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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 article was developed in the framework of the MIAI@Grenoble Alpes, supported by the French National Research Agency under the " Investissements d’avenir” program (ANR-19-PIA-0003)."




Inverse regression Parallel distributed SAT Artificial neural networks Linear dynamical system Parallel jobs Variance reduction Feature Selection Partial valuations Resource provisioning and scheduling SCAN Machine learning EASY Dynamic graphs Infinite dimensional systems Multi-agent systems User group Model Order Reduction EKF Network model Anytime clustering User group analytics Nonnegative matrix factorization Mixture models Kalman filter Activity recognition Recurrent variational autoencoders Robust audio-visual speech enhancement Index Terms-Magnetic field gradient Awareness Convex optimization Human tongue Parallel algorithm Data movements Simulation Maximum coverage problem Variational auto-encoder Stochastic optimization Switching state space model Sparse coding Algorithm portfolio Redirection Bayesian inference Inverse problems Structured sparsity Multicore CPUs Image processing Index Terms-Recommendation COVID-19 Raw data Dermoscopy Index Terms-Scheduling Deep learning High Performance Computing Dynamic Epistemic Logic Bi- Objective Optimization Spatial derivatives Backfilling Skin cancer Ontology alignment Variational approximation Edge Few-shot Learning Index Terms-Parameter identification Medical Alignment repair Speech enhancement Digital Twins Quaternion Algorithmes d’ordonnancement Variational expectation-maximization Real-time simulation Subspace KNN Pandemic model Lagrange multiplier Mixture mode Agent communication Melanoma Expectation-maximization Index Terms-deep learning Mobile PHC Online Scheduling Attitude estimation Customer Margin Optimization Patient trajectory prediction Variational inference SAF User data Mouvements de données Obstructive sleep apnea screening Decision trees Image Recognition Naive Bayes Index Terms-Structural graph clustering Generative models Scheduling algorithms Early detection Adjoint method Dermatology

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