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