Zobrazeno 1 - 10
of 136 166
pro vyhledávání: '"A A Kristian"'
Autor:
Zhong, Fucheng, Napolitano, Nicola R., Heneka, Caroline, Krogager, Jens-Kristian, Demarco, Ricardo, Bouché, Nicolas F., Loveday, Jonathan, Fritz, Alexander, Verdier, Aurélien, Roukema, Boudewijn F., Sifón, Cristóbal, Cassará, Letizia P., Assef, Roberto J., Ardern, Steve
Classification of spectra (1) and anomaly detection (2) are fundamental steps to guarantee the highest accuracy in redshift measurements (3) in modern all-sky spectroscopic surveys. We introduce a new Galaxy Spectra Neural Network (GaSNet-III) model
Externí odkaz:
http://arxiv.org/abs/2412.21130
Autor:
Kohaut, Simon, Flade, Benedict, Ochs, Daniel, Dhami, Devendra Singh, Eggert, Julian, Kersting, Kristian
Advanced Air Mobility (AAM) is a growing field that demands accurate modeling of legal concepts and restrictions in navigating intelligent vehicles. In addition, any implementation of AAM needs to face the challenges posed by inherently dynamic and u
Externí odkaz:
http://arxiv.org/abs/2501.01439
Autor:
Kohaut, Simon, Hohmann, Nikolas, Brulin, Sebastian, Flade, Benedict, Eggert, Julian, Olhofer, Markus, Adamy, Jürgen, Dhami, Devendra Singh, Kersting, Kristian
Advanced Aerial Mobility encompasses many outstanding applications that promise to revolutionize modern logistics and pave the way for various public services and industry uses. However, throughout its history, the development of such systems has bee
Externí odkaz:
http://arxiv.org/abs/2412.18514
The growing complexity of intelligent transportation systems and their applications in public spaces has increased the demand for expressive and versatile knowledge representation. While various mapping efforts have achieved widespread coverage, incl
Externí odkaz:
http://arxiv.org/abs/2412.18356
Autor:
Kohaut, Simon, Divo, Felix, Flade, Benedict, Dhami, Devendra Singh, Eggert, Julian, Kersting, Kristian
Predictions in environments where a mix of legal policies, physical limitations, and operational preferences impacts an agent's motion are inherently difficult. Since Neuro-Symbolic systems allow for differentiable information flow between deep learn
Externí odkaz:
http://arxiv.org/abs/2412.18347
Important memory-bound kernels, such as linear algebra, convolutions, and stencils, rely on SIMD instructions as well as optimizations targeting improved vectorized data traversal and data re-use to attain satisfactory performance. On on temporary CP
Externí odkaz:
http://arxiv.org/abs/2412.16001
Autor:
Friedrich, Felix, Tedeschi, Simone, Schramowski, Patrick, Brack, Manuel, Navigli, Roberto, Nguyen, Huu, Li, Bo, Kersting, Kristian
Building safe Large Language Models (LLMs) across multiple languages is essential in ensuring both safe access and linguistic diversity. To this end, we introduce M-ALERT, a multilingual benchmark that evaluates the safety of LLMs in five languages:
Externí odkaz:
http://arxiv.org/abs/2412.15035
Autor:
Skryagin, Arseny, Ochs, Daniel, Deibert, Phillip, Kohaut, Simon, Dhami, Devendra Singh, Kersting, Kristian
Although Answer Set Programming (ASP) allows constraining neural-symbolic (NeSy) systems, its employment is hindered by the prohibitive costs of computing stable models and the CPU-bound nature of state-of-the-art solvers. To this end, we propose Ans
Externí odkaz:
http://arxiv.org/abs/2412.14814
Human-in-the-loop (HIL) systems have emerged as a promising approach for combining the strengths of data-driven machine learning models with the contextual understanding of human experts. However, a deeper look into several of these systems reveals t
Externí odkaz:
http://arxiv.org/abs/2412.14232
Autor:
Merrild, Magnus Christian Ring, Rysgaard, Casper Moldrup, Schou, Jens Kristian Refsgaard, Svenning, Rolf
In this paper, we study the Contiguous Art Gallery Problem, introduced by Thomas C. Shermer at the 2024 Canadian Conference on Computational Geometry, a variant of the classical art gallery problem from 1973 by Victor Klee. In the contiguous variant,
Externí odkaz:
http://arxiv.org/abs/2412.13938