Connectionists: [CFP] Special Session: Neuro Symbolic AI and Complex Data @ESANN2026

[Davide Rigoni]

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CALL FOR PAPERS (ESANN 2026)

European Symposium on Artificial Neural Networks, Computational

Intelligence and Machine Learning: https://www.esann.org/

More details on the Special Session "Neuro Symbolic AI and Complex Data":
https://www.esann.org/special-sessions#session1

Bruges, Belgium, 22-24 April 2026

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****** Call For Papers ******

In the contemporary era of Artificial Intelligence (AI) based
decision-making, the application of AI on complex data (e.g., nonlinear
systems, images, text, sequences, trees, and graphs) has become
increasingly pivotal - spanning domains such as drug discovery, industrial
automation, and decision support systems. Yet, purely data-driven methods
often fall short in domains where structured reasoning, interpretability,
and the integration of human knowledge are essential. Neuro-symbolic AI
emerges as a promising paradigm that combines the strengths of symbolic
reasoning with sub-symbolic learning, bridging the gap between data-driven
models and domain-specific knowledge, requirements, and constraints. This
fusion allows for more generalizable, explainable, and trustworthy
systems, capable
of incorporating logical rules, expert knowledge, and domain constraints
into complex data-driven tasks. In this context, Neuro-Symbolic AI holds
the potential to enhance model sustainability, robustness, transparency,
and alignment with human-centric goals. This additional knowledge can take
many forms, for example:

-> Constraint-Aware AI, which embeds hard or soft logical constraints or
verification rules in learning algorithms;

-> AI for science, where (possibly interpretable) models must comply with
physical laws or symbolic expressions;

-> Socially responsible AI, where ethical frameworks and cultural
principles shape decisions;

-> Applications (e.g., bioinformatics, software engineering, natural
sciences, or legal informatics) where knowledge graphs and ontologies guide
data-driven inference.

This special session aims to gather valuable contributions and early
findings in the field of Neuro-Symbolic AI for Complex Data. Our main
objective is to showcase the potential and limitations of new ideas,
improvements, and cross-disciplinary integrations of symbolic reasoning and
machine learning for solving real-world problems. We welcome contributions
across disciplines and encourage submissions that integrate symbolic
reasoning, statistical learning, complex data, and domain-specific
knowledge to advance the frontiers of AI research.


****** Important Dates ******

Paper Submissions: 19 November 2025

Paper Acceptance Notifications: 23 January 2026

Conference: 22-24 April 2026


****** Session Organisers ******

-> Luca Oneto (University of Genoa, Italy)

-> Nicolò Navarin (University of Padua, Italy)

-> Luca Pasa (University of Padua, Italy)

-> Davide Rigoni (University of Padua, Italy)

*-> *Davide Anguita (DIBRIS - University of Genova, Italy)
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Davide Rigoni, Ph.D.
Postdoctoral Researcher

Machine Learning Group (MLG)
Department of Mathematics "Tullio Levi-Civita"
University of Padova, Via Trieste 63, 35131 Padova (PD) - Italy

E-mail:      *davide.rigoni.1 at unipd.it <davide.rigoni.2 at phd.unipd.it>*
Web:         *http://www.drigoni.it <http://www.drigoni.it/>*

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