We invite companies to submit abstracts of industrial research or applications to the 19th International Conference on Neurosymbolic Learning and Reasoning (NeSy 2025), held in Santa Cruz (CA, USA) from September 8-10, 2025.
NeSy is the premier annual conference of the research community working on neurosymbolic AI, integrating symbolic and neural approaches to learning, reasoning, and problem-solving in AI. Authors of accepted industry abstracts will be invited to present their work (as poster or orally) at the conference, which is an in-person event.
Website: https://2025.nesyconf.org
Correspondence: organ...@nesyconf.org
===== Relevant Dates =====
Industry abstract deadline: June 15, 2025
Author notifications: July 3, 2025
All deadlines are 11:59 PM, AoE. Please use OpenReview for submissions.
===== Subject Areas =====
The NeSy conference invites industry abstracts related to all aspects of the integration of neural networks and symbolic AI, including industrial research, research-in-progress, systems, or applications.
Topics of interest include, but are not limited to
Neurosymbolic Generative Models;
Knowledge Graphs, Ontologies and Neurosymbolic AI;
Neurosymbolic Methods for Trustworthy and Interpretable AI
Informed Machine Learning;
Addressing knowledge representation and reasoning tasks using neural networks;
Code generation and knowledge engineering with neural networks, including with LLMs;
Studying and improving LLM reasoning with Neurosymbolic methods;
Neurosymbolic cognitive modelling;
Languages for Neurosymbolic AI, including differentiable and probabilistic programming languages;
Embedding methods for structured information;
Circuits and knowledge compilation for Neurosymbolic AI;
Specification and verification of machine/deep learning systems;
Neurosymbolic methods for reinforcement learning, causality, structure learning, transfer, meta, multitask and continual learning, relational learning, graph neural networks;
Applications of Neurosymbolic AI, including in education, law, simulation, finance, healthcare, robotics, software engineering, systems engineering, bioinformatics, and visual intelligence;
===== Submission guidelines =====
All submissions should be made before the deadline on our OpenReview page.
Please use the Latex template available at this link.
Industry abstracts should provide an overview of the industrial effort related to neurosymbolic AI and should not exceed 2 pages.
The conference will be held in-person, and authors of accepted abstracts are required to attend the conference physically to present their work. Please note that the deadline and notification is rather close to the conference to allow for late-breaking contributions — authors from outside the US need to make sure that they have enough time to obtain US visas.
After notification, reviews of accepted abstracts will be posted online on OpenReview along with the originally submitted version of the abstract. Reviewers remain anonymous unless they opt in to them being named.
All questions about submissions should be addressed to organ...@nesyconf.org.
===== Organizing Committee =====
General/Local Chair:
+ Leilani H. Gilpin (UC Santa Cruz)
Program Chairs:
+ Pascal Hitzler (Kansas State University)
+ Eleonora Giunchiglia (Imperial College London)
+ Emile van Krieken (University of Edinburgh)
Neurosymbolic Generative Models Special Track Chairs:
+ Thiviyan Thanapalasingam (Sony AI)
+ Kareem Ahmed (University of California, Irvine)
Neurosymbolic Methods for Trustworthy and Interpretable AI Special Track Chairs:
+ Abhilekha Dalal (Kansas State University)
+ Vaishak Belle (University of Edinburgh)
Knowledge Graphs, Ontologies and Neurosymbolic AI Special Track Chairs:
+ Cogan Shimizu (Wright State University)
+ Claudia d'Amato (University of Bari)
-- Pascal Hitzler Lloyd T. Smith Creativity in Engineering Chair Director, Center for AI and Data Science CAIDS Director, Inst. for Digital Agriculture and Adv. Analyt. ID3A Kansas State University http://www.pascal-hitzler.de http://www.daselab.org http://www.semantic-web-journal.net http://k-state.edu/ID3A https://neurosymbolic-ai-journal.com