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structures, spectra) within foundation models. The postdoctoral researcher will design innovative "tokenization" strategies to integrate these non-linguistic data types into Transformer-based architectures
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 20 days ago
and fine-grained semantic information within the prompts, and assess geometric accuracy of corresponding models' answers. If necessary, we will then propose dedicated learning strategies for inducing
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and Machine Learning, with a focus on studying geometric structures in data and models and how to leverage such structure for the design of efficient machine learning algorithms with provable guarantees
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-metallic materials by an electron beam Main ideas of the proposed dissertation topic: The aim is to create a geometric, mathematical, and simulation model for the ANSYS program. The geometric model will be
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equations of motion via Hamilton's principle; theories of waves, instabilities, turbulence, and circulation; waves and mean flow interactions; and novel methods for ocean numerical models. - Formulate
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ideal model for this question: it encompasses the full range of mammalian motor demands yet operates in a geometrically simple 2D space, making it uniquely tractable for quantitative modeling
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the standard cosmological model. Confirming and accurately characterizing this discrepancy could point towards new physics beyond the standard cosmological framework. This thesis aims to develop and assess a new
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have an edge between two nodes if the corresponding objects intersect. Such graphs have been used, for instance, to model sensor networks. Geometric intersections graphs are a generalization of planar
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the effects of sealing, axial loading, geometric singularities and the presence of possible localised defects. A second one will focus on numerical modelling in order to link the measured observables
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, multimodal, and agentic AI, as well as foundation models, with a focus on geometric deep learning, large-scale knowledge graphs, and large language models. Fellows will also have the opportunity to apply