Zobrazeno 1 - 10
of 7 246
pro vyhledávání: '"Heiss P"'
Autor:
Edelsbrunner, Herbert, Heiss, Teresa
Motivated by applications to crystalline materials, we generalize the merge tree and the related barcode of a filtered complex to the periodic setting in Euclidean space. They are invariant under isometries, changing bases, and indeed changing lattic
Externí odkaz:
http://arxiv.org/abs/2408.16575
The evolutionary relationships between species are typically represented in the biological literature by rooted phylogenetic trees. However, a tree fails to capture ancestral reticulate processes, such as the formation of hybrid species or lateral ge
Externí odkaz:
http://arxiv.org/abs/2408.16156
We report a new 40 ppb measurement of the positronium $\text{1}^\text{3}\text{S}_\text{1} \to \text{2}^\text{3}\text{S}_\text{1}$ interval using pulsed two-photon optical spectroscopy. The transition is detected via field-ionization of atoms excited
Externí odkaz:
http://arxiv.org/abs/2407.02443
Decentralized Physical Infrastructure Networks (DePINS) are secured and governed by blockchains but beyond crypto-economic incentives, they lack measures to establish trust in participating devices and their services. The verification of relevant dev
Externí odkaz:
http://arxiv.org/abs/2406.19042
Zk-SNARKs help scale blockchains with Verifiable Off-chain Computations (VOC). zk-SNARK DSL toolkits are key when designing arithmetic circuits but fall short of automating the subsequent proof-generation step in an automated manner. We emphasize the
Externí odkaz:
http://arxiv.org/abs/2404.16915
Verifiable decentralized federated learning (FL) systems combining blockchains and zero-knowledge proofs (ZKP) make the computational integrity of local learning and global aggregation verifiable across workers. However, they are not end-to-end: data
Externí odkaz:
http://arxiv.org/abs/2404.12623
Structure and Optimization of Parameters for Neural Network Controllers in Automatic Control Systems
The article outlines the methodology of structural and parametric synthesis of neural network controllers for controlling objects with limiters under incomplete information about the controlled object. Artificial neural networks are used to create co
Externí odkaz:
http://arxiv.org/abs/2312.16510
Due to its decentralised, distributed and scalable nature, swarm robotics has great potential for applications ranging from agriculture to environmental monitoring and logistics. Various swarm control methods and algorithms are currently known, such
Externí odkaz:
http://arxiv.org/abs/2312.01358
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence, 38(9) (2024) 9891-9900
We study the design of iterative combinatorial auctions (ICAs). The main challenge in this domain is that the bundle space grows exponentially in the number of items. To address this, several papers have recently proposed machine learning (ML)-based
Externí odkaz:
http://arxiv.org/abs/2308.10226
Autor:
Lina Tan, Jana Zschüntzsch, Stefanie Meyer, Alica Stobbe, Hannah Bruex, Adrian P. Regensburger, Merle Claßen, Frauke Alves, Jörg Jüngert, Ulrich Rother, Yi Li, Vera Danko, Werner Lang, Matthias Türk, Sandy Schmidt, Matthias Vorgerd, Lara Schlaffke, Joachim Woelfle, Andreas Hahn, Alexander Mensch, Martin Winterholler, Regina Trollmann, Rafael Heiß, Alexandra L. Wagner, Roman Raming, Ferdinand Knieling
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-13 (2024)
Abstract Pompe disease (PD) is a rare autosomal recessive glycogen storage disorder that causes proximal muscle weakness and loss of respiratory function. While enzyme replacement therapy (ERT) is the only effective treatment, biomarkers for disease
Externí odkaz:
https://doaj.org/article/8655ac3a16f54504b7231fb6083d2f96