Current teams :	ACASA ALMASTY ALSOC APR BD CIAN ComplexNetworks DECISION DELYS LFI MLIA MOCAH MoVe NPA PEQUAN Phare PolSys QI RO SMA SYEL Whisper
Former teams :	AnimatLab MALIRE REGAL SALSA SPI SPIRAL
Former research topics :	ANP APA ASIM CALFOR OASIS RP SPI SRC SYSDEF

Publications MLIA	2014	2015	2016	2017	2018	2019	Total
Books	1	0	0	0	0	0	1
Edited books	0	0	0	0	1	1	2
Journal articles	6	6	6	5	9	6	38
Book chapters	1	0	2	0	0	0	3
Conference papers	19	18	34	19	27	24	141
Habilitations	0	1	0	0	0	0	1
Theses	3	5	3	7	4	7	29

LIP6

• N. Aklil, B. Girard, L. Denoyer, M. Khamassi : “Sequential Action Selection and Active Sensing for Budgeted Localization in Robot Navigation”, International Journal of Semantic Computing, vol. 12 (01), pp. 109-127, (World Scientific) [Aklil 2018]
• Th. Artières, Q. Wang, M. Chen, L. Denoyer : “Adversarial learning for modeling human motion”, Visual Computer, pp. 1-20, (Springer Verlag) [Artières 2018]
• L. DOS SANTOS, B. Piwowarski, L. Denoyer, P. Gallinari : “Representation Learning for Classification in Heterogeneous Graphs with Application to Social Networks”, ACM Transactions on Knowledge Discovery from Data (TKDD), vol. 12 (5), pp. 1-33, (ACM) [DOS SANTOS 2018]
• Th. Durand, N. Thome, M. Cord : “SyMIL: MinMax Latent SVM for Weakly Labeled Data”, IEEE Transactions on Neural Networks and Learning Systems, vol. 29 (12), pp. 6099-6112, (IEEE) [Durand 2018]
• S. Lamprier, Th. Gisselbrecht, P. Gallinari : “Profile-Based Bandit with Unknown Profiles”, Journal of Machine Learning Research, vol. 19 (53), pp. 53:1-53:40, (Journal of Machine Learning Research) [Lamprier 2018]
• A. Lopez‑Rincon, A. Tonda, M. Elati, O. Schwander, B. Piwowarski, P. Gallinari : “Evolutionary optimization of convolutional neural networks for cancer miRNA biomarkers classification”, Applied Soft Computing, vol. 65, pp. 91-100, (Elsevier) [Lopez-Rincon 2018]
• T. Mordan, N. Thome, G. Henaff, M. Cord : “End-to-End Learning of Latent Deformable Part-Based Representations for Object Detection”, International Journal of Computer Vision, (Springer Verlag) [Mordan 2018a]
• T. Postadjian, A. Le Bris, H. Sahbi, C. Mallet : “Classification à très large échelle d'images satellite à très haute résolution spatiale par réseaux de neurones convolutifs”, Revue Française de Photogrammétrie et de Télédétection, vol. 217-218, pp. 73-86, (Société Française de Photogrammétrie et de Télédétection) [Postadjian 2018b]
• W. Zheng, A. Bellet, P. Gallinari : “A Distributed Frank-Wolfe Framework for Learning Low-Rank Matrices with the Trace Norm”, Machine Learning, (Springer Verlag) [Zheng 2018]