Apologies for cross-posting. We are pleased to announce a special issue of the Neurosymbolic Artificial Intelligence journal on the topic of "Neurosymbolic Generative Models".
The full call for papers is available at: https://neurosymbolic-ai-journal.com/content/call-papers-special-issue-neurosymbolic-generative-models Key dates: Submission deadline: November 15, 2024 Fast track submission deadline: December 15, 2024 Neurosymbolic Artificial Intelligence is an open access journal published by IOS Press. There are no fees for submission, publication or access to published articles. This special issue aims to bring together cutting-edge research on applying neurosymbolic AI techniques to Deep Generative Models (DGMs), such as large language models. We invite contributions on integrating neural and symbolic approaches to improve the performance, interpretability, and robustness of DGMs. Topics of interest include, but are not limited to: Neurosymbolic approaches for learning and reasoning in DGMs Integration of expert knowledge in learning for DGMs Neurosymbolic AI for improving interpretability and explainability of DGMs Applications of neurosymbolic DGMs in various domains We also welcome survey papers and work on related topics like neural program synthesis for DGMs. SUBMISSION GUIDELINES Full papers and surveys are invited. Submissions must be original and not previously published or under consideration elsewhere. Authors can extend previously published conference/workshop papers (see guidelines for details). Submissions should be made through the journal website: https://neurosymbolic-ai-journal.com/ Please indicate in the cover letter that the submission is for the "Special Issue on Neurosymbolic Generative Models". For any questions, please contact the guest editors at: [email protected] We look forward to your submissions! ------------------------------------------------ Kordjamshidi, Parisa Associate Professor Computer Science and Engineering Michigan State University http://www.cse.msu.edu/~kordjams/ Heterogeneous Learning & Reasoning Lab: https://hlr.github.io/ Woman, Life, Freedom
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