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