4^th International Conference on Information Theory and Machine Learning (ITEORY 2026)

November 14 ~ 15, 2026, Melbourne, Australia

Hybrid Conference - Registered authors can present their work online or face to face

Scope & Topics

4^th International Conference on Information Theory and Machine Learning (ITEORY 2026) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Information Theory. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of Information Theory, Applications and Machine Learning. Authors are also invited to submit research contributions describing significant advances in Computer Science, Engineering and related applications.

Topics of interest include, but are not limited to, the following

• Shannon Theory and Fundamental Limits
• Finite Blocklength and High Dimensional Information Theory
• Network and Multi User Information Theory
• Information Geometry and Divergence Measures
• Advanced Coding, Coded Modulation and Neural Compression
• Sequence Design, Data Compression and Sampling Theory
• Information Theoretic Cryptography and Complexity
• Quantum Information Theory, Quantum Coding and Thermodynamics
• DNA Storage, Genomics and Biological Information Theory
• AI Native Waveform Design and Integrated Sensing Communication
• Semantic and Goal Oriented Communications
• Deep Learning for Communications and Wireless Embodied Intelligence
• Optical, Wireless, IoT and QKD Systems
• Information Theoretic Machine Learning
• Learning, Inference and Bayesian Information Theory
• Information Theory for Generative AI and Diffusion Models
• Multimodal Information Theory and Foundation Model Alignment
• Representation Learning and Information Bottleneck
• Information Theoretic AI Safety, Robustness and Privacy
• Information Theory for Large Language Models (LLMs)
• Information Theory for Foundation Models and Scaling Laws
• Information Theory for RAG and Memory Systems
• Information Theory for Edge Deployed LLMs
• Federated Learning and Federated Foundation Models
• Information Theory for Graph Neural Networks
• Information Theory for Reinforcement Learning
• Information Theory for Neuromorphic and Spiking AI
• Information Theory for Synthetic Data and Data Generation
• Information Theory for Digital Twins and Cyber Physical Systems
• Information Theory for Autonomous and Intelligent Systems
• Information Theory for Time Series and Dynamical Systems

Paper Submission

Authors are invited to submit papers through the conference Submission System by September 12, 2026 . Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published by Computer Science Conference Proceedings in Computer Science & Information Technology (CS & IT) series (Confirmed).

Selected papers from ITEORY 2026, after further revisions, will be published in the special issues of the following journals.

• Machine Learning and Applications: An International Journal (MLAIJ)
• International Journal on Computational Science & Applications (IJCSA)
• International Journal in Foundations of Computer Science & Technology (IJFCST)
• International Journal of Computational Science and Information Technology (IJCSITY)
• International Journal on Information Theory (IJIT)
• Advanced Computational Intelligence: An International Journal (ACII)
• International Journal on Natural Language Computing (IJNLC)
• Information Technology in Industry (ITII)

Important Dates

Submission Deadline : September 12, 2026
Authors Notification : October 17, 2026
Registration & Camera-Ready Paper Due : October 24, 2026

Other Conferences

• CSITAI 2026
• ISTECH 2026
• ITCAU 2026
• MATHCS 2026
• COMSAP 2026
• ACINT 2026
• ENERGY 2026
• CORAJ 2026
• AICIVIL 2026

***** The invited talk proposals can be submitted to iteory@comsap2026.org