Symmetry in Deep Learning and Neural Networks
A special issue of Symmetry (ISSN 2073-8994). This special issue belongs to the section "Computer".
Deadline for manuscript submissions: 31 May 2026 | Viewed by 11
Special Issue Editors
Interests: 2D/3D image segmentation; pattern recognition; artificial intelligence and deep learning; data science
Interests: multi-camera systems; 3D vision; panoramic vision; object recognition; robotics; virtual reality and augmented reality
Special Issue Information
Dear Colleagues,
This Special Issue explores the role of symmetry and asymmetry in neural networks and deep learning, emphasizing their theoretical foundations and practical applications. Symmetry principles are central to improving model efficiency, generalization, and robustness across diverse data modalities. Topics of interest include invariance and equivariance in data representations, symmetry-aware architectures, symmetry-breaking strategies, and optimization techniques for advanced neural models. Applications span computer vision, natural language processing, biomedical imaging, robotics, and 3D data analysis. Contributions addressing challenges in handling symmetric or skewed data distributions and their implications in real-world scenarios are particularly encouraged. This Special Issue aims to foster interdisciplinary collaboration and highlight cutting-edge research driving the future of intelligent systems.
Prof. Dr. Alfonso Ramirez-Pedraza
Prof. Dr. José Joel González-Barbosa
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Symmetry is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- symmetry
- asymmetry
- neural networks
- deep learning
- invariance and equivariance
- symmetry-breaking
- optimization
- computer vision
- natural language processing
- biomedical imaging
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