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Akademický článek
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A two-dimensional second-order topological insulator exhibits topologically protected zero-energy states at its corners. In the literature, the breathing kagome lattice with nearest-neighbor hopping is often mentioned as an example of a two-dimension
Externí odkaz:
http://arxiv.org/abs/2412.20460
Autor:
Bhattacharya, Bishakh, Gupta, Tanuj, Sharma, Arun Kumar, Dwivedi, Ankur, Gupta, Vivek, Sahana, Subhadeep, Pathak, Suryansh, Awasthi, Ashish
In this study, we immerse in the intricate world of patterns, examining the structural details of Indian medieval architecture for the discovery of motifs with great application potential from the mechanical metastructure perspective. The motifs that
Externí odkaz:
http://arxiv.org/abs/2412.12122
Electricity grid's resiliency and climate change strongly impact one another due to an array of technical and policy-related decisions that impact both. This paper introduces a physics-informed machine learning-based framework to enhance grid's resil
Externí odkaz:
http://arxiv.org/abs/2411.18050
Vision-language models (VLMs) are capable of recognizing unseen actions. However, existing VLMs lack intrinsic understanding of procedural action concepts. Hence, they overfit to fixed labels and are not invariant to unseen action synonyms. To addres
Externí odkaz:
http://arxiv.org/abs/2411.15628
Nearest neighbor (NN) algorithms have been extensively used for missing data problems in recommender systems and sequential decision-making systems. Prior theoretical analysis has established favorable guarantees for NN when the underlying data is su
Externí odkaz:
http://arxiv.org/abs/2411.12965
This paper investigates a high-altitude platform (HAP) network enhanced with reconfigurable intelligent surfaces (RISs). The arbitrary placement of HAPs and RISs is modeled using stochastic geometry, specifically as homogeneous Poisson point processe
Externí odkaz:
http://arxiv.org/abs/2411.03886
The kernel thinning algorithm of Dwivedi & Mackey (2024) provides a better-than-i.i.d. compression of a generic set of points. By generating high-fidelity coresets of size significantly smaller than the input points, KT is known to speed up unsupervi
Externí odkaz:
http://arxiv.org/abs/2410.13749
Seawater intrusion into coastal aquifers poses a significant threat to groundwater resources, especially with rising sea levels due to climate change. Accurate modeling and uncertainty quantification of this process are crucial but are often hindered
Externí odkaz:
http://arxiv.org/abs/2410.20118