Zobrazeno 1 - 10
of 18 610
pro vyhledávání: '"A. Buettner"'
Autor:
White, Alistair, Büttner, Anna, Gelbrecht, Maximilian, Duruisseaux, Valentin, Kilbertus, Niki, Hellmann, Frank, Boers, Niklas
Neural differential equations offer a powerful approach for learning dynamics from data. However, they do not impose known constraints that should be obeyed by the learned model. It is well-known that enforcing constraints in surrogate models can enh
Externí odkaz:
http://arxiv.org/abs/2410.23667
Autor:
Buettner, Kyle, Kovashka, Adriana
There is a scarcity of multilingual vision-language models that properly account for the perceptual differences that are reflected in image captions across languages and cultures. In this work, through a multimodal, multilingual retrieval case study,
Externí odkaz:
http://arxiv.org/abs/2410.02027
The increasing integration of renewable energy sources (RESs) into power systems requires the deployment of grid-forming inverters to ensure a stable operation. Accurate modeling of these devices is necessary. In this paper, a system identification a
Externí odkaz:
http://arxiv.org/abs/2409.17132
The evaluation of image generators remains a challenge due to the limitations of traditional metrics in providing nuanced insights into specific image regions. This is a critical problem as not all regions of an image may be learned with similar ease
Externí odkaz:
http://arxiv.org/abs/2409.01314
Autor:
Bashkatov, Aleksandr, Bürkle, Florian, Demirkır, Çayan, Ding, Wei, Sanjay, Vatsal, Babich, Alexander, Yang, Xuegeng, Mutschke, Gerd, Czarske, Jürgen, Lohse, Detlef, Krug, Dominik, Büttner, Lars, Eckert, Kerstin
Electrolytically generated gas bubbles can significantly hamper the overall electrolysis efficiency. Therefore it is crucial to understand their dynamics in order to optimise water electrolyzer systems. Here we demonstrate a distinct transport mechan
Externí odkaz:
http://arxiv.org/abs/2409.00515
Autor:
Decker, Thomas, Koebler, Alexander, Lebacher, Michael, Thon, Ingo, Tresp, Volker, Buettner, Florian
Monitoring and maintaining machine learning models are among the most critical challenges in translating recent advances in the field into real-world applications. However, current monitoring methods lack the capability of provide actionable insights
Externí odkaz:
http://arxiv.org/abs/2408.13648
Many real-world applications require machine-learning models to be able to deal with non-stationary data distributions and thus learn autonomously over an extended period of time, often in an online setting. One of the main challenges in this scenari
Externí odkaz:
http://arxiv.org/abs/2407.07668
Autor:
Yenamandra, Sriram, Ramachandran, Arun, Khanna, Mukul, Yadav, Karmesh, Vakil, Jay, Melnik, Andrew, Büttner, Michael, Harz, Leon, Brown, Lyon, Nandi, Gora Chand, PS, Arjun, Yadav, Gaurav Kumar, Kala, Rahul, Haschke, Robert, Luo, Yang, Zhu, Jinxin, Han, Yansen, Lu, Bingyi, Gu, Xuan, Liu, Qinyuan, Zhao, Yaping, Ye, Qiting, Dou, Chenxiao, Chua, Yansong, Kuzma, Volodymyr, Humennyy, Vladyslav, Partsey, Ruslan, Francis, Jonathan, Chaplot, Devendra Singh, Chhablani, Gunjan, Clegg, Alexander, Gervet, Theophile, Jain, Vidhi, Ramrakhya, Ram, Szot, Andrew, Wang, Austin, Yang, Tsung-Yen, Edsinger, Aaron, Kemp, Charlie, Shah, Binit, Kira, Zsolt, Batra, Dhruv, Mottaghi, Roozbeh, Bisk, Yonatan, Paxton, Chris
In order to develop robots that can effectively serve as versatile and capable home assistants, it is crucial for them to reliably perceive and interact with a wide variety of objects across diverse environments. To this end, we proposed Open Vocabul
Externí odkaz:
http://arxiv.org/abs/2407.06939
Due to the increasing share of renewables, the analysis of the dynamical behavior of power grids gains importance. Effective risk assessments necessitate the analysis of large number of fault scenarios. The computational costs inherent in dynamic sim
Externí odkaz:
http://arxiv.org/abs/2406.08917
Using feature attributions for post-hoc explanations is a common practice to understand and verify the predictions of opaque machine learning models. Despite the numerous techniques available, individual methods often produce inconsistent and unstabl
Externí odkaz:
http://arxiv.org/abs/2406.05090