Zobrazeno 1 - 10
of 22 185
pro vyhledávání: '"Petzold, A"'
Autor:
Fronk, Colby, Petzold, Linda
Stiff systems of ordinary differential equations (ODEs) are pervasive in many science and engineering fields, yet standard neural ODE approaches struggle to learn them. This limitation is the main barrier to the widespread adoption of neural ODEs. In
Externí odkaz:
http://arxiv.org/abs/2410.05592
Autor:
Oliveira, Catarina R., Knapp, Dunja, Elewa, Ahmed, Gerber, Tobias, Gonzalez Malagon, Sandra G., Gates, Phillip B., Walters, Hannah E., Petzold, Andreas, Arce, Hernan, Cordoba, Rodrigo C., Subramanian, Elaiyaraja, Chara, Osvaldo, Tanaka, Elly M., Simon, András, Yun, Maximina H.
Salamander limb regeneration is an accurate process which gives rise exclusively to the missing structures, irrespective of the amputation level. This suggests that cells in the stump have an awareness of their spatial location, a property termed pos
Externí odkaz:
https://tud.qucosa.de/id/qucosa%3A91652
https://tud.qucosa.de/api/qucosa%3A91652/attachment/ATT-0/
https://tud.qucosa.de/api/qucosa%3A91652/attachment/ATT-0/
Autor:
Reinhardt, Julia, Sharma, Virag, Stavridou, Antigoni, Lindner, Annett, Reinhardt, Susanne, Petzold, Andreas, Lesche, Mathias, Rost, Fabian, Bonifacio, Ezio, Eugster, Anne
Resting conventional T cells (Tconv) can be distinguished from T regulatory cells (Treg) by the canonical markers FOXP3, CD25 and CD127. However, the expression of these proteins alters after T-cell activation leading to overlap between Tconv and Tre
Externí odkaz:
https://tud.qucosa.de/id/qucosa%3A91125
https://tud.qucosa.de/api/qucosa%3A91125/attachment/ATT-0/
https://tud.qucosa.de/api/qucosa%3A91125/attachment/ATT-0/
Autor:
John, Dominik, Chen, Junan, Gaßner, Christoph, Savatović, Sara, Petzold, Lisa Marie, Wirtensohn, Sami, Riedel, Mirko, Hammel, Jörg U., Moosmann, Julian, Beckmann, Felix, Wieczorek, Matthias, Herzen, Julia
Recent advancements in propagation-based phase-contrast imaging, such as hierarchical imaging, have enabled the visualization of internal structures in large biological specimens and material samples. However, wavefront marker-based techniques, which
Externí odkaz:
http://arxiv.org/abs/2408.00482
Autor:
Li, Zekun, Yang, Xianjun, Choi, Kyuri, Zhu, Wanrong, Hsieh, Ryan, Kim, HyeonJung, Lim, Jin Hyuk, Ji, Sungyoung, Lee, Byungju, Yan, Xifeng, Petzold, Linda Ruth, Wilson, Stephen D., Lim, Woosang, Wang, William Yang
The rapid development of Multimodal Large Language Models (MLLMs) is making AI-driven scientific assistants increasingly feasible, with interpreting scientific figures being a crucial task. However, existing datasets and benchmarks focus mainly on ba
Externí odkaz:
http://arxiv.org/abs/2407.04903
Autor:
Zhang, Xinlu, Chen, Zhiyu Zoey, Ye, Xi, Yang, Xianjun, Chen, Lichang, Wang, William Yang, Petzold, Linda Ruth
Instruction Fine-Tuning (IFT) significantly enhances the zero-shot capabilities of pretrained Large Language Models (LLMs). While coding data is known to boost reasoning abilities during LLM pretraining, its role in activating internal reasoning capa
Externí odkaz:
http://arxiv.org/abs/2405.20535
Autor:
Chen, Zhiyu Zoey, Ma, Jing, Zhang, Xinlu, Hao, Nan, Yan, An, Nourbakhsh, Armineh, Yang, Xianjun, McAuley, Julian, Petzold, Linda, Wang, William Yang
In the fast-evolving domain of artificial intelligence, large language models (LLMs) such as GPT-3 and GPT-4 are revolutionizing the landscapes of finance, healthcare, and law: domains characterized by their reliance on professional expertise, challe
Externí odkaz:
http://arxiv.org/abs/2405.01769
Autor:
Roshdi, Mohamed, Petzold, Julian, Wahby, Mostafa, Ebrahim, Hussein, Berekovic, Mladen, Hamann, Heiko
In Autonomous Driving (AD) transparency and safety are paramount, as mistakes are costly. However, neural networks used in AD systems are generally considered black boxes. As a countermeasure, we have methods of explainable AI (XAI), such as feature
Externí odkaz:
http://arxiv.org/abs/2404.17350
Model checking is a proven approach for checking whether the behavior model of a safety-critical system fulfills safety properties that are stated as LTL formulas.We propose rules for generating such LTL formulas automatically based on the result of
Externí odkaz:
http://arxiv.org/abs/2404.04093
This paper presents the development of a specialized chatbot for materials science, leveraging the Llama-2 language model, and continuing pre-training on the expansive research articles in the materials science domain from the S2ORC dataset. The meth
Externí odkaz:
http://arxiv.org/abs/2401.01089