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897 documents correspondants.
Document numérisé par la Bibliothèque nationale de France, publié en 1519. Thème : atlas. Consultable en ligne sur Gallica.
Document numérisé par la Bibliothèque nationale de France, publié en 1519. Thème : atlas. Consultable en ligne sur Gallica.
Document numérisé par la Bibliothèque nationale de France, publié en 1519. Thème : atlas. Consultable en ligne sur Gallica.
Document numérisé par la Bibliothèque nationale de France, publié en 1543. Thème : atlas. Consultable en ligne sur Gallica.
Document numérisé par la Bibliothèque nationale de France, publié en 1550. Thème : atlas. Consultable en ligne sur Gallica.
Document numérisé par la Bibliothèque nationale de France, publié en 1558. Thème : atlas. Consultable en ligne sur Gallica.
Personalization is essential for general-purpose robots to transition into household environments and achieve true practicality. While general robotic manipulation has been extensively studied, personalized robotic manipulation (PeRM) lacks a controlled benchm...
Significant efforts are currently being directed toward the implementation of large-scale quantum information processors, but realizing useful quantum advantage also requires the development of efficient quantum algorithms. While for many practical problems th...
Predicting how the world responds to an action requires more than what can be seen: robots must account for environmental factors that are neither directly observable nor explicitly specified, from physical properties such as friction and mass to human-defined...
Generative simulation can automate robot environment construction, but physically valid environments are not necessarily useful for training. The challenge is to identify environments that address a policy's failures and supervision that helps it overcome them...
Generative visual verifiers play a crucial role in advancing multimodal intelligence. To enhance the robustness of visual verifiers in complex multimodal scenarios involving compositional requirements, we move beyond conventional binary verifiers that produce...
Mixture-of-experts (MoE) models have become an important approach for scaling model parameters. Modern MoE architectures increasingly combine two design choices: fine-grained expert segmentation and shared experts. The former increases expressiveness by enabli...