Authors are invited to submit original papers in PDF format to the submission website (TBD).

📃 Submission Type

The workshop provides a platform to share experimental and theoretical results, present artefacts, demos and datasets, as well as broad discussion or survey papers. Therefore, LoStaN invites researchers and practitioners to submit the following types of contribution:

  1. Full or short papers about approaches involving logic, statistical and neural models, and their combination/integration. Full papers should be limited to 14 pages, while short papers should be limited to 7 pages (excluding references).

  2. Position papers concerning the application of logic, statistical and neural models in specific fields. Position papers should be limited to 7 pages (excluding references).

  3. Survey papers, concerning any of the above. Survey papers should be limited to 14 pages (excluding references).

❗ Preliminary or already-published work can be submitted, provided that the submission is clearly marked as such. ❗

📋 Submission Guidelines

  • Submissions should be in CEUR Workshop Proceedings style;
  • Submissions must be exported in PDF format;
  • Camera-ready versions shall include the LaTeX source files;
  • Submissions are not anonymous (single-blind).

🔬 Topics of Interest

We welcome contributions on theoretical foundations, practical applications, and interdisciplinary approaches combining symbolic, statistical, and neural methods in AI. Topics of interest include, but are not limited to:

  • Integration of logic and statistics into machine learning models

  • Explainable AI (XAI) and interpretable machine learning via symbolic methods

  • Symbolic knoweldge extraction and injection from/into machine learning models

  • Neuro-symbolig approaches to AI

  • Statistical relational learning and probabilistic logic

  • Learning symbolic representations from data

  • Inductive Logic Programming (ILP) and relational learning

  • Causal reasoning and logic-based causal discovery

  • Neuro-symbolic integration and hybrid AI systems

  • Fairness, accountability, and transparency in hybrid AI systems

  • Logic and learning for multi-agent systems

  • Human-centric AI: reasoning, learning, and interaction

  • Deep learning and knowledge extraction

  • Formal methods for the verification of neural networks

  • Benchmarking and evaluation of hybrid AI systems

  • Applications in robotics, natural language understanding, bioinformatics, etc.

  • Toolkits and platforms for integrating logic, statistics, and neural networks

📝 Reviewing Format

Each submission will undergo a traditional single-blind review process. This phase applies to all papers, regardless of type, and will determine the final acceptance or rejection decision.

Accepted contributions are presented at the workshop, and authors may collect further comments and insights.

After that, authors who are willing to publish their contribution to the workshop proceedings will be requested to produce a final version of the paper, addressing the reviewers’ suggestions and possibly integrating comments and insights from the workshop.

All papers will undergo the standard assessment in which reviewers will be asked to consider the submission focusing on its:

  • scope: is the paper on-topic w.r.t. the workshop’s track or theme?
  • significance: is the idea proposed in the paper meaningful for the LoStaN community? Are the results relevant?
  • soundness: is the approach proposed in the paper correct and robust? Are experiments (if any) well-designed?
  • clarity: is the paper clear and well organized? Is the discussion complete?
  • contextualization: is relevant background and related literature being adequately referenced?
  • novelty: is the contribution novel either from a conceptual or technical perspective?

Furthermore, the reviews will take into account the specific characteristics of the submitted contributions (see submission types above) to obtain their final decision.

📖 Proceedings

The workshop will publish its own proceedings onto Scopus-indexed repositories, such as CEUR-WS.

❗ Important note: Accepted papers will be included in the workshop proceedings only if the authors explicitly agree to do so. In this way, works which are not mature enough for publication, as well as works which have already been published elsewhere can be presented and discussed at the workshop.

📖 Special Issue

A selection of the best papers presented at the workshop will be invited to submit an extended version to a special issue in a journal (TBD). We are negotiating with several journals, and we will update this page as soon as we have more information.