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). Complex visual anomalies are: (1) logical defects where models must detect and verify the relative positioning logic between different objects or entities within the scene. Examples include checking
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consensus. The successful candidate will develop the algorithmic foundations of this framework—making the motion-generation stack modular and heterogeneous (combining model-based control with learning-based
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limitations de [1]. [1] Delfosse, Zémor, Correction of circuit faults in a stacked quantum memory using rank-metric codes, arXiv:2411.09173. [2] Aragon, Gaborit, Hauteville, Ruatta, Zémor, Low Rank Parity Check
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susceptibility to foodborne TBE using mouse models. Learn more about our lab: https://research.pasteur.fr/en/team/mouse-genetics-immunity-and-infections/ Project: Identification of host genetic factors controlling
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particle validation; (2) the robustness of learning models, which is strongly dependent on data quality, representativeness and evolution, particularly with the emergence of new ammunition types and lead
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technologies. LIST bridges scientific excellence and applied research to design solutions that address real-world challenges and create positive impact. Do you want to know more about LIST? Check our website
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experts on network monitoring, data management, algorithms, AI, modeling, microbiology, ethics and industrial partners, and by participating in a specifically designed training programme, they will develop
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, modeling, microbiology, ethics and industrial partners, and by participating in a specifically designed training programme, they will develop the required cross competencies to find, test and innovate over a
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The detection of out-of-distribution (OoD) samples is crucial for deploying deep learning (DL) models in real-world scenarios. OoD samples pose a challenge to DL models as they are not represented