Every member may be contacted by email (firstname.lastname@lis-lab.fr). See personnal pages or LIS’ website for more contact information.
Faculty staff
Deep learning, representation learning, neural networks
Computer vision, Deep Learning, Multiview learning, XAI, …
High-dimensional clustering, natural language processing
Multiview and multimodal learning, ensemble based methods, bioinformatics
Image processing, sparse estimation, learning with graph, graph kernels
Machine Learning, Kernel Methods, Functional Data Analysis, Quantum Machine Learning
Interface machine learning / cognitive science. Unsupervised representation learning. Perceptual development in infants.
PhD candidates, postdocs
Frugal learning, sparse optimization
Machine learning, study of language in babies
Quantum computing to machine learning
Segmentation, astrophysical image processing
Gradient learning, learning theory, machine learning potentials
Natural sounds representation, generative learning
Former members
Deep learning, Kernel Methods, Model compression
Machine learning applied to Biology, Multiview Classification, Protein-Protein Interaction Networks
Machine learning and neuroscience
Grammatical Inference, Spectral Learning, Formal Languages Theory
Machine learning and auditory perception
Time series
Active learning
NLP, novelty detection, data mining
Interns
L3 informatique, AMU
L3 Informatique, AMU
L3 Informatique, AMU
M2 IA&AA
M2 IA&AA
M2 IA&AA
M2 IA&AA
M2 IA&AA
M2 IA&AA
M1 Informatique
2A Centrale Marseille
2A Centrale Marseille
Master 1 Physique
L2 MPCI
L1 MPCI
L3 MIASHS, AMU
L3 MIASHS, AMU
L3 MIASHS, AMU