Zobrazeno 1 - 10
of 62 031
pro vyhledávání: '"A. Baumgartner"'
Publikováno v:
Atmospheric Measurement Techniques, Vol 17, Pp 1419-1439 (2024)
The spectrometer of the Munich Aerosol Cloud Scanner (specMACS) is a high-spatial-resolution hyperspectral and polarized imaging system. It is operated from a nadir-looking perspective aboard the German High Altitude and LOng range (HALO) research ai
Externí odkaz:
https://doaj.org/article/8b641bff4ac44ab09bac494526e4bdf6
Autor:
J. H. Ungerer, A. Pally, A. Kononov, S. Lehmann, J. Ridderbos, P. P. Potts, C. Thelander, K. A. Dick, V. F. Maisi, P. Scarlino, A. Baumgartner, C. Schönenberger
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-8 (2024)
Abstract Combining superconducting resonators and quantum dots has triggered tremendous progress in quantum information, however, attempts at coupling a resonator to even charge parity spin qubits have resulted only in weak spin-photon coupling. Here
Externí odkaz:
https://doaj.org/article/3734db4e5d4d4f39b5e9d5ea4fd8548f
Publikováno v:
Atmospheric Measurement Techniques, Vol 16, Pp 4195-4214 (2023)
Monitoring anthropogenic emissions is a crucial aspect in understanding the methane budget. Moreover, a reduction of methane emissions could help to mitigate global warming on a short timescale. This study compares various retrieval schemes for estim
Externí odkaz:
https://doaj.org/article/90cbddec45024b42ad956e363cb25ab8
Recommender systems remain underutilized in humanities and historical research, despite their potential to enhance the discovery of cultural records. This paper offers an initial value identification of the multiple stakeholders that might be impacte
Externí odkaz:
http://arxiv.org/abs/2409.17769
This study examines the impact of historical text normalization on the classification of medieval charters, specifically focusing on document dating and locating. Using a data set of Middle High German charters from a digital archive, we evaluate var
Externí odkaz:
http://arxiv.org/abs/2408.16446
Data scarcity is a major limiting factor for applying modern machine learning techniques to clinical tasks. Although sufficient data exists for some well-studied medical tasks, there remains a long tail of clinically relevant tasks with poor data ava
Externí odkaz:
http://arxiv.org/abs/2408.08058
Autor:
McGinness, Lachlan, Baumgartner, Peter
FOLD-RM is an explainable machine learning classification algorithm that uses training data to create a set of classification rules. In this paper we introduce CON-FOLD which extends FOLD-RM in several ways. CON-FOLD assigns probability-based confide
Externí odkaz:
http://arxiv.org/abs/2408.07854
Autor:
McGinness, Lachlan, Baumgartner, Peter
Publikováno v:
Proceedings LPAR 2024, EPiC Series in Computing, vol. 100, pp 51-69
In this paper we demonstrate how logic programming systems and Automated first-order logic Theorem Provers (ATPs) can improve the accuracy of Large Language Models (LLMs) for logical reasoning tasks where the baseline performance is given by direct L
Externí odkaz:
http://arxiv.org/abs/2408.03492
Inverse problems, such as accelerated MRI reconstruction, are ill-posed and an infinite amount of possible and plausible solutions exist. This may not only lead to uncertainty in the reconstructed image but also in downstream tasks such as semantic s
Externí odkaz:
http://arxiv.org/abs/2407.18026
Autor:
Shen, Jiaming, Xu, Ran, Jun, Yennie, Qin, Zhen, Liu, Tianqi, Yang, Carl, Liang, Yi, Baumgartner, Simon, Bendersky, Michael
Reward models (RMs) are crucial for aligning large language models (LLMs) with human preferences. They are trained using preference datasets where each example consists of one input prompt, two responses, and a preference label. As curating a high-qu
Externí odkaz:
http://arxiv.org/abs/2407.16008