Taha Bouhsine

Orcid: 0000-0002-6564-4021

According to our database1, Taha Bouhsine authored at least 10 papers between 2022 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
A Universal Reproducing Kernel Hilbert Space from Polynomial Alignment and IMQ Distance.
CoRR, May, 2026

No More DeLuLu: Physics-Inspired Kernel Networks for Geometrically-Grounded Neural Computation.
CoRR, March, 2026

SLAY: Geometry-Aware Spherical Linearized Attention with Yat-Kernel.
CoRR, February, 2026

DenoMAE2.0: Improving Denoising Masked Autoencoders by Classifying Local Patches for Automatic Modulation Classification.
IEEE Trans. Commun., 2026

2025
DenoMAE: A Multimodal Autoencoder for Denoising Modulation Signals.
IEEE Commun. Lett., July, 2025

DenoMAE2.0: Improving Denoising Masked Autoencoders by Classifying Local Patches.
CoRR, February, 2025

2024
Atmospheric visibility estimation: a review of deep learning approach.
Multim. Tools Appl., April, 2024

Deep Learning 2.0: Artificial Neurons That Matter - Reject Correlation, Embrace Orthogonality.
CoRR, 2024

SimO Loss: Anchor-Free Contrastive Loss for Fine-Grained Supervised Contrastive Learning.
CoRR, 2024

2022
Atmospheric Visibility Image-Based System for Instrument Meteorological Conditions Estimation: A Deep Learning Approach.
Proceedings of the 9th International Conference on Wireless Networks and Mobile Communications, 2022


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