Designing efficient optimizers for large language models (LLMs) with low-memory requirements and fast convergence is an important and challenging problem. This paper makes a step towards the ...
Recently, a collaborative team from multiple institutions, including CIOMP, published a review article in Light: Science & ...
Abstract: This article addresses the problem of subspace detection in the compound Gaussian (CG) sea clutter with lognormal (LN) texture and structured interference. We proposed three novel subspace ...
Abstract: We consider the role of non-localities in speed-density data used to fit fundamental diagrams from vehicle trajectories. We demonstrate that the use of anticipated densities results in a ...
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