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<i>[Apologies if you receive multiple copies of this message]</i></div>
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Dear Colleagues,</div>
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We would like to invite submissions to the <b>International Workshop on Data-Driven Decision-Making: Uncertainty and Reliable Decision-Making by Generative AI</b>, to be held in conjunction with the <b>International Joint Conference on Neural Networks 2026
(IJCNN 2026)</b>, part of <b>WCCI 2026</b>.</div>
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<b>Venue</b>: Maastricht, The Netherlands<br>
<b>Dates</b>: June 21–26, 2026<br>
<b>Website</b>: <a href="https://sites.google.com/view/ddm-genai-ijcnn26/">https://sites.google.com/view/ddm-genai-ijcnn26/</a></div>
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<b>Scope</b><br>
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.</div>
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<b>Topics of interest include (but are not limited to):</b></div>
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<div role="presentation" style="margin-top: 1em; margin-bottom: 1em;">Generative neural networks</div>
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<div role="presentation" style="margin-top: 1em; margin-bottom: 1em;">Score-based, diffusion, and flow-based models</div>
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<div role="presentation" style="margin-top: 1em; margin-bottom: 1em;">Generative AI for data-driven decision-making</div>
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<div role="presentation" style="margin-top: 1em; margin-bottom: 1em;">Probabilistic and Bayesian generative modeling</div>
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<div role="presentation" style="margin-top: 1em; margin-bottom: 1em;">Uncertainty-aware learning and control</div>
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<div role="presentation" style="margin-top: 1em; margin-bottom: 1em;">Trustworthy, explainable, and reliable Generative AI</div>
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<div role="presentation" style="margin-top: 1em; margin-bottom: 1em;">Applications of generative models beyond data synthesis</div>
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<b>Special Issue Opportunity</b><br>
Selected accepted papers will be invited to submit an extended version to a forthcoming <b>Special Issue on Generative AI</b> in the journal <i>Information</i> (MDPI).</div>
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<b>Important Dates (Anywhere on Earth, UTC-12):</b></div>
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<div role="presentation" style="margin-top: 1em; margin-bottom: 1em;">Paper submission deadline: <b>19 April 2026</b></div>
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<div role="presentation" style="margin-top: 1em; margin-bottom: 1em;">Paper review deadline: <b>04 May 2026</b></div>
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<div role="presentation" style="margin-top: 1em; margin-bottom: 1em;">Acceptance notification: <b>18 May 2026</b></div>
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<div role="presentation" style="margin-top: 1em; margin-bottom: 1em;">Camera-ready deadline: <b>06 June 2026</b></div>
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<b>Submission</b></div>
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<div role="presentation" style="margin-top: 1em; margin-bottom: 1em;">Submission guidelines: <a href="https://sites.google.com/view/ddm-genai-ijcnn26/instruction-for-authors">https://sites.google.com/view/ddm-genai-ijcnn26/instruction-for-authors</a></div>
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<div role="presentation" style="margin-top: 1em; margin-bottom: 1em;">Submission system (Microsoft CMT): <a href="https://cmt3.research.microsoft.com/DDMGenAI2026">https://cmt3.research.microsoft.com/DDMGenAI2026</a></div>
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We would appreciate it if you could share this call with interested colleagues.</div>
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Kind regards,</div>
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Emanuel Di Nardo</div>
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<div>------</div>
<div><b>Emanuel Di Nardo, PhD</b></div>
<div>University of Naples Parthenope</div>
<div>Naples, Italy</div>
<div>emanuel.dinardo@uniparthenope.it</div>
<div>https://research.emanueldinardo.com</div>
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