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ITEORY 2026: International Conference on Information Theory and Machine Learning

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ITEORY
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Submission Date:
2026-08-15
Notification Date:
2026-10-17
Conference Date:
2026-11-14
Location:
Melbourne, Australia
Years:
4
Viewed: 476   Tracked: 0   Attend: 0

Conference Partner Index (CP-I)

42.6 / 100
Ranked #3,916 of 5,650 conferences · Top 70%

#116 of 138 in Theory & Algorithms #499 of 735 in Artificial Intelligence & Machine Learning

Academic recognition (35%) No data - scored at the neutral baseline of 50
Submission selectivity (20%) No data - scored at the neutral baseline of 50
Editions held (20%)
43
Community attention (10%)
12
Public record completeness (15%)
35

Inputs used: Editions on record: 4 · Researchers who opened this page in the past 24 months: 4

Missing from the public record: Historical acceptance rates (+4.5) · Past editions (+3.0) · Best-paper records (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 45% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-09-06

Call For Papers

ITEORY 2026 (International Conference on Information Theory and Machine Learning) is an academic conference held in Melbourne, Australia on 2026-11-14. The paper submission deadline is 2026-08-15. Acceptance notifications are sent on 2026-10-17.

Scope 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: Big Data Analytics, Data Science Coded Modulation, Data Compression, Sequences Communications and Networks Deep Learning for Communications Detection and Estimation of Mobile Communications Emerging Applications of Information Theory Information Theory in Statistics , Biology, Computer Science Learning and Inference Machine Learning Multi-User Information Theory Optical Communications Complexity and Cryptography Pattern recognition and Learning Quantum Theory and Coding Shannon Theory, Coding Theory and Techniques Signal Processing, Speech/Image Coding
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