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MIAI Grenoble Alpes (Multidisciplinary Institute in Artificial Intelligence) aims to conduct research in artificial intelligence at the highest level, to offer attractive courses for students and professionals of all levels, to support innovation in large companies, SMEs and startups and to inform and interact with citizens on all aspects of AI.

The activities of MIAI Grenoble Alpes are structured around two main themes : future AI systems and AI for human beings the environment.

Instructions to authors: If your research work has been supported by the MIAI Grenoble Alpes, please mention in your article:  "This work has been partially supported by MIAI@Grenoble Alpes, (ANR-19-P3IA-0003)."



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Agent generation Laser radar Spectral clustering Optimal control Data models Graph signal processing Dictionaries Measurement Artificial Intelligence Data fusion Community detection Spatial resolution Audio-visual speech enhancement Convolutional neural networks Hyperspectral image Laycan allocation Optimization Speech synthesis Stochastic approximation Tensors Ethics Algorithms Pansharpening Endmember variability 62L20 Alignment repair AI Governance Representation learning Artificial intelligence Learning systems Image reconstruction Anesthesia Automatic speech recognition Computer architecture Deep learning Multispectral Kernel methods Hyperspectral Language documentation Correlation Inverse regression Dynamic Epistemic Logic Deep learning DL Deep Learning Training Big data Hyperspectral imaging Remote sensing Allocation des planches Detectors Image fusion Data mining Neural networks Machine Learning Random matrix theory Europe Speech production Computational language documentation Infinite-dimensional systems Mathematical model Kernel Classification Knowledge diversity Remote sensing RS Generative models Nonsmooth optimization Convex optimization Intelligence artificielle Variational inference Neural Networks Dimensionality reduction Adherence Multi-agent systems Fusion Allocation des postes à quai Machine learning COVID-19 Alternating direction method of multipliers Dynamic binary translation Online learning Air pollution Dysgraphia Biometrics Ontology alignment Task analysis Adaptation models Acoustic unit discovery Innovation Image processing Unsupervised learning Feature extraction Joint learning Semi-supervised learning Manifold learning Agent communication Sequence-to-sequence models Convolution Estimation MRI Fairness