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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)."

 

 

Keywords

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

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