Riemannian Geometry-Based Spatial Filtering (RSF) is a method based on Riemannian geometry designed to improve the accuracy of motor imagery (MI) and electroencephalogram (EEG) signal classification.

Abstract: Formal verification of PLC programs requires transforming control logic into a mathematical model. Since PLC languages lack a formal semantics, multiple transformation methods exist, based ...

Abstract: In edge-cloud speculative decoding (SD), edge devices equipped with small language models (SLMs) generate draft tokens that are verified by large language models (LLMs) in the cloud. A key ...

The main novelty seems to be an extra layer of indirection with the prior network (whether it is an autoregressive transformer or a diffusion network), which predicts an image embedding based on the ...