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README.md
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<div align="center">
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# ⚡ LARGE WIRELESS MODELS (LWMs) 2025 CHALLENGE
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@@ -162,9 +235,3 @@ Developed by the [Wireless Intelligence Lab](https://wi-lab.net) at Arizona Stat
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<img src="https://img.shields.io/badge/👤 Ahmed Alkhateeb-Click to view Scholar profile-orange?style=for-the-badge" alt="Ahmed Alkhateeb">
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</a>
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</p>
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-
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---
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language:
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- en
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tags:
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- wireless
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- foundation-model
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- transformer
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- channel-estimation
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- localization
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- beam-prediction
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- channel-interpolation
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- los-nlos-classification
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- pytorch
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- self-supervised-learning
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datasets:
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- DeepMIMO
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metrics:
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- f1
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- mse
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- normalized-mse
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- localization-error
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model-index:
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- name: lwm-v1.1
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results:
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- task:
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type: classification
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name: LoS/NLoS Classification
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dataset:
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name: Wireless Channel Dataset
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type: custom
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metrics:
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- type: f1
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value: baseline
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- task:
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type: regression
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name: Channel Estimation
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dataset:
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name: Wireless Channel Dataset
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type: custom
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metrics:
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- type: normalized-mse
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value: baseline
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- task:
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type: regression
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name: Channel Interpolation
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dataset:
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name: Wireless Channel Dataset
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type: custom
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metrics:
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- type: normalized-mse
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value: baseline
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- task:
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type: classification
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name: Beam Prediction
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dataset:
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name: Wireless Channel Dataset
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type: custom
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metrics:
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- type: f1
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value: baseline
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- task:
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type: regression
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name: Localization
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dataset:
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name: Wireless Channel Dataset
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type: custom
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metrics:
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- type: normalized-localization-error
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value: baseline
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pipeline_tag: feature-extraction
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library_name: pytorch
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---
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<div align="center">
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# ⚡ LARGE WIRELESS MODELS (LWMs) 2025 CHALLENGE
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<img src="https://img.shields.io/badge/👤 Ahmed Alkhateeb-Click to view Scholar profile-orange?style=for-the-badge" alt="Ahmed Alkhateeb">
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</a>
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</p>
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