CFP: IJCNN 2026 Workshop on Generative AI for Decision-Making

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.
Venue: Maastricht, The Netherlands
Dates: June 21–26, 2026
Website: https://sites.google.com/view/ddm-genai-ijcnn26/
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,
Angelo Casolaro
PhD Candidate in Artificial Intelligence
University of Naples Parthenope
Naples, Italy

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