SiG-DML_L2: Interpretable Machine Learning |
| Session Type: Lecture |
| Time: Wednesday, August 31, 11:00 - 12:40 |
| Location: Atlantic 3 |
| Session Chair: Nikos Deligiannis, Vrije Universiteit Brussel |
| SiG-DML_L2.1: HYBRID INFERENCE WITH INVERTIBLE NEURAL NETWORKS IN FACTOR GRAPHS |
| Bart van Erp, Bert de Vries, Eindhoven University of Technology, Netherlands |
| SiG-DML_L2.2: LEARNING-BASED SCATTERING TRANSFORM FOR EXPLAINABLE CLASSIFICATION |
| Thomas Mahiout, Laurent Deruaz-Pepin, Thales DMS, France; Lionel Fillatre, Université Côte d'Azur, I3S, France |
| SiG-DML_L2.3: AUTOMATIC SELECTION OF LATENT VARIABLES IN VARIATIONAL AUTO-ENCODERS |
| Emma Jouffroy, CEA - University of Bordeaux- IMS - UMR CNRS 5218, France; Audrey Giremus, Yannick Berthoumieu, University of Bordeaux- IMS - UMR CNRS 5218, France; Bach Olivier, Alain Hugget, CEA, France |
| SiG-DML_L2.4: TOWARDS INTERPRETING DEEP LEARNING MODELS FOR INDUSTRY 4.0 WITH GATED MIXTURE OF EXPERTS |
| ALAAEDDINE Chaoub, Université de Lorraine, Laboratoire Lorrain de Recherche en Informatique et ses Applications, France; Christophe Cerisara, Université de Lorraine, Centre national de la recherche scientifique, Laboratoire Lorrain de Recherche en Informatique et ses Applications, France; Alexandre Voisin, Benoît Iung, Université de Lorraine, Centre national de la recherche scientifique, Centre de Recherche en Automatique de Nancy, France |
| SiG-DML_L2.5: ON INTERPRETABILITY OF CNNS FOR MULTIMODAL MEDICAL IMAGE SEGMENTATION |
| Srdan Lazendic, Jens Janssens, Shaoguang Huang, Aleksandra Pizurica, Ghent University, Belgium |