no code implementations • 28 May 2024 • Hai-Vy Nguyen, Fabrice Gamboa, Sixin Zhang, Reda Chhaibi, Serge Gratton, Thierry Giaccone
This loss boosts the discriminative power of neural nets, represented by intra-class compactness and inter-class separability.
no code implementations • 13 May 2024 • Reda Chhaibi, Fabrice Gamboa, Christophe Oger, Vinicius Oliveira, Clément Pellegrini, Damien Remot
We propose an active sampling flow, with the use-case of simulating the impact of combined variations on analog circuits.
no code implementations • 6 May 2024 • Virgile Foy, Fabrice Gamboa, Reda Chhaibi
In this paper, we propose a method for learning UDFs that improves the fidelity of the obtained Neural UDF to the original 3D surface.
no code implementations • 12 Apr 2024 • Hai-Vy Nguyen, Fabrice Gamboa, Reda Chhaibi, Sixin Zhang, Serge Gratton, Thierry Giaccone
The method is applicable to any classification model as it is applied directly in feature space at test time and does not intervene in training process.
no code implementations • 1 Nov 2021 • Reda Chhaibi, Tariq Daouda, Ezechiel Kahn
We present a reliable and very fast method for computing the associated spectral densities, for given architecture and initialization.
1 code implementation • 16 May 2020 • Tariq Daouda, Reda Chhaibi, Prudencio Tossou, Alexandra-Chloé Villani
This work introduces a geometric framework and a novel network architecture for creating correspondences between samples of different conditions.