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Dear Colleagues,
We would like to invite submissions to the International Workshop on Data-Driven Decision-Making: Uncertainty and Reliable Decision-Making by Generative AI, to be held in conjunction with the International Joint Conference on Neural Networks 2026 (IJCNN 2026), part of WCCI 2026.
Scope
The workshop focuses on reliable and uncertainty-aware Generative AI methods, including probabilistic and Bayesian generative modeling, robustness, calibration, and decision-making applications beyond standard data synthesis. We particularly encourage contributions at the intersection of generative models, uncertainty quantification, and real-world applications.
Topics of interest include (but are not limited to):
Generative neural networks
Score-based, diffusion, and flow-based models
Generative AI for data-driven decision-making
Probabilistic and Bayesian generative modeling
Uncertainty-aware learning and control
Trustworthy, explainable, and reliable Generative AI
Applications of generative models beyond data synthesis
Special Issue Opportunity
Selected accepted papers will be invited to submit an extended version to a forthcoming Special Issue on Generative AI in the journal Information (MDPI).
Important Dates (Anywhere on Earth, UTC-12):
Paper submission deadline: 19 April 2026
Paper review deadline: 04 May 2026
Acceptance notification: 18 May 2026
Camera-ready deadline: 06 June 2026
Submission
We would appreciate it if you could share this call with interested colleagues.
Kind regards,
Emanuel Di Nardo
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Emanuel Di Nardo, PhD
University of Naples Parthenope
Naples, Italy