CORDIS Project
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This project aims to enhance the understanding of autoencoders in deep learning by integrating concepts from information theory. It seeks to develop new methodologies for representation learning, bridging theoretical insights and practical applications in machine learning.
Deep learning is an enormously successful recent paradigm with record-breaking performance in numerous applications.
Individual autoencoders (AEs) of a multilayer neural network are trained to convert high-dimensional inputs into low-dimensional codes that allow the reconstruction of the input.
Although some explanations appear to be solidly grounded, there is no mathematical understanding of the AE learning process.
This project is a collaborative endeavor of researchers with strong complemen…
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Canada, Montreal
Type: University / higher education
Activity type: Higher or Secondary Education Establishments
SME: No
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