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Found 5 papers, 1 papers with code
VisRec: A Semi-Supervised Approach to Radio Interferometric Data Reconstruction
This hybrid approach allows VisRec to effectively leverage both labeled and unlabeled data.
Dissecting the Runtime Performance of the Training, Fine-tuning, and Inference of Large Language Models
For end users, our benchmark and findings help better understand different optimization techniques, training and inference frameworks, together with hardware platforms in choosing configurations for deploying LLMs.
PolarRec: Radio Interferometric Data Reconstruction with Polar Coordinate Representation
This representation matches the way in which radio telescopes observe a celestial area as the Earth rotates.
Tensor RPCA by Bayesian CP Factorization With Complex Noise
In this paper, we propose a tensor RPCA model based on CP decomposition and model data noise by Mixture of Gaussians (MoG).
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