Connectionists: [CfP] IJCNN2026 - Workshop on Generative AI for Decision-Making
EMANUEL DI NARDO
emanuel.dinardo at uniparthenope.it
Wed Jan 28 10:47:23 EST 2026
[Apologies if you receive multiple copies of this message]
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):
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Generative neural networks
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Score-based, diffusion, and flow-based models
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Generative AI for data-driven decision-making
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Probabilistic and Bayesian generative modeling
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Uncertainty-aware learning and control
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Trustworthy, explainable, and reliable Generative AI
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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):
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Paper submission deadline: 19 April 2026
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Paper review deadline: 04 May 2026
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Acceptance notification: 18 May 2026
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Camera-ready deadline: 06 June 2026
Submission
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Submission guidelines: https://sites.google.com/view/ddm-genai-ijcnn26/instruction-for-authors
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Submission system (Microsoft CMT): https://cmt3.research.microsoft.com/DDMGenAI2026
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
emanuel.dinardo at uniparthenope.it
https://research.emanueldinardo.com
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