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