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learning community. Basically, once the observed data is identified with a probability distribution (possibly the empirical mass function), optimal transport allows to consistently assess the similarity
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acoustic pressure along the fiber, over distances ranging from 40 km to 140 km with some systems. This technique, called Distributed Acoustic Sensing (DAS), is currently experiencing growing interest in
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transcripts of a master’s degree(s) or equivalent • At least, one letter of recommendation • Internship report, if possible Description of the topic: Change-point detection (CPD) is a fundamental problem in
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of the scientific publications • Motivation letter • Letter of recommendation of the thesis supervisor Description of the topic: Change-point detection (CPD) is a fundamental problem in statistics and machine
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data-silos, like hospitals that cannot share their patients' data [4]. Research goal: One of the main scientific challenges of FL, in comparison to other forms of distributed learning, is statistical
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. Processing this response provides estimates of the local variations in acoustic pressure along the fiber, over distances ranging from 40km up to 140km with some systems. This technique, called Distributed
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the ability of neural networks to learn unknown posterior distributions distributions. Their use in the field of image microscopy, however, remains limited. The purpose of this PhD thesis is to develop
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fields for several applications in the field of computer vision and inverse problem [SLX+21]. As far as the modeling of data term between distributions is concerned, one idea would be also to follow
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on personal vehicles. This dependency not only places significant financial stress on suburban households but also has a substantial environmental impact. Autonomous transportation is a viable solution as it
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machines unlearn. In everyday life, disassociating memories is essential—letting us move on from fears, mistakes, or outdated beliefs. However, how memory systems in our brains achieve this, remains unclear