Zobrazeno 1 - 10
of 2 585
pro vyhledávání: '"Stocco P"'
Autor:
Stocco, Andrea, Mitsopoulos, Konstantinos, Yang, Yuxue C., Hake, Holly S., Haile, Theodros, Leonard, Bridget, Gluck, Kevin
Cognitive architectures are influential, integrated computational frameworks for modeling cognitive processes. Due to a variety of factors, however, researchers using cognitive architectures to explain and predict human performance rarely employ mode
Externí odkaz:
http://arxiv.org/abs/2410.18055
Simulation-based testing is widely used to assess the reliability of Autonomous Driving Systems (ADS), but its effectiveness is limited by the operational design domain (ODD) conditions available in such simulators. To address this limitation, in thi
Externí odkaz:
http://arxiv.org/abs/2409.13661
Autor:
Marque, Clément, D'Avino, Gaetano, Larobina, Domenico, Michel, Aude, Abou-Hassan, Ali, Stocco, Antonio
The study of interactions between biomimetic membranes and micron-sized particles serves as a fundamental cornerstone for understanding various biological processes. Here, we aim at controlling the engulfment of microparticles in absence of any exter
Externí odkaz:
http://arxiv.org/abs/2409.12773
Autor:
Farrugia, Noel, Bonanno, Daniel, Frendo, Nicholas, Xuereb, André, Kosmatos, Evangelos, Stavdas, Alexandros, Russo, Marco, Montrucchio, Bartolomeo, Menchetti, Marco, Bacco, Davide, Marigonda, Silvia, Stocco, Francesco, Morgari, Guglielmo, Manzalini, Antonio
There is mounting evidence that a second quantum revolution based on the technological capabilities to detect and manipulate single quantum particles (e.g., electrons, photons, ions, etc), a feat not achieved during the first quantum revolution, is p
Externí odkaz:
http://arxiv.org/abs/2408.15027
Most vulnerability detection studies focus on datasets of vulnerabilities in C/C++ code, offering limited language diversity. Thus, the effectiveness of deep learning methods, including large language models (LLMs), in detecting software vulnerabilit
Externí odkaz:
http://arxiv.org/abs/2408.06428
Evaluating the behavioral frontier of deep learning (DL) systems is crucial for understanding their generalizability and robustness. However, boundary testing is challenging due to their high-dimensional input space. Generative artificial intelligenc
Externí odkaz:
http://arxiv.org/abs/2408.06258
Context: Test Automation (TA) techniques are crucial for quality assurance in software engineering but face limitations such as high test suite maintenance costs and the need for extensive programming skills. Artificial Intelligence (AI) offers new o
Externí odkaz:
http://arxiv.org/abs/2408.06224
Autor:
Litman, Yair, Kapil, Venkat, Feldman, Yotam M. Y., Tisi, Davide, Begušić, Tomislav, Fidanyan, Karen, Fraux, Guillaume, Higer, Jacob, Kellner, Matthias, Li, Tao E., Pós, Eszter S., Stocco, Elia, Trenins, George, Hirshberg, Barak, Rossi, Mariana, Ceriotti, Michele
Atomic-scale simulations have progressed tremendously over the past decade, largely due to the availability of machine-learning interatomic potentials. These potentials combine the accuracy of electronic structure calculations with the ability to rea
Externí odkaz:
http://arxiv.org/abs/2405.15224
In learning-enabled autonomous systems, safety monitoring of learned components is crucial to ensure their outputs do not lead to system safety violations, given the operational context of the system. However, developing a safety monitor for practica
Externí odkaz:
http://arxiv.org/abs/2405.13254
Simulation-based testing of automated driving systems (ADS) is the industry standard, being a controlled, safe, and cost-effective alternative to real-world testing. Despite these advantages, virtual simulations often fail to accurately replicate rea
Externí odkaz:
http://arxiv.org/abs/2404.18577