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cs.LG2026
LWM-Temporal: Sparse Spatio-Temporal Attention for Wireless Channel Representation Learning
Sadjad Alikhani, Akshay Malhotra, Shahab Hamidi-Rad +1
LWM-Temporal is a new member of the Large Wireless Models (LWM) family that targets the spatiotemporal nature of wireless channels. Designed as a task-agnostic foundation model, LW…
cs.LG2026
Wireless Dataset Similarity: Measuring Distances in Supervised and Unsupervised Machine Learning
João Morais, Sadjad Alikhani, Akshay Malhotra +2
This paper introduces a task- and model-aware framework for measuring similarity between wireless datasets, enabling applications such as dataset selection/augmentation, simulation…
cs.LG2025
Sculpting the Latent Space: Disentanglement with WAE-MMD and Programmable Priors
Quentin Fruytier, Akshay Malhotra, Shahab Hamidi-Rad +3
Learning disentangled representations, where semantic features are independently captured in a latent space, is dominated by Variational Auto Encoders (VAE) and Adversarial Trainin…