Zobrazeno 1 - 10
of 40 905
pro vyhledávání: '"A. A. Brouwer"'
Autor:
Johnson, David R., Chew, Joyce, Viswanath, Siddharth, De Brouwer, Edward, Needell, Deanna, Krishnaswamy, Smita, Perlmutter, Michael
In order to better understand manifold neural networks (MNNs), we introduce Manifold Filter-Combine Networks (MFCNs). The filter-combine framework parallels the popular aggregate-combine paradigm for graph neural networks (GNNs) and naturally suggest
Externí odkaz:
http://arxiv.org/abs/2410.14639
Many countries use automated decision-making (ADM) systems, often based on artificial intelligence (AI), to manage migration at their borders. This interdisciplinary paper explores two questions. What are the main ways that automated decision-making
Externí odkaz:
http://arxiv.org/abs/2410.17278
Autor:
Cui, Jingjing, de Brouwer, Philippe J. S., Herbert, Steven, Intallura, Philip, Kargi, Cahit, Korpas, Georgios, Krajenbrink, Alexandre, Shoosmith, William, Williams, Ifan, Zheng, Ban
We investigate the feasibility of integrating quantum algorithms as subroutines of simulation-based optimisation problems with relevance to and potential applications in mathematical finance. To this end, we conduct a thorough analysis of all systema
Externí odkaz:
http://arxiv.org/abs/2410.03926
Electron-magnon coupling at the interface between a normal metal and a magnetically ordered insulator modifies the electrical conductivity of the normal metal, an effect known as spin-Hall magnetoresistance. It can also facilitate magnon-mediated cur
Externí odkaz:
http://arxiv.org/abs/2408.13099
The topology of an insulator can be defined even when all eigenstates of the system are localized - an extreme case of Anderson insulators that we call ultra-localized. We derive the classification of such ultra-localized insulators in all symmetry c
Externí odkaz:
http://arxiv.org/abs/2407.07957
We present an optimization-driven approach to creating a double-tough ceramic material with a brick-and-mortar microstructure, where the mortar is itself transformation-toughened, engineered with the goal of simultaneously achieving high strength and
Externí odkaz:
http://arxiv.org/abs/2406.14423
Synthetic tabular data is crucial for sharing and augmenting data across silos, especially for enterprises with proprietary data. However, existing synthesizers are designed for centrally stored data. Hence, they struggle with real-world scenarios wh
Externí odkaz:
http://arxiv.org/abs/2404.03299
Identifying the chemical structure from a graphical representation, or image, of a molecule is a challenging pattern recognition task that would greatly benefit drug development. Yet, existing methods for chemical structure recognition do not typical
Externí odkaz:
http://arxiv.org/abs/2404.01743
Synthetic data from generative models emerges as the privacy-preserving data-sharing solution. Such a synthetic data set shall resemble the original data without revealing identifiable private information. The backbone technology of tabular synthesiz
Externí odkaz:
http://arxiv.org/abs/2403.07842
We study Electric Vehicle (EV) charging from a scheduling perspective, aiming to minimize delays while respecting the grid constraints. A network of parking lots is considered, each with a given number of charging stations for electric vehicles. Some
Externí odkaz:
http://arxiv.org/abs/2403.03109