Improving Normalizing Flows with the Approximate Mass for Out-of-Distribution Detection. - Samy Chali; Inna Kucher; Marc Duranton; Jacques-Olivier Klein (CVPR Workshops, 2023)

A Comprehensive Study of Transfer Learning under Constraints. - Tom Pégeot; Inna Kucher; Adrian Popescu 001; Bertrand Delezoide (ICCV (Workshops), 2023)

Surround the Nonlinearity: Inserting Foldable Convolutional Autoencoders to Reduce Activation Footprint. - Baptiste Rossigneux; Inna Kucher; Vincent Lorrain; Emmanuel Casseau (ICCV (Workshops), 2023)

A 772μJ/frame ImageNet Feature Extractor Accelerator on HD Images at 30FPS. - Ivan Miro-Panades; Vincent Lorrain; Lilian Billod; Inna Kucher; Vincent Templier; Sylvain Choisnet; Nermine Ali; Baptiste Rossigneux; Olivier Bichler; Alexandre Valentian (APCCAS, 2024)

Live Demonstration: A 772μJ/frame ImageNet Feature Extractor Accelerator on HD Images at 30FPS. - Ivan Miro-Panades; Vincent Lorrain; Lilian Billod; Inna Kucher; Vincent Templier; Sylvain Choisnet; Nermine Ali; Baptiste Rossigneux; Olivier Bichler; Alexandre Valentian (APCCAS, 2024)

Importance Resides in Activations: Fast Input-Based Nonlinearity Pruning. - Baptiste Rossigneux; Vincent Lorrain; Inna Kucher; Emmanuel Casseau (ICONIP (9), 2024)

Temporal Dynamics in Visual Data: Analyzing the Impact of Time on Classification Accuracy. - Tom Pégeot; Eva Feillet; Adrian Popescu 001; Inna Kucher; Bertrand Delezoide (WACV, 2025)