1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2025★ 1 cited
DenoMAE: A Multimodal Autoencoder for Denoising Modulation Signals
Atik Faysal, Taha Boushine, Mohammad Rostami +5
We propose Denoising Masked Autoencoder (Deno-MAE), a novel multimodal autoencoder framework for denoising modulation signals during pretraining. DenoMAE extends the concept of mas…
cs.LG2024
SimO Loss: Anchor-Free Contrastive Loss for Fine-Grained Supervised Contrastive Learning
Taha Bouhsine, Imad El Aaroussi, Atik Faysal +1
We introduce a novel anchor-free contrastive learning (AFCL) method leveraging our proposed Similarity-Orthogonality (SimO) loss. Our approach minimizes a semi-metric discriminativ…