Zobrazeno 1 - 10
of 18 007
pro vyhledávání: '"A. Rader"'
The federated analysis of sensitive time series has huge potential in various domains, such as healthcare or manufacturing. Yet, to fully unlock this potential, requirements imposed by various stakeholders must be fulfilled, regarding, e.g., efficien
Externí odkaz:
http://arxiv.org/abs/2408.15694
Autor:
Hauschild, Johannes, Unfried, Jakob, Anand, Sajant, Andrews, Bartholomew, Bintz, Marcus, Borla, Umberto, Divic, Stefan, Drescher, Markus, Geiger, Jan, Hefel, Martin, Hémery, Kévin, Kadow, Wilhelm, Kemp, Jack, Kirchner, Nico, Liu, Vincent S., Möller, Gunnar, Parker, Daniel, Rader, Michael, Romen, Anton, Scalet, Samuel, Schoonderwoerd, Leon, Schulz, Maximilian, Soejima, Tomohiro, Thoma, Philipp, Wu, Yantao, Zechmann, Philip, Zweng, Ludwig, Mong, Roger S. K., Zaletel, Michael P., Pollmann, Frank
TeNPy (short for 'Tensor Network Python') is a python library for the simulation of strongly correlated quantum systems with tensor networks. The philosophy of this library is to achieve a balance of readability and usability for new-comers, while at
Externí odkaz:
http://arxiv.org/abs/2408.02010
Autor:
Seymour, William, Rader, Emilee
The advent of LLMs means that CUIs are cool again, but what isn't so cool is that we're doomed to use them alone. The one user, one account, one device paradigm has dominated the design of CUIs and is not going away as new conversational technologies
Externí odkaz:
http://arxiv.org/abs/2405.14390
We introduce Optimistix: a nonlinear optimisation library built in JAX and Equinox. Optimistix introduces a novel, modular approach for its minimisers and least-squares solvers. This modularity relies on new practical abstractions for optimisation wh
Externí odkaz:
http://arxiv.org/abs/2402.09983
Autor:
Biggs, Megan F., Knighton, Brittany E., Alejandro, Aldair, Davis, Lauren M., Rader, Claire, Johnson, Jeremy A.
To control structure-function relationships in solids with light, we must harness the shape of the potential energy surface, as expressed in anharmonic coupling coefficients. We use two-dimensional terahertz (THz) spectroscopy to identify trilinear c
Externí odkaz:
http://arxiv.org/abs/2310.08747
Autor:
Lou, Rui, Zhou, Liqin, Song, Wenhua, Fedorov, Alexander, Tu, Zhijun, Jiang, Bei, Wang, Qi, Li, Man, Liu, Zhonghao, Chen, Xuezhi, Rader, Oliver, Büchner, Bernd, Sun, Yujie, Weng, Hongming, Lei, Hechang, Wang, Shancai
Kagome magnets provide a fascinating platform for the realization of correlated topological quantum phases under various magnetic ground states. However, the intricate effect of the magnetic spin configurations on the characteristic electronic struct
Externí odkaz:
http://arxiv.org/abs/2309.06399
Autor:
Benjamin Rader, Neil K. R. Sehgal, Julie Michelman, Stefan Mellem, Marinanicole D. Schultheiss, Tom Hoddes, Jamie MacFarlane, Geoff Clark, Shawn O’Banion, Paul Eastham, Gaurav Tuli, James A. Taylor, John S. Brownstein
Publikováno v:
npj Digital Medicine, Vol 7, Iss 1, Pp 1-7 (2024)
Abstract In pandemic mitigation, strategies such as social distancing and mask-wearing are vital to prevent disease resurgence. Yet, monitoring adherence is challenging, as individuals might be reluctant to share behavioral data with public health au
Externí odkaz:
https://doaj.org/article/1883edff0aad4f0a98d70f3500341f56
Publikováno v:
Sustainable Earth Reviews, Vol 7, Iss 1, Pp 1-12 (2024)
Abstract The Sustainable Development Goal 8, “Decent Work and Economic Growth,” (SDG8) has crucial significance for developing nations as they grapple with the dual challenges of fostering economic growth and addressing climate change, as they ar
Externí odkaz:
https://doaj.org/article/8a3cdd57f3cf48b3ad46a1c31071558e
Autor:
Krivenkov, Maxim, Sajedi, Maryam, Marchenko, Dmitry, Golias, Evangelos, Muntwiler, Matthias, Rader, Oliver, Varykhalov, Andrei
Phosphorene, a 2D allotrope of phosphorus, is technologically very appealing because of its semiconducting properties and narrow band gap. Further reduction of the phosphorene dimensionality may spawn exotic properties of its electronic structure, in
Externí odkaz:
http://arxiv.org/abs/2304.13456
Machine learning (ML) algorithms are increasingly important for the success of products and services, especially considering the growing amount and availability of data. This also holds for areas handling sensitive data, e.g. applications processing
Externí odkaz:
http://arxiv.org/abs/2302.08260