<div dir="ltr"><div><div><div style="font-size:small" class="gmail_default">Apologies for cross-posting</div></div><div><br></div><div>First<span class="gmail-Apple-converted-space"> </span><b>Workshop on Logic Statistical and Neural AI</b><span class="gmail-Apple-converted-space"> </span>(<span class="gmail-il">LoStaN</span>), co-located with<span class="gmail-Apple-converted-space"> </span><a href="https://viam.science.tsu.ge/jelia2025/" rel="noopener noreferrer" target="_blank">JELIA 2025</a><span class="gmail-Apple-converted-space"> </span>on September 2-3, 2025 Kutaisi, Georgia.</div>website:<span class="gmail-Apple-converted-space"> </span><a href="https://lostan-workshop.github.io/2025/" rel="noopener noreferrer" target="_blank">https://<span class="gmail-il">lostan</span>-workshop.github.io/2025/</a><br><br><span aria-label=""></span><b>Important dates:</b><br>- Paper submission deadline:<span class="gmail-Apple-converted-space"> </span><b>July </b><del>11th</del><span class="gmail-Apple-converted-space"> </span><strong>20th</strong>, 2025, AoE<br>- Author Notification:<span class="gmail-Apple-converted-space"> </span><b>July </b><span class="gmail-Apple-converted-space"> </span><del>25th</del><span class="gmail-Apple-converted-space"> </span><strong>30th</strong>, 2025, AoE<br>- Workshop Date: September 2-3, 2025,<span aria-label=""></span><b><br><br>Topics of Interest:</b><br>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:<br><span aria-label=""><br></span>- Integration of logic and statistics into machine learning models<br>- Explainable AI (XAI) and interpretable machine learning via symbolic methods<br>- Symbolic knoweldge extraction and injection from/into machine learning models<br>- Neuro-symbolig approaches to AI<br>- Statistical relational learning and probabilistic logic<br>- Learning symbolic representations from data<br>- Inductive Logic Programming (ILP) and relational learning<br>- Causal reasoning and logic-based causal discovery<br>- Neuro-symbolic integration and hybrid AI systems<br>- Fairness, accountability, and transparency in hybrid AI systems<br>- Logic and learning for multi-agent systems<br>- Human-centric AI: reasoning, learning, and interaction<br>- Deep learning and knowledge extraction<br>- Formal methods for the verification of neural networks<br>- Benchmarking and evaluation of hybrid AI systems<br>- Applications in robotics, natural language understanding, bioinformatics, etc.<br>- Toolkits and platforms for integrating logic, statistics, and neural networks<span aria-label=""></span><b><br><br>Call for paper:</b><br><div>We invite the following types of contribution:<span aria-label=""></span></div><div><ol><li style="margin-left:15px"> <b><i>Full</i></b><span class="gmail-Apple-converted-space"> </span>or<span class="gmail-Apple-converted-space"> </span><b><i>short</i></b><span class="gmail-Apple-converted-space"> </span>papers about approaches involving logic, statistical and neural models, and their combination/integration.Full papers should be limited to<span class="gmail-Apple-converted-space"> </span><b><i>14 pages</i></b>, while short papers should be limited to<span class="gmail-Apple-converted-space"> </span><b><i>7 pages</i></b><span class="gmail-Apple-converted-space"> </span><i>(excluding references)</i>.</li><li style="margin-left:15px"> <b><i>Position papers</i></b><span class="gmail-Apple-converted-space"> </span>concerning the application of logic, statistical and neural models in specific fields. Position papers should be limited to<span class="gmail-Apple-converted-space"> </span><b><i>7 pages</i></b><i>(excluding references)</i>.</li><li style="margin-left:15px"><b><i>Survey papers</i></b>, concerning any of the above. Survey papers should be limited to<span class="gmail-Apple-converted-space"> </span><b><i>14 pages</i></b><span class="gmail-Apple-converted-space"> </span><i>(excluding references)</i>.<span class="gmail-Apple-converted-space"> </span><br></li></ol>Preliminary or already-published work can be submitted, provided that the submission is clearly marked as such. </div><div>Authors are invited to submit original papers in PDF format<span class="gmail-Apple-converted-space"> </span><a href="https://openreview.net/group?id=JELIA/2025/Workshop/LoStaN" rel="noopener noreferrer" target="_blank">here</a>.</div><div><b><br></b></div><div><b>Organizers:</b></div>-<span class="gmail-Apple-converted-space"> </span><a aria-haspopup="menu" href="mailto:umili@diag.uniroma1.it" rel="noopener noreferrer" target="_blank">Elena Umili<span aria-label="(si apre in una nuova scheda)"></span></a>, Sapienza University of Rome, Italy<br>-<span class="gmail-Apple-converted-space"> </span><a aria-haspopup="menu" href="mailto:f.sabbatini1@campus.uniurb.it" rel="noopener noreferrer" target="_blank">Federico Sabbatini<span aria-label="(si apre in una nuova scheda)"></span></a>, University of Urbino, Italy<br>-<span class="gmail-Apple-converted-space"> </span><a aria-haspopup="menu" href="mailto:giovanni.ciatto@unibo.it" rel="noopener noreferrer" target="_blank">Giovanni Ciatto<span aria-label="(si apre in una nuova scheda)"></span></a>, University of Bologna, Italy<br>-<span class="gmail-Apple-converted-space"> </span><a aria-haspopup="menu" href="mailto:matteo.magnini@unibo.it" rel="noopener noreferrer" target="_blank">Matteo Magnini<span aria-label="(si apre in una nuova scheda)"></span></a>, University of Bologna, Italy<br>-<span class="gmail-Apple-converted-space"> </span><a aria-haspopup="menu" href="mailto:lesperan@yorku.ca" rel="noopener noreferrer" target="_blank">Yves Lesperance<span aria-label="(si apre in una nuova scheda)"></span></a>, York University, Canada<span aria-label=""></span>For any questions, please do reach out to the organizers.<br clear="all"></div><div><br></div><span class="gmail_signature_prefix">-- </span><br><div dir="ltr" class="gmail_signature" data-smartmail="gmail_signature"><div dir="ltr">Fabio Patrizi<div>Associate Professor<br><div>Dipartimento di Ingegneria informatica, automatica e gestionale "A. Ruberti"</div><div>Sapienza Università di Roma</div><div>Room B214</div><div>Via Ariosto, 25 - 00185 Rome, Italy</div><div>Phone: +39 06 77274073</div><div>Home Page: <a href="http://www.diag.uniroma1.it/patrizi" target="_blank">www.dis.uniroma1.it/patrizi</a></div></div></div></div></div>