Skip to Main content Skip to Navigation

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)."



Derniers dépôts

Chargement de la page




Number of fulltext


Number of reference



France Ethics Artificial Intelligence Hyperspectral image Discrete event simulation Laycan allocation Random matrix theory Dimensionality reduction ISM molecules MRI Emotional facial expressions Correlation Language documentation Alternating direction method of multipliers Neural networks Allocation des postes à quai Attention mechanism LawEnforcement 62L20 Light detection and ranging LiDAR Task analysis Hyperspectral images Attention Hyperspectral Community detection Extended Kalman Filter Artificial neural networks Generative models Sequence-to-sequence models Dictionaries Low-resource languages Semantic segmentation Hyperspectral image unmixing COVID-19 Multispectral Audio-visual speech enhancement Delays ISM clouds Deep neural network Closed loop systems Representation learning Adaptation models Acoustic unit discovery Convolutional Neural Network Deep Learning Cross modality Machine Learning Indoor navigation Asymptotic normality Deep learning DL Feature learning Spectral unmixing Fusion Fairness Endmember variability Allocation des planches Machine learning Remote sensing RS Autoencoder Random spanning forests Deep learning Artificial intelligence Computational language documentation Remote sensing Eigenvalues and eigenfunctions Concentration of measure Unsupervised learning Mathematical model Manifold learning Joint learning Europe AI Governance Biometrics Variational auto-encoder Data fusion Intraoperative ultrasound Hyperspectral HS Big data Gestion portuaire Lower complexity bounds Dynamic binary translation Berth allocation LiDAR Stochastic approximation Kernel methods Convex optimization Internal Security High-dimension Anesthesia Inverse regression Classification Image fusion Smoothing Spectral clustering Graph signal processing Speech enhancement Dynamic Epistemic Logic Hyperspectral imaging Image processing Infinite-dimensional systems