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music synthesis system that is trained only on commercially usable data? Can we train a high-quality music synthesis system on a single GPU? 1.3. Considered methods, targeted results and impacts
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disorder. Nowadays, assessment and patient progress are heavily relying on clinical expertise which is costly in terms of time and human resources, while the latest artificial intelligence (AI)-based methods
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methods based on state-space models [3] have demonstrated strong capabilities in modeling very long sequences. In this context, these methods provide the perfect alternative to standard deep learning
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propose to contribute to the optimization of this technology using experimental campaigns integrating new photodetectors, new pixels to measure the charge signal and new information processing methods in
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, addressing this reliability issue is critical to develop synthetic DNA as a large-scale storage medium. 1.3. Considered methods, targeted results and impacts Channel coding is a technique that consists of
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. Considered methods, targeted results and impacts The project will examine this scenario through exploratory methods that include: analysis of the open-data policies at national and local level and of
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scientific/technical context This project aims to develop computational imaging methods for low-field MRI [Arnold2023, Hennig2023]. Its aim is to develop low-cost, portable neuroimaging systems that integrate
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to the set of executing programs. 1.3. Considered methods, targeted results and impacts The main goal of this PhD is the precise definition and efficient enforcement of energy contracts over distributed
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propose to contribute to the optimization of this technology using experimental campaigns integrating new photodetectors, new pixels to measure the charge signal and new information processing methods in
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to problems such as heterogeneity in solutions, high data dependency and low optimality guarantees. 1.3. Considered methods, targeted results and impacts The use of decomposition strategies is proven to be