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based on a low-dimensional decomposition of empirical covariance matrices, without relying on data projections. Furthermore, we provided a closed-form expression for the Monge map, which involves
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exploration of the domain, as well as persistence theory. Additionally, we aim to extend the concept of saliency maps [1][2], used in 2D image analysis, to the 3D context. We will investigate the use
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, France [map ] Subject Areas: Physics / theoretical astroparticle physics , Biophysics , Field Theory , Statistical physics , String Theory , theoretical condensed matter physics , Theoretical Particle
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., cores, memory hierarchy, accelerators, interconnects) and software-level decisions (e.g., task mapping, scheduling, compiler optimizations), which together lead to a combinatorial explosion of possible
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simulation of the drosophila larva body, allowing motion to be simulated directly from a Hill model of muscle activity. We will first use simulation-based inference to map muscle activity onto larva behaviour
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[map ] Subject Area: Mathematics for Neurosciences Appl Deadline: 2025/11/30 11:59PM (posted 2025/05/04, listed until 2025/11/30) Position Description: Position Description The J. A. Dieudonné research
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information into adulthood, and influence the risk of developing diseases after birth. To address these questions, we will combine our expertise in fate mapping models, single cell technologies and tissue
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multiple tensor modeling: Several data modalities, including invasive (intracardiac electrograms, electroanatomic maps) and noninvasive (ECG, echocardiography), are acquired in the management of persistent
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been inaccessible. FL is currently used by many big data companies (e.g., Google, Apple, Facebook) for learning on their users' data, but we envision also promising applications to learning across large