Category: News
Welcome Thomas Schatz!
New Springer Machine Learning paper : QuicK-means: Acceleration of K-means by learning a fast transform, by L. Giffon et al.
Two papers accepted at IJCNN’21
[recruitment over] PhD position @Qarma: Frugal Models and Algorithms for Machine Learning
Open PhD position in AI with Univ. Lyon and Qarma
Poste de Professeur en Informatique profil apprentissage automatique et ses applications
New IEEE JSTSP paper on time-frequency fading by Marina Kreme et al.
New paper: Intersection of ML and developmental biology – a review by Paul Villoutreix
New paper accepted at JMLR: Entangled Kernels — Beyond Separability, by R. Huusari and H. Kadri
Poste de Maître de Conférences en Apprentissage Automatique
Open postdoc position @Qarma
Seven master internship positions at Qarma
New paper accepted at Quantum Machine Intelligence: Quantum Bandits, by B. Casalé, G. Di Molfetta, H. Kadri, L. Ralaivola
New paper accepted at ICML’20: Partial Trace Regression and Low-Rank Kraus Decomposition, by H. Kadri, S. Ayache, R. Huusari, A. Rakotomamonjy, L. Ralaivola
New paper accepted at CAp’20: Pruning Random Forest with Orthogonal Matching Trees, by L. Giffon, C. Lamothe, L. Bouscarrat, P. Milanesi, F. Cherfaoui, S. Koço
One open PhD position at Qarma funded by ANR IA program and Imaging Institute
Two open PhD positions at Qarma funded by ANR IA program and Archimede Institute
Akrem Sellami has got a paper accepted at IJCNN 2020: Mapping individual differences in cortical architecture using multi-view representation learning
The Qarma team has now a twitter account
L’IMéRA organise un Workshop sur le thème: “Intelligence and Artificial intelligence”
Qarma propose une formation: Fondamentaux du Machine Learning et Deep Learning
Conférence MachineLearning@LIS
Research engineer (4 years) on Machine Learning at the Institute on Language, Communication and the Brain (ILCB)
Few master internship offers on deep learning
Full Professor position@Qarma
Master internship offer: unsupervised learning for image recognition.
Master internship offer: learning fast transforms
IA et musique: présentations d’articles scientifiques (8/11/2019)
Riikka Huusari will defend her PhD. on 7th of November: Kernel learning for structured data: A study on learning operator- and scalar-valued kernels for multi-view and multi-task learning problems
Interview of Cécile Capponi, Ambassadrice 2019 of Fête de la Science
One paper accepted at NeurIPS 2019: “Unsupervised Object Segmentation by Redrawing” by Chen et al.
“Théorie du deep learning”, Paris, Oct. 17 2019.
Internship: Machine Learning methods for image-based studies of experimental immunology
Riikka Huusari has got a paper accepted at IJCAI 2019: Entangled Kernels
QuantML and UnLIR : 2 ANR projects accepted
Cécile Capponi presents Machine Learning research in Biology at the Centuri Seminar
QARMA teaches Python and Machine Learning
Qarma organizes a Workshop on Machine Learning and Quantum Computation
Luc rencontre les Petits Débrouillards de Marseille pour présenter le jeu Shifumi-AI et le travail de doctorant
Qarma co-organizes the ECML’2019 workshop on Data and Machine Learning Advances with Multiple Views : Call for datasets and papers is open until 07th of june !
Two works accepted at CAp’2019: Cross-View Kernel Transfer by Riikka Huusari et al., and Fast C-bound greedy minimization with guarantees on generalization by Baptiste Bauvin et al.
Paper accepted at IEEE Trans. on Information Theory: Recovery and convergence rate of the Frank-Wolfe Algorithm for the m-EXACT-SPARSE Problem, by F. Cherfaoui et al.
Bandits on partially ordered sets @France is AI (video, Liva talks about his work with Julien Audiffren)
What happens when AI fails? (Video, Liva@Hello Tomorrow)
Luc Giffon has got a paper accepted at the IJCNN Conference: “Deep Networks with Adaptive Nyström Approximation”
Qarma has been selected by Amidex for the project BigSF
We are looking for a Ph.D. candidate for a thesis on multi-view learning with big astrophysics databases
