Zobrazeno 1 - 10
of 75 833
pro vyhledávání: '"A A, Hicks"'
Autor:
Esparza-Arredondo, D., Almeida, C. Ramos, Audibert, A., Pereira-Santaella, M., García-Bernete, I., García-Burillo, S., Shimizu, T., Davies, R., Muñoz, L. Hermosa, Alonso-Herrero, A., Combes, F., Speranza, G., Zhang, L., Campbell, S., Bellocchi, E., Bunker, A. J., Díaz-Santos, T., García-Lorenzo, B., González-Martín, O., Hicks, E. K. S., Labiano, A., Levenson, N. A., Ricci, C., Rosario, D., Hoenig, S., Packham, C., Stalevski, M., Fuller, L., Izumi, T., López-Rodríguez, E., Rigopoulou, D., Rouan, D., Ward, M.
Understanding the processes that drive the morphology and kinematics of molecular gas in galaxies is crucial for comprehending star formation and, ultimately, galaxy evolution. Using data obtained with the James Webb Space Telescope (JWST) and the At
Externí odkaz:
http://arxiv.org/abs/2411.12398
Inherently Interpretable and Uncertainty-Aware Models for Online Learning in Cyber-Security Problems
In this paper, we address the critical need for interpretable and uncertainty-aware machine learning models in the context of online learning for high-risk industries, particularly cyber-security. While deep learning and other complex models have dem
Externí odkaz:
http://arxiv.org/abs/2411.09393
Autor:
Claveau, Charles-Antoine, Bottom, Michael, Jacobson, Shane, Hodapp, Klaus, Huber, Guillaume, Newland, Matthew, Walk, Aidan, Loose, Markus, Baker, Ian, Zemaityte, Egle, Hicks, Matthew, Barnes, Keith, Powell, Richard, Bradley, Ryan, Moore, Eric
Spectroscopy of Earth-like exoplanets and ultra-faint galaxies are priority science cases for the coming decades. Here, broadband source flux rates are measured in photons per square meter per hour, imposing extreme demands on detector performance, i
Externí odkaz:
http://arxiv.org/abs/2411.09185
Autor:
Lopez-Ramos, Luis M., Leiser, Florian, Rastogi, Aditya, Hicks, Steven, Strümke, Inga, Madai, Vince I., Budig, Tobias, Sunyaev, Ali, Hilbert, Adam
The joint implementation of Federated learning (FL) and Explainable artificial intelligence (XAI) will allow training models from distributed data and explaining their inner workings while preserving important aspects of privacy. Towards establishing
Externí odkaz:
http://arxiv.org/abs/2411.05874
In this paper we consider the contextual bandit problem with a finite (or infinite and clustered) context set. We consider the fully adversarial problem in which, apart from having bounded losses, there are no assumptions whatsoever on the generation
Externí odkaz:
http://arxiv.org/abs/2411.04295
We evaluate OpenAI's o1-preview and o1-mini models, benchmarking their performance against the earlier GPT-4o model. Our evaluation focuses on their ability to detect vulnerabilities in real-world software by generating structured inputs that trigger
Externí odkaz:
http://arxiv.org/abs/2410.21939
A significant challenge for autonomous cyber defence is ensuring a defensive agent's ability to generalise across diverse network topologies and configurations. This capability is necessary for agents to remain effective when deployed in dynamically
Externí odkaz:
http://arxiv.org/abs/2410.17647
CybORG++ is an advanced toolkit for reinforcement learning research focused on network defence. Building on the CAGE 2 CybORG environment, it introduces key improvements, including enhanced debugging capabilities, refined agent implementation support
Externí odkaz:
http://arxiv.org/abs/2410.16324
Autor:
Cook, Owen, Grimshaw, Charlie, Wu, Ben, Dillon, Sophie, Hicks, Jack, Jones, Luke, Smith, Thomas, Szert, Matyas, Song, Xingyi
Misinformation spreads rapidly on social media, confusing the truth and targetting potentially vulnerable people. To effectively mitigate the negative impact of misinformation, it must first be accurately detected before applying a mitigation strateg
Externí odkaz:
http://arxiv.org/abs/2410.14515
Open-ended coding tasks, which ask students to construct programs according to certain specifications, are common in computer science education. Student modeling can be challenging since their open-ended nature means that student code can be diverse.
Externí odkaz:
http://arxiv.org/abs/2410.10829