Zobrazeno 1 - 10
of 7 792
pro vyhledávání: '"Buettner P"'
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
Autor:
Serra, Giuseppe, Buettner, Florian
Given the ability to model more realistic and dynamic problems, Federated Continual Learning (FCL) has been increasingly investigated recently. A well-known problem encountered in this setting is the so-called catastrophic forgetting, for which the l
Externí odkaz:
http://arxiv.org/abs/2405.18925
Autor:
Hansen, Malte, Büttner, Andre
Publikováno v:
Privacy and Identity Management. Sharing in a Digital World. Privacy and Identity 2023. IFIP Advances in Information and Communication Technology, vol 695. Springer, Cham
In light of the GDPR, data controllers (DC) need to allow data subjects (DS) to exercise certain data subject rights. A key requirement here is that DCs can reliably authenticate a DS. Due to a lack of clear technical specifications, this has been re
Externí odkaz:
http://arxiv.org/abs/2404.15859
Autor:
Weik, David, Dou, Zehua, Räbiger, Dirk, Vogt, Tobias, Eckert, Sven, Czarske, Jürgen, Büttner, Lars
Convection of liquid metals drives large natural processes and is important in technical processes. Model experiments are conducted for research purposes where simulations are expensive and the clarification of open questions requires novel flow mapp
Externí odkaz:
http://arxiv.org/abs/2404.10840