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) Master degree in computer science or mathematics. Good knowledge in at least one of the broad areas of the proposal (graph theory/combinatorics, algorithms/complexity) is required. Previous experience in
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model theory, in particular for elasto-visco-plasticity, and thermodynamics of materials will be an asset. Project description Supervisor: Laurent STAINIER Keywords: Data-Driven Computational Mechanics
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approach combining symbolic reasoning with generative neural networks. The goal is to exploit and develop the existing theory on debate and argumentation, and develop a prototype of a debating conversational
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/10.1016/j.cviu.2024.104275 [2] Ikram Kourbane, Panagiotis Papadakis, Mihai Andries, Optimized Assessment of Physical Rehabilitation Exercises using Spatiotemporal, Sequential Graph-Convolutional Networks