Zobrazeno 1 - 10
of 220 634
pro vyhledávání: '"P Looks"'
In visual decision making, high-level features, such as object categories, have a strong influence on choice. However, the impact of low-level features on behavior is less understood partly due to the high correlation between high- and low-level feat
Externí odkaz:
http://arxiv.org/abs/2409.02241
Publikováno v:
Proceedings of the 19th International Conference on Availability, Reliability and Security (ARES 2024), 2024, 62:1-62:11
Addressing a critical aspect of cybersecurity in online gaming, this paper systematically evaluates the extent to which kernel-level anti-cheat systems mirror the properties of rootkits, highlighting the importance of distinguishing between protectiv
Externí odkaz:
http://arxiv.org/abs/2408.00500
Autor:
Komossa, S., Grupe, D., Marziani, P., Popovic, L. C., Marceta-Mandic, S., Bon, E., Ilic, D., Kovacevic, A. B., Kraus, A., Haiman, Z., Petrecca, V., De Cicco, D., Dimitrijevic, M. S., Sreckovic, V. A., Dojcinovic, J. Kovacevic, Pannikkote, M., Bon, N., Gupta, K. K., Iacob, F.
The extremes of Active Galactic Nuclei (AGN) variability offer valuable new insights into the drivers and physics of AGN. We discuss some of the most extreme cases of AGN variability; the highest amplitudes, deep minima states, extreme spectral state
Externí odkaz:
http://arxiv.org/abs/2408.00089
We combine concept-based neural networks with generative, flow-based classifiers into a novel, intrinsically explainable, exactly invertible approach to supervised learning. Prototypical neural networks, a type of concept-based neural network, repres
Externí odkaz:
http://arxiv.org/abs/2407.12200
Autor:
Fowler, J., Jensen-Clem, Rebecca, van Kooten, Maaike A. M., Chambouleyron, Vincent, Cetre, Sylvain
The direct imaging and characterization of exoplanets requires extreme adaptive optics (XAO), achieving exquisite wavefront correction (upwards of 90$\%$ Strehl) over a narrow field of view (a few arcseconds). For these XAO systems the temporal error
Externí odkaz:
http://arxiv.org/abs/2407.11187
Reduplication and repetition, though similar in form, serve distinct linguistic purposes. Reduplication is a deliberate morphological process used to express grammatical, semantic, or pragmatic nuances, while repetition is often unintentional and ind
Externí odkaz:
http://arxiv.org/abs/2407.08147
Interpretability is a key requirement for the use of machine learning models in high-stakes applications, including medical diagnosis. Explaining black-box models mostly relies on post-hoc methods that do not faithfully reflect the model's behavior.
Externí odkaz:
http://arxiv.org/abs/2406.15168
Autor:
Willard, Frank, Moffett, Luke, Mokel, Emmanuel, Donnelly, Jon, Guo, Stark, Yang, Julia, Kim, Giyoung, Barnett, Alina Jade, Rudin, Cynthia
Prototypical-part models are a popular interpretable alternative to black-box deep learning models for computer vision. However, they are difficult to train, with high sensitivity to hyperparameter tuning, inhibiting their application to new datasets
Externí odkaz:
http://arxiv.org/abs/2406.14675
The pursuit of high perceptual quality in image restoration has driven the development of revolutionary generative models, capable of producing results often visually indistinguishable from real data. However, as their perceptual quality continues to
Externí odkaz:
http://arxiv.org/abs/2405.16475
Autor:
Bouchot, Nicolas
In this paper we consider the simple random walk on $\mathbb{Z}^d$, $d \geq 3$, conditioned to stay in a large domain $D_N$ of typical diameter $N$. Considering the range up to time $t_N \geq N^{2+\delta}$ for some $\delta > 0$, we establish a coupli
Externí odkaz:
http://arxiv.org/abs/2405.14329