Cover Image

Aligned explanations in neural networks

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lobet, Corentin, Chiaromonte, Francesca
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Neuron-based explanations of neural networks sacrifice completeness and interpretability
by: Dey, Nolan, et al.
Published: (2020)

Post-hoc Self-explanation of CNNs
by: Boubekki, Ahcène, et al.
Published: (2026)

Equivariant neural networks and equivarification
by: Bao, Erkao, et al.
Published: (2019)

On the explainability of max-plus neural networks
by: Enaieh, Ikhlas, et al.
Published: (2026)

Conformal Prediction for Image Segmentation Using Morphological Prediction Sets
by: Mossina, Luca, et al.
Published: (2025)

Controlling False Positives in Image Segmentation via Conformal Prediction
by: Mossina, Luca, et al.
Published: (2025)

Are classical deep neural networks weakly adversarially robust?
by: Sun, Nuolin, et al.
Published: (2025)

On margin-based generalization prediction in deep neural networks
by: Mouton, Coenraad
Published: (2024)

Characterization of topological structures in different neural network architectures
by: Świder, Paweł
Published: (2024)

Spectral structural distortion reveals redundant neurons in neural networks
by: Wang, Yongyu
Published: (2026)

Multi-task convolutional neural network for image aesthetic assessment
by: Soydaner, Derya, et al.
Published: (2023)

Sparse components distinguish visual pathways & their alignment to neural networks
by: Marvi, Ammar I, et al.
Published: (2025)

SCE-LITE-HQ: Smooth visual counterfactual explanations with generative foundation models
by: Zeid, Ahmed, et al.
Published: (2026)

Neural network relief: a pruning algorithm based on neural activity
by: Dekhovich, Aleksandr, et al.
Published: (2021)

Training morphological neural networks with gradient descent: some theoretical insights
by: Blusseau, Samy
Published: (2024)

Reduced storage direct tensor ring decomposition for convolutional neural networks compression
by: Gabor, Mateusz, et al.
Published: (2024)

Investigating generalization capabilities of neural networks by means of loss landscapes and Hessian analysis
by: Gabdullin, Nikita
Published: (2024)

A multimodal slice discovery framework for systematic failure detection and explanation in medical image classification
by: Liu, Yixuan, et al.
Published: (2026)

Using predefined vector systems to speed up neural network multimillion class classification
by: Gabdullin, Nikita, et al.
Published: (2026)

InfoGNN: End-to-end deep learning on mesh via graph neural networks
by: Gao, Ling, et al.
Published: (2025)

Differentiable, Bit-shifting, and Scalable Quantization without training neural network from scratch
by: Badar, Zia
Published: (2025)

GD doesn't make the cut: Three ways that non-differentiability affects neural network training
by: Kumar, Siddharth Krishna
Published: (2024)

Mapping Rio de Janeiro's favelas: general-purpose vs. satellite-specific neural networks
by: Hallopeau, Thomas, et al.
Published: (2025)

Real-time prediction of breast cancer sites using deformation-aware graph neural network
by: Lee, Kyunghyun, et al.
Published: (2025)

Hand bone age estimation using divide and conquer strategy and lightweight convolutional neural networks
by: Kasani, Amin Ahmadi, et al.
Published: (2024)

Distributed solar generation forecasting using attention-based deep neural networks for cloud movement prediction
by: Perera, Maneesha, et al.
Published: (2024)

The effects of Hessian eigenvalue spectral density type on the applicability of Hessian analysis to generalization capability assessment of neural networks
by: Gabdullin, Nikita
Published: (2025)

Can neural networks count digit frequency?
by: Khandelwal, Padmaksh
Published: (2023)

The MixCount Dataset: Bridging the Data Gap for Open-Vocabulary Object Counting
by: Dumery, Corentin, et al.
Published: (2026)

Re-Align: Aligning Vision Language Models via Retrieval-Augmented Direct Preference Optimization
by: Xing, Shuo, et al.
Published: (2025)

Enhancing convolutional neural network generalizability via low-rank weight approximation
by: Gao, Chenyin, et al.
Published: (2022)

Robust deep labeling of radiological emphysema subtypes using squeeze and excitation convolutional neural networks: The MESA Lung and SPIROMICS Studies
by: Wysoczanski, Artur, et al.
Published: (2024)

A foundation for exact binarized morphological neural networks
by: Aouad, Theodore, et al.
Published: (2024)

Wasserstein distributional adversarial training for deep neural networks
by: Bai, Xingjian, et al.
Published: (2025)

Aligning Latent Spaces with Flow Priors
by: Li, Yizhuo, et al.
Published: (2025)

Covariant spatio-temporal receptive fields for spiking neural networks
by: Pedersen, Jens Egholm, et al.
Published: (2024)

CeCNN: Copula-enhanced convolutional neural networks in joint prediction of refraction error and axial length based on ultra-widefield fundus images
by: Zhong, Chong, et al.
Published: (2023)

Explicit Critic Guidance for Aligning Diffusion Models
by: Liang, Zhengyang, et al.
Published: (2026)

Bayesian sparsification for deep neural networks with Bayesian model reduction
by: Marković, Dimitrije, et al.
Published: (2023)

Kinematic analysis of structural mechanics based on convolutional neural network
by: Zhang, Leye, et al.
Published: (2024)