Zobrazeno 1 - 10
of 34 036
pro vyhledávání: '"A. Neuhaus"'
Autor:
Schneider, Andreas C., Neuhaus, Valentin, Ehrlich, David A., Makkeh, Abdullah, Ecker, Alexander S., Priesemann, Viola, Wibral, Michael
In modern deep neural networks, the learning dynamics of the individual neurons is often obscure, as the networks are trained via global optimization. Conversely, biological systems build on self-organized, local learning, achieving robustness and ef
Externí odkaz:
http://arxiv.org/abs/2412.02482
Autor:
Dreher, Pascal, Neuhaus, Alexander, Janoschka, David, Roedl, Alexandra, Meiler, Tim, Frank, Bettina, Davis, Timothy J., Giessen, Harald, Heringdorf, Frank Meyer zu
Publikováno v:
Advanced Photonics, Vol. 6, Issue 6, 066007 (2024)
Topology is the study of geometrical properties and spatial relations unaffected by continuous changes, and has become an important tool for understanding complex physical systems. Although recent optical experiments have inferred the existence of ve
Externí odkaz:
http://arxiv.org/abs/2411.03262
Autor:
Schwab, Julian, Neuhaus, Alexander, Dreher, Pascal, Tsesses, Shai, Cohen, Kobi, Mangold, Florian, Mantha, Anant, Frank, Bettina, Bartal, Guy, Heringdorf, Frank-J. Meyer zu, Davis, Timothy J., Giessen, Harald
The study of van der Waals heterostructures with an interlayer twist, known as "twistronics", has been instrumental in advancing contemporary condensed matter research. Most importantly, it has underpinned the emergence of a multitude of strongly-cor
Externí odkaz:
http://arxiv.org/abs/2411.03032
Ontologies are formal representations of knowledge in specific domains that provide a structured framework for organizing and understanding complex information. Creating ontologies, however, is a complex and time-consuming endeavor. ChEBI is a well-k
Externí odkaz:
http://arxiv.org/abs/2407.21708
Autor:
Neuhaus, James, Nichols, Nathan S., Banerjee, Debshikha, Cohen-Stead, Benjamin, Maier, Thomas A., Del Maestro, Adrian, Johnston, Steven
We introduce the SmoQyDEAC.jl package, a Julia implementation of the Differential Evolution Analytic Continuation (DEAC) algorithm [N. S. Nichols et al., Phys. Rev. E 106, 025312 (2022)] for analytically continuing noisy imaginary time correlation fu
Externí odkaz:
http://arxiv.org/abs/2407.04568
A consistency condition of general relativity as an effective field theory in Minkowskian background uniquely fixes the value of the cosmological constant. In two-loop calculations, including the interaction of gravitons with matter fields, it has be
Externí odkaz:
http://arxiv.org/abs/2405.09301
Autor:
Neuhaus-Steinmetz, Jannis, Matthies, Tim, Vedmedenko, Elena Y., Posske, Thore, Wiesendanger, Roland
We classify the magnetic ground states of a 2D lattice of localized magnetic moments which are coupled to a superconducting substrate with Rashba-spin-orbit coupling. We discover a rich magnetic phase diagram with surprisingly complex structures incl
Externí odkaz:
http://arxiv.org/abs/2405.08551
Deep learning models are often unaware of the inherent constraints of the task they are applied to. However, many downstream tasks require logical consistency. For ontology classification tasks, such constraints include subsumption and disjointness r
Externí odkaz:
http://arxiv.org/abs/2405.02083
Autor:
Köhler, Nele, Neuhaus, Fabian
In our work, we systematize and analyze implicit ontological commitments in the responses generated by large language models (LLMs), focusing on ChatGPT 3.5 as a case study. We investigate how LLMs, despite having no explicit ontology, exhibit implic
Externí odkaz:
http://arxiv.org/abs/2405.01581
Autor:
Lahme, Simon Zacharias, Cirkel, Jasper Ole, Hahn, Larissa, Hofmann, Julia, Neuhaus, Josefine, Schneider, Susanne, Klein, Pascal
The current dropout rate in physics studies in Germany is about 60\%, with the majority of dropouts occurring in the first year. Consequently, the physics study entry phase poses a significant challenge for many students. Students' stress perceptions
Externí odkaz:
http://arxiv.org/abs/2404.05682