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