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generative models, optimization tasks, or other specific applications. The candidate will work in the context of the project ML-QSIM, a 4-year, 2M€ project funded by the Spanish Government, within a
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the supervisors, with potential avenues including optimization aspects, parameter-efficient adaptation methods, model merging theory, multi-modal continual learning, or adaptation to open-world scenarios. PROJECT
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knowledge. The focus of the project can be defined in collaboration with the supervisor, with potential avenues including optimization aspects, parameter-efficient adaptation methods, model merging theory
Searches related to combinatorial optimization
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