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

Memo

Scope & Topics 4th 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 area soft Information Theory, Applications and Machine Learning. 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 Computer Science, Engineering and 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 TE 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 August 28, 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 : August 28, 2026 Authors Notification : October 17, 2026 Registration & Camera-Ready Paper Due : October 24, 2026 Contact Us Here’s where you can reach us : This email address is being protected from spambots. You need JavaScript enabled to view it. or This email address is being protected from spambots. You need JavaScript enabled to view it.