Zobrazeno 1 - 10
of 145 708
pro vyhledávání: '"A, Sander"'
In an era where cyberattacks increasingly target the software supply chain, the ability to accurately attribute code authorship in binary files is critical to improving cybersecurity measures. We propose OCEAN, a contrastive learning-based system for
Externí odkaz:
http://arxiv.org/abs/2412.05049
Autor:
Sun, Tao, Bohté, Sander
Uncertainty estimation is a standard tool to quantify the reliability of modern deep learning models, and crucial for many real-world applications. However, efficient uncertainty estimation methods for spiking neural networks, particularly for regres
Externí odkaz:
http://arxiv.org/abs/2412.00278
Hot-carrier trapping preserves high quantum yields but limits optical gain in InP-based quantum dots
Autor:
Vonk, Sander J. W., Prins, P. Tim, Wang, Tong, Matthys, Jan, Giordano, Luca, Schiettecatte, Pieter, Mondal, Navendu, van der Hoeven, Jessi E. S., Hopper, Thomas R., Hens, Zeger, Geiregat, Pieter, Bakulin, Artem A., Rabouw, Freddy T.
Indium phosphide is the leading material for commercial applications of colloidal quantum dots. To date, however, the community has failed to achieve successful operation under strong excitation conditions, contrasting sharply with other materials. H
Externí odkaz:
http://arxiv.org/abs/2411.19565
Autor:
Wang, Sheng, Tian, Yao, Mei, Xiaodong, Sun, Ge, Cheng, Jie, Ma, Fulong, Sander, Pedro V., Liang, Junwei
Decision-making and planning in autonomous driving critically reflect the safety of the system, making effective planning imperative. Current imitation learning-based planning algorithms often merge historical trajectories with present observations t
Externí odkaz:
http://arxiv.org/abs/2411.17253
Autor:
Gómez-González, V. M. A., Oskinova, L. M., Hamann, W. -R., Todt, H., Pauli, D., Serantes, S. Reyero, Bernini-Peron, M., Sander, A. C., Ramachandran, V., Vink, J. S., Crowther, P. A., Berlanas, S. R., ud-Doula, A., Gormaz-Matamala, A. C., Kehrig, C., Kuiper, R., Leitherer, C., Mahy, L., McLeod, A. F., Mehner, A., Morrell, N., Shenar, T., Telford, O. G., van Loon, J. Th., Tramper, F., Wofford, A.
Massive stars lead the ionization and mechanical feedback within young star-forming regions. The Large Magellanic Cloud (LMC) is an ideal galaxy for studying individual massive stars and quantifying their feedback contribution to the environment. We
Externí odkaz:
http://arxiv.org/abs/2411.14149
Strongly correlated materials exhibit complex electronic phenomena that are challenging to capture with traditional theoretical methods, yet understanding these systems is crucial for discovering new quantum materials. Addressing the computational bo
Externí odkaz:
http://arxiv.org/abs/2411.13644
Bubbly drag reduction is considered as one of the most promising techniques to reduce the energy consumption of marine vessels. With this technique bubbles are injected under the hull where they then lubricate the hull, thus reducing the drag of the
Externí odkaz:
http://arxiv.org/abs/2411.13196
We experimentally investigated the melting of floating ice cylinders. Experiments were carried out in an aquarium, with ice cylinders with radii between 5 cm and 12 cm, floating horizontally with their axis perpendicular to gravity. The water in the
Externí odkaz:
http://arxiv.org/abs/2411.09620
In machine learning and data mining, outliers are data points that significantly differ from the dataset and often introduce irrelevant information that can induce bias in its statistics and models. Therefore, unsupervised methods are crucial to dete
Externí odkaz:
http://arxiv.org/abs/2411.08867
Image watermarking methods are not tailored to handle small watermarked areas. This restricts applications in real-world scenarios where parts of the image may come from different sources or have been edited. We introduce a deep-learning model for lo
Externí odkaz:
http://arxiv.org/abs/2411.07231