Zobrazeno 1 - 10
of 23 288
pro vyhledávání: '"A Heiß"'
Neural Jump ODEs model the conditional expectation between observations by neural ODEs and jump at arrival of new observations. They have demonstrated effectiveness for fully data-driven online forecasting in settings with irregular and partial obser
Externí odkaz:
http://arxiv.org/abs/2412.03271
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/2411.09355
The rapid evolution of cloud-native applications, characterized by dynamic, interconnected services, presents significant challenges for maintaining trustworthy and auditable systems, especially in sensitive contexts, such as finance or healthcare. T
Externí odkaz:
http://arxiv.org/abs/2410.13477
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
Autor:
Li, Yunrui, Xu, Hao, Kumar, Ambrish, Wang, Duosheng, Heiss, Christian, Azadi, Parastoo, Hong, Pengyu
Nuclear Magnetic Resonance (NMR) spectroscopy is essential for revealing molecular structure, electronic environment, and dynamics. Accurate NMR shift prediction allows researchers to validate structures by comparing predicted and observed shifts. Wh
Externí odkaz:
http://arxiv.org/abs/2403.11353