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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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Graph signal processing Autoencoder Emotional facial expressions Asymptotic normality Data fusion Dictionaries Spectral clustering Variational inference Allocation des planches Correlation Computational language documentation Representation learning Closed loop systems Computational Language Documentation Artificial Intelligence Multi-agent systems Eigenvalues and eigenfunctions COVID-19 Remote sensing Classification MRI Neural Networks Automatic speech recognition Dynamic Epistemic Logic Hyperspectral imaging Inverse regression Random matrix theory Dynamic binary translation Cross modality Unsupervised learning Berth allocation Acoustic unit discovery Allocation des postes à quai Discrete event simulation Deep neural network Convolutional Neural Network Convex optimization AI Governance Deep learning DL Feature learning Hyperspectral Deep learning Adaptation models Sequence-to-sequence models Expectation-maximization Attention Dimensionality reduction Concentration of measure Drift Smoothing Dysgraphia Anesthesia Algorithms Delays Laycan allocation Manifold learning Dictionary learning Multispectral Alignment repair 62L20 End-to-end system Audio-visual speech enhancement Fairness Computer ethics Electronic nose Ontology alignment Agent communication Biometrics Air pollution Intelligence artificielle Big data Machine Learning Endmember variability Extended Kalman Filter Adherence Remote sensing RS Output feedback Joint learning Boundary control Alternating direction method of multipliers Machine learning Artificial neural networks Optimal control Semi-supervised learning Europe Autism spectrum disorder Deep Learning Ethics Attention mechanism CPAP Fusion Community detection Artificial Intelligence AI Mathematical model Image processing Artificial intelligence Generative models Language documentation Neural networks Random spanning forests