Neural networks power critical applications, from autonomous vehicles to medical diagnostics, but their opacity pose significant safety and trust challenges. Formal logical frameworks offer a rigorous path to understand, validate, and trust these models. This workshop aims to bridge the gap between logic and neural network analysis.
We invite contributions that demonstrate how logical frameworks can address core challenges in neural‑network analysis. Topics of interest include the expressivity of logical formalisms for neural networks, the formal verification of safety‑critical properties, the development of interpretation mechanisms grounded in logic, and the assessment of the computational complexity of model behavior.
Submissions can be in three categories:
Submissions should follow the CEURART format. The templare is available here: http://ceur-ws.org/Vol-XXX/CEURART.zip. The proceedings shall be submitted to CEUR-WS.org for online publication. Authors of regular and short papers may opt out of having their work included in the proceedings. Abstracts of already published papers will not be included in the proceedings. We plan to evaluate the possibility of a journal special issue, depending on the outcome of the workshop.
TBA
- Bartosz Bednarczyk, University of Wrocław, Poland
- Isabelle Bloch, Sorbonne Université
- Thomas Bolander, DTU Copenhagen
- Roberto Confalonieri, University of Padua, Italy
- David Tena Cucala, University of Oxford, UK
- Stephane Demri, CNRS, Ecole Normale Supérieure de Paris-Saclay, France
- Avijeet Ghosh, ENS de Lyon, France
- Oliver Kutz, Free University of Bozen-Bolzano, Italy
- Antti Kuusisto, Tampere University, Finland
- Luis Lamb, Federal University of Rio Grande do Sul, Brazil
- Martin Lange, University of Kassel, Germany
- Mena Leemhuis, Free University of Bozen-Bolzano, Italy
- Alessio Lomuscio, Imperial College London, UK
- Carsten Lutz, University of Leipzig, Germany
- Marc Plantevit, EPITA, Lyon, France
- Franco Raimondi, Gran Sasso Science Institute, Italy
- Céline Robardet, INSA Lyon
- Przemysław A. Wałęga, Queen Mary University of London, UK