The 2nd International Workshop on Certainty in Uncertainty: Exploring Probabilistic Approaches in AI (CIU2024²); another DEXA workshop; explores state-of-the-art probabilistic models in AI, highlighting their essential role in making robust decisions under uncertainty. AI systems are increasingly used in critical decision-making across various sectors and have to reason accurately amidst uncertainty, providing reliable support in fields where inaccuracies could have severe consequences.

Submission Guidelines

All papers must be original and not simultaneously submitted to another journal or conference. The following paper categories are welcome:

• Full/Regular paper submissions about original work not exceeding 10 pages.
• Short paper submissions on recent or ongoing work on relevant topics and ideas not exceeding 5 pages.

List of Topics

• Probabilistic Modelling and Reasoning: Probabilistic machine learning methods that are used in a wide range of different fields with a focus on probabilistic graphical models.
• Causal Inference and Discovery: Methodologies for identifying causal relationships from data. This includes algorithmic approaches, challenges and implications of causal discovery and causal inference.
• Cutting-edge Probabilistic Models: Latest state-of-the-art models such as (Deep) Variational Autoencoders (VAEs), Generative Adversarial Networks (GANs), Deep Boltzmann Machines, Deep Belief Networks, Bayesian Neural Networks, Deep Markov Models.
• Domain-Specific Applications: Submissions that cover the practical applications of probabilistic models in diverse fields such as industry, medicine, and more, showcasing real-world examples.

Committees

Organizing Committee

• Anna Christina Glock, Software Competence Center Hagenberg, Austria
• David Baumgartner, Norwegian University of Science and Technology & ProbAI, Norway
• Michael Mayr, Software Competence Center Hagenberg, Austria
• Sabrina Luftensteiner, Software Competence Center Hagenberg, Austria

Program committee

• Please refer to our website https://www.dexa.org/CIU2024

Publication

All accepted CIU2024² papers will be published by Springer in their Communications in Computer and Information Science (CCIS). CCIS volumes are indexed in Scopus; EI Engineering Index; Google Scholar; DBLP; etc. and submitted for indexing in the Conference Proceedings Citation Index (CPCI), part of Clarivate Analytics’ Web of Science.

Venue

The conference will be held in University of Naples Federico II, Naples, Italy 

Contact

All questions about submissions should be emailed to dexa@iiwas.org