Abstract: With respect to the transversal gate group (an invariant of quantum codes), we demonstrate that non-additive codes can outperform stabilizer codes. We do this by constructing spin codes that ...
This repository contains the official code for the paper "Permutation Equivariance of Transformers and Its Applications" (CVPR 2024). We provide the code for validation experiments for the properties ...
Permutation-Invariant-Polynomial Neural-Network-Based Δ-Machine Learning Approach: A Case for the HO
Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...
1 School of Automation and Information Engineering, Xi’an University of Technology, Xi’an, China 2 Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing, Xi’an ...
Abstract: Graph neural networks (GNNs) are emerging machine learning models on graphs. Permutation-equivariance and proximity-awareness are two important properties highly desirable for GNNs. Both ...
Background: An optimized anesthesia monitoring using electroencephalographic (EEG) information in the elderly could help to reduce the incidence of postoperative complications. Processed EEG ...
EXPLANATION In this section we will explain the rationale for choosing the answer pertaining to every question. After practicing these MCQ (s), you would be able to understand the concepts of ...
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