investigating the Effect of Network Pruning on Performance and Interpretability
by: von Rad, Jonathan, et al.
Published: (2024)
by: von Rad, Jonathan, et al.
Published: (2024)
Optimising for Interpretability: Convolutional Dynamic Alignment Networks
by: Böhle, Moritz, et al.
Published: (2021)
by: Böhle, Moritz, et al.
Published: (2021)
Interpretable Diffusion Models with B-cos Networks
by: Bernold, Nicola, et al.
Published: (2025)
by: Bernold, Nicola, et al.
Published: (2025)
B-cosification: Transforming Deep Neural Networks to be Inherently Interpretable
by: Arya, Shreyash, et al.
Published: (2024)
by: Arya, Shreyash, et al.
Published: (2024)
Visual Analysis of Prediction Uncertainty in Neural Networks for Deep Image Synthesis
by: Dutta, Soumya, et al.
Published: (2024)
by: Dutta, Soumya, et al.
Published: (2024)
Assessing a Single Student's Concentration on Learning Platforms: A Machine Learning-Enhanced EEG-Based Framework
by: Zhuo, Zewen, et al.
Published: (2025)
by: Zhuo, Zewen, et al.
Published: (2025)
Few-Shot Unsupervised Implicit Neural Shape Representation Learning with Spatial Adversaries
by: Ouasfi, Amine, et al.
Published: (2024)
by: Ouasfi, Amine, et al.
Published: (2024)
Interpreting Neurons in Deep Vision Networks with Language Models
by: Bai, Nicholas, et al.
Published: (2024)
by: Bai, Nicholas, et al.
Published: (2024)
CIP-Net: Continual Interpretable Prototype-based Network
by: Di Valerio, Federico, et al.
Published: (2025)
by: Di Valerio, Federico, et al.
Published: (2025)
Similar Items
-
Adaptive Class Emergence Training: Enhancing Neural Network Stability and Generalization through Progressive Target Evolution
by: Dabounou, Jaouad
Published: (2024) -
Adaptive Feedforward Gradient Estimation in Neural ODEs
by: Dabounou, Jaouad
Published: (2024) -
SIC: Similarity-Based Interpretable Image Classification with Neural Networks
by: Wolf, Tom Nuno, et al.
Published: (2025) -
The Deepfake Detective: Interpreting Neural Forensics Through Sparse Features and Manifolds
by: Sahoo, Subramanyam, et al.
Published: (2025) -
Cluster Paths: Navigating Interpretability in Neural Networks
by: Kroeger, Nicholas M., et al.
Published: (2025)