Drastically Reducing the Number of Trainable Parameters in Deep CNNs by Inter-layer Kernel-sharing. - Alireza Azadbakht; Saeed Reza Kheradpisheh; Ismail Khalfaoui Hassani; Timothée Masquelier (CoRR, 2022)

Dilated convolution with learnable spacings. - Ismail Khalfaoui Hassani; Thomas Pellegrini; Timothée Masquelier (ICLR, 2023)

Adapting a ConvNeXt Model to Audio Classification on AudioSet. - Thomas Pellegrini; Ismail Khalfaoui Hassani; Etienne Labbé; Timothée Masquelier (INTERSPEECH, 2023)

Dilated Convolution with Learnable Spacings: beyond bilinear interpolation. - Ismail Khalfaoui Hassani; Thomas Pellegrini; Timothée Masquelier (CoRR, 2023)

Audio classification with Dilated Convolution with Learnable Spacings. - Ismail Khalfaoui Hassani; Timothée Masquelier; Thomas Pellegrini (CoRR, 2023)

Learning Delays in Spiking Neural Networks using Dilated Convolutions with Learnable Spacings. - Ilyass Hammouamri; Ismail Khalfaoui Hassani; Timothée Masquelier (ICLR, 2024)

Dilated Convolution with Learnable Spacings makes visual models more aligned with humans: a Grad-CAM study. - Rabih Chamas; Ismail Khalfaoui Hassani; Timothée Masquelier (CoRR, 2024)

Dilated Convolution with Learnable Spacings. - Ismail Khalfaoui Hassani (CoRR, 2024)

Dilated convolution with learnable spacings. (Convolution dilatée avec espacements apprenables). - Ismail Khalfaoui Hassani (2024)

Learnable polynomial, trigonometric, and tropical activations. - Ismail Khalfaoui Hassani; Stefan Kesselheim (CoRR, 2025)