We present Representation Autoencoders (RAE), a class of autoencoders that utilize pretrained, frozen representation encoders such as DINOv2 and SigLIP2 as encoders with trained ViT decoders. RAE can ...
Abstract: This article presents, for the first time, a sequential logic-in-memory technique using embedded flash (eFlash) memory to address the integration challenges of previous methods that relied ...
Abstract: Surrogate modeling is a key enabler in antenna engineering, facilitating efficient simulation-based design, including parametric optimization. However, developing reliable behavioral models ...
An ESLint plugin that enforces logical consistency by transforming negated boolean expressions according to De Morgan’s laws. This plugin automatically rewrites negated conjunctions and disjunctions ...
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