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DL-SMSC 2026 : Call for Papers: Workshop on Deep Learning–Enhanced Stochastic Modeling for Complex Systems (April 14–16, 2026 – Istanbul, Türkiye)

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Link: https://sites.google.com/view/dl-smcsworkshop/home
 
When Apr 14, 2026 - Apr 16, 2026
Where Istanbul, Turkey
Submission Deadline Jan 10, 2026
Notification Due Feb 15, 2026
Final Version Due Mar 1, 2026
 

Call For Papers

Dear Colleagues,

We are pleased to invite you to contribute to the International Workshop on Deep Learning-Enhanced Stochastic Modeling for Complex Systems (DL-SMSC 2026), to be held April 14-16, 2026, in Istanbul, Türkiye, in conjunction with the following major conferences:

• 17th International Conference on Ambient Systems, Networks and Technologies (ANT 2026)
• 9th International Conference on Emerging Data and Industry 4.0 (EDI40 2026)

These co-located events provide a prestigious platform for academia and industry to exchange ideas, present novel results, and explore emerging challenges at the intersection of deep learning, stochastic modeling, and complex systems.

About DL-SMSC 2026
The DL-SMSC 2026 Workshop aims to bring together researchers, practitioners, and industry experts interested in the intersection of deep learning and stochastic modeling. The workshop will focus on developing new hybrid models and algorithms capable of capturing uncertainty, randomness, and complex dependencies within dynamic systems.

We invite high-quality, original research papers that explore how deep learning can enhance stochastic modeling techniques in various scientific and engineering domains, including physics, biology, finance, climate, and artificial intelligence.

Topics of Interest
• Deep neural networks for stochastic differential equations (SDEs)
• Deep generative models for probabilistic simulations
• Bayesian deep learning for uncertainty quantification
• Hybrid models combining neural networks and diffusion processes
• Reinforcement learning in stochastic control problems
• Data-driven modeling of random processes
• Monte Carlo and Markov Chain Monte Carlo (MCMC) methods enhanced by deep learning
• Applications in physics, biology, climate, finance, and engineering
• Theoretical analysis of deep stochastic models

Publication and Indexing
All accepted papers will be published by Elsevier as open access in the Procedia Computer Science series, available worldwide via ScienceDirect. The proceedings will be indexed in Scopus, EI/Compendex, CPCI, and DBLP, ensuring broad academic visibility.

Important Dates
• Paper submission deadline: January 10, 2026
• Notification of acceptance: February 15, 2026
• Camera-ready submission: March 1, 2026
• Author registration deadline: March 5, 2026
• Workshop dates: April 14–16, 2026

Submission details and guidelines are available on the workshop website:
https://sites.google.com/view/dl-smcsworkshop/home

We look forward to your valuable contributions and participation in DL-SMSC 2026, held alongside ANT 2026 and EDI40 2026 in the inspiring city of Istanbul, Türkiye.

Best regards,
The DL-SMSC 2026 Workshop Organizing Committee

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