Adrien Halnaut

I am currently a PhD student at LaBRI, in France, under the supervision of David Auber and Romain Giot. My research is related to the development of visualization tools to assist experts and non-experts in understanding the inner workings of deep neural networks (XAI).

Links

Publications

A. Halnaut, R. Giot, R. Bourqui, D. Auber. Deep Dive into Deep Neural Networks with Flows. Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020): IVAPP, Feb 2020, Valletta, Malta. pp.231-239.

Link to Demo


A. Halnaut, R. Giot, R. Bourqui, D. Auber. Samples Classification Analysis Across DNN Layers with Fractal Curves. ICPR 2020's Workshop Explainable Deep Learning for AI, Jan 2021, Milano (virtual), Italy.


A. Halnaut, R. Giot, R. Bourqui, D. Auber. VRGrid: Efficient Transformation of 2D Data into Pixel Grid Layout. 26th International Conference Information Visualisation, Jul 2022, Vienna, Austria.

Contact

LaBRI , Université Bordeaux, Bat A30
351, cours de la Libération
33405 Talence Cedex, FRANCE

adrien.halnaut [at] u-bordeaux.fr