General Information:

Submissions are invited for the 5th International Joint Conference on Learning and Reasoning to be held at University of Surrey, Guildford, UK, 12-14 September 2025. Since 2021, IJCLR has aimed at being the conference bringing together the international AI community that is interested in the research of integrating learning and reasoning for addressing many of the shortcomings of contemporary AI approaches, including the black-box nature and the brittleness of deep learning, and the difficulty to adapt knowledge representation models in the light of new data.

The authors could submit their papers to the "Main Track" or "Recently Published Papers Track". Selected conference papers from these two tracks are also invited to submit a significantly revised and extended version of their paper to a post-conference special issue of the Machine Learning Journal (please see below).

Submissions are solicited on all aspects of Learning and Reasoning and topics where machine learning is combined with machine reasoning or knowledge representation.

Authors are invited to submit novel, high-quality work that has neither appeared in nor is under consideration for publication by other journals or conferences (except for the Recently Published Papers Track).

Topics of interest for the Journal Track include, but are not limited to:

• Theory & foundations of logical & relational learning.
• Learning in various logical representations and formalisms, such as logic programming & answer set programming, first-order & higher-order logic, description logic & ontologies.
• Inductive methods for program synthesis or example-driven programming.
• Combining logic and functional program induction, meta-interpretative learning & predicate invention.
• Statistical Relational AI, including structure/parameter learning for probabilistic logic languages, relational probabilistic graphical models, kernel-based methods, neural-symbolic learning.
• Systems and techniques that integrate neural, statistical & symbolic learning.
• Systems and techniques addressing aspects of integrating learning, reasoning & optimization.
• Knowledge representation and reasoning in deep neural networks.
• Symbolic knowledge extraction from neural and statistical learning models.
• Neural-symbolic AI.
• Techniques that foster explainability & trustworthiness of AI models, including combinations of machine learning with constraints & satisfiability, explainable AI frameworks and reasoning about the behavior of machine learning models.
• Scaling-up logical & relational learning: parallel & distributed learning techniques, online learning and learning structured representations from data streams.
• Human-Like Computing, including Cognitive and AI aspects of perception, action and learning.

Main Track

Conference papers, describing original work with appropriate experimental evaluation and/or a self-contained theoretical contribution. Submitted conference papers should not have been published, or be under review for a journal, or another conference with published proceedings. Conference papers may be either long papers, of up to 15 pages, including references, or short papers of up to 6-9 pages, including references. Submitted papers should contain a substantial contribution that justifies their length, e.g. proofs of extensive experimental studies. Visit the Important Dates page for the Main Track cut-off dates. Visit the Submission Guidelines page for more information. Papers accepted to the Main Track will be presented at IJCLR.

Recently Published Papers Track:

IJCLR invites high-quality papers relevant to the scope of the conference, which have been recently published, or accepted for publication, by a first-class conference such as IJCAI, AAAI, NeurIPS, ICML, KDD, ECML/PKDD, ICDM, etc., or journals such as AIJ, MLJ, DMKD, JMLR, etc. Visit the Important Dates page for the Recently Published Papers Track cut-off dates. Visit the Submission Guidelines page for more information. Papers submitted to the “Recently Published Papers Track” will be accepted on the grounds of relevance and quality of the original publication venue. Accepted papers will be presented at IJCLR.

Journal Special Issue:

Please note that submissions to the Journal Special Issue for IJCLR 2025 are by invitation only and from the papers submitted to the conference. A post-conference special issue of the Machine Learning Journal is planned with papers selected by the PC from the "Main Track" and “Recently Published Papers Track (conference papers)". The authors of invited papers should submit a significantly revised and/or extended version of their conference papers to meet the MLJ criteria, and re-reviewed by the PC. More information including the deadline and submission instructions will be sent to the authors of invited papers and will be also available from the conference website.

Publication:

Conference papers (either short or long) will be included in the conference proceedings, to be published by Springer Verlag in the Lecture Notes in Artificial Intelligence (LNAI) Series. Late Breaking abstracts will be published on the conference website. A link to recently published papers will be included in the conference website.