Objective
Information theory guides research in communication engineering and settle its theoretical limits. Advances in machine learning generative modelling have proven useful in providing state-of-the-art results in channel coding, one of the disciplines in information theory. The objective of this Marie Curie Fellowship proposal is to explore to what extent new algorithms in approximate inference for generative models can be beneficial not only to channel coding, but also to other information theory issues. In the last couple of years, there have been significant advances in solving the approximate inference problem in graphical models with loops.
These algorithms improve the approximation function and divergence measure of belief propagation, the algorithm use d to address the channel-coding problem. Moreover, most communication problems (i.e. source coding, channel coding, equalisation, multiple access) can be expressed as inference problems in graphs with loops. Hence, the application of belief propagation extensions to information theory is a natural research direction that can benefit the description of communications systems.
In this Fellowship we will focus on applying these extensions to open problems in information theory. Furthermore, we expect to draw conclusions about the performance of these approximate inference algorithms and improve them to meet our goals. The multidisciplinary nature of this fellowship proposes advances in information theory and machine learning.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences computer and information sciences artificial intelligence generative artificial intelligence
- natural sciences computer and information sciences artificial intelligence machine learning
- engineering and technology electrical engineering, electronic engineering, information engineering information engineering telecommunications
- natural sciences computer and information sciences artificial intelligence computational intelligence
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
FP6-2005-MOBILITY-6
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Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
OIF - Marie Curie actions-Outgoing International Fellowships
Coordinator
GETAFE (MADRID)
Spain
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.