Zobrazeno 1 - 10
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pro vyhledávání: '"SO Elias"'
Background. In modern software development, the use of external libraries and packages is increasingly prevalent, streamlining the software development process and enabling developers to deploy feature-rich systems with little coding. While this reli
Externí odkaz:
http://arxiv.org/abs/2412.05259
Autor:
Liu, Mengchen, Hong, Jessica J., Sebti, Elias, Zhou, Ke, Wang, Shen, Feng, Shijie, Pennebaker, Tyler, Hui, Zeyu, Miao, Qiushi, Lu, Ershuang, Harpak, Nimrod, Yu, Sicen, Zhou, Jianbin, Oh, Jeong Woo, Song, Min-Sang, Luo, Jian, Clément, Raphaële J., Liu, Ping
Sulfide solid state electrolytes are promising candidates to realize all solid state batteries due to their superior ionic conductivity and excellent ductility. However, their hypersensitivity to moisture requires processing environments that are not
Externí odkaz:
http://arxiv.org/abs/2412.04633
Autor:
Arnold, Elias, Edelmann, Eike-Manuel, von Bank, Alexander, Müller, Eric, Schmalen, Laurent, Schemmel, Johannes
Spiking neural networks (SNNs) emulated on dedicated neuromorphic accelerators promise to offer energy-efficient signal processing. However, the neuromorphic advantage over traditional algorithms still remains to be demonstrated in real-world applica
Externí odkaz:
http://arxiv.org/abs/2412.03129
Autor:
Caumartin, Genevieve, Qin, Qiaolin, Chatragadda, Sharon, Panjrolia, Janmitsinh, Li, Heng, Costa, Diego Elias
Code reviews are an integral part of software development and have been recognized as a crucial practice for minimizing bugs and favouring higher code quality. They serve as an important checkpoint before committing code and play an essential role in
Externí odkaz:
http://arxiv.org/abs/2412.02789
We investigate the nonlinear dynamics of vertically emitting Kerr microcavities under detuned optical injection, considering the impact of slow thermal effects. Our model integrates thermal detuning caused by refractive index shifts due to heating. T
Externí odkaz:
http://arxiv.org/abs/2412.02510
Medical patient data is always multimodal. Images, text, age, gender, histopathological data are only few examples for different modalities in this context. Processing and integrating this multimodal data with deep learning based methods is of utmost
Externí odkaz:
http://arxiv.org/abs/2412.01306
Autor:
Khader, Massine El, Bouzidi, Elias Al, Oumida, Abdellah, Sbaihi, Mohammed, Binard, Eliott, Poli, Jean-Philippe, Ouerdane, Wassila, Addad, Boussad, Kapusta, Katarzyna
Recent advances in Diffusion Models have enabled the generation of images from text, with powerful closed-source models like DALL-E and Midjourney leading the way. However, open-source alternatives, such as StabilityAI's Stable Diffusion, offer compa
Externí odkaz:
http://arxiv.org/abs/2412.00064
Accurate electrical load forecasting is crucial for optimizing power system operations, planning, and management. As power systems become increasingly complex, traditional forecasting methods may fail to capture the intricate patterns and dependencie
Externí odkaz:
http://arxiv.org/abs/2411.16118
We initiate a systematic study of utilizing predictions to improve over approximation guarantees of classic algorithms, without increasing the running time. We propose a systematic method for a wide class of optimization problems that ask to select a
Externí odkaz:
http://arxiv.org/abs/2411.16600
Autor:
Raffoul, Elias, Li, Xingpeng
To achieve net-zero carbon emissions, electrification in the transportation sector plays an important role. Significant increase of electric vehicles (EV) has been observed nationally and globally. While the transition to EVs presents substantial env
Externí odkaz:
http://arxiv.org/abs/2411.13710