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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | 25 days ago
Bubeck, Yin Tat Lee, and Laurent Massoulié. Optimal convergence rates for convex distributed optimization in networks. Journal of Machine Learning Research, 20:1–31, 2019 [5] Ohad Shamir, Nati Srebro, and
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scales, and require high-dimensional parameterizations. A single high-fidelity simulation of the full system is often too expensive to be used repeatedly, for instance in optimization, uncertainty
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characterization resources whose capacities and performance are at the highest European level. The IEMN is part of the RENATECH network of major technology centers. Frequency-comb lasers are light sources that emit
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30 kHz by a burst laser source combined to two Optical Parametric Oscillators (OPOs) [7] applied on H2/air flame. The optimization of OH and NO excitation strategies and the quantification
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innovative projects that have a major impact on society. Context and contributions of the position: Understanding subsurface fluid flow is crucial for optimizing geothermal systems and mitigating risks such as
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, cultural and professional institution. Member of the Ecoles Centrales group and the Écoles Nationales d’Ingénieurs network,ECL trains high-level generalist engineers, specialized engineers, masters students
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thesis forms part of the Nexus network, which comprises five researchers and three PhD students working on a shared theme: ‘The microbial EXposome and the determinants of persistent infections in humans
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investigate deep learning architectures capable of learning microstructure-property mappings, including convolutional neural networks for microstructure image analysis, graph-based representations
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solutions that maximize operational efficiency, minimize network impacts, and ensure the long-term sustainability of the proposed approaches. The project investigates optimized EV charging strategies aligned
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ABHSSYS (Acoustic Black Holes for Silent SYStems, Grant agreement ID: 101227712) is a European Doctoral Network funded by the Marie Skłodowska-Curie Actions (MSCA), dedicated to advancing innovative