Objective
Deep learning methods have propelled many of the recent remarkable achievements of artificial intelligence, yet their inner workings remain enigmatic. How do these methods represent the training examples in their multiple processing layers? How are these representations used to make decisions on previously unseen data? The Correlation-Oriented Representation Learning (CORaL) project delves into the intricate relationship between data correlations and the hidden representations of deep neural networks. CORaL's core objectives encompass: i) characterizing the structure of data correlations in tasks where deep learning methods excel; ii) providing a theoretical description of the interplay between the learning dynamics of deep networks and data correlations; and iii) validating these theoretical insights on benchmark machine-learning datasets. The Researcher will approach these objectives with an effective mix of numerical experiments, scaling descriptions and rigorous arguments, inspired by statistical physics and fostered by the unique interdisciplinary scientific community of SISSA. By describing the impact of data correlations on representation learning, CORaL holds the potential to enhance the interpretability and efficiency of deep learning methods across diverse domains, while also enhancing our general understanding of the principles of learning from examples.
Fields of science (EuroSciVoc)
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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.
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HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA)
MAIN PROGRAMME
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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.
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.
HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships
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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.
(opens in new window) HORIZON-MSCA-2023-PF-01
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
34136 Trieste
Italy
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.