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.
Late-breaking Papers, Posters and Demo Track:
IJCLR 2025 invites submissions of late-breaking papers, posters, and demos that present novel ideas, proposals, or system demonstrations relevant to the IJCLR conference. These may include original work in progress without conclusive experimental results, or other related research not yet ready for formal publication. This year, we particularly welcome system demo submissions showcasing innovative applications or tools aligned with IJCLR themes. Submissions to this track must be between 2 to 4 pages in length, including references, and will be evaluated based on relevance to IJCLR. Visit the Submission Guidelines page for more information. Accepted contributions will be published on the conference website.
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.
Submission Guidelines
Submissions will be handled by CMT. To submit a paper to IJCLR2025, authors are invited to follow the Submission Link. After completing the registration by opening the link, select the Track name from the dropdown menu of the “Create new submission” button to make your submission. You can select " Recently Published Papers Track" or "Late-breaking Papers, Posters and Demo Track"
Recently Published Papers must be submitted in their original format and length and there is no need to change or reformat the paper.
Submissions to Late-breaking Papers, Posters and Demo Track must be between 2 to 4 pages in length, including references. Submissions to this track must be in Springer LNCS format, according to the Springer LNCS author instructions.
Visit the Important Dates page for the updates on the deadlines. You can modify your submission at any time before the submission deadline:
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.
Submissions are solicited on all aspects of Learning and Reasoning and topics where machine learning is combined with machine reasoning or knowledge representation.
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.
Students Travel Award:
This year, we have subsidised student registration fees to keep them at very reasonable rates. In addition, we are offering Travel Awards to support a limited number of students attending IJCLR 2025. Successful applicants will receive reimbursement of travel costs of up to £500. All students attending IJCLR 2025 are eligible to apply, however, priority will be given to non-local students (e.g., from outside the UK) who have an accepted paper. More information on how to apply will be posted on the website.