Zobrazeno 1 - 10
of 16 192
pro vyhledávání: '"A. Romão"'
In light of the inherently complex and dynamic nature of real-world environments, incorporating risk measures is crucial for the robustness evaluation of deep learning models. In this work, we propose a Risk-Averse Certification framework for Bayesia
Externí odkaz:
http://arxiv.org/abs/2411.19729
Basement relief gravimetry is crucial in geophysics, especially for oil exploration and mineral prospecting. It involves solving an inverse problem to infer geological model parameters from observed data. The model represents basement relief with con
Externí odkaz:
http://arxiv.org/abs/2410.14942
Autor:
Mathiesen, Frederik Baymler, Romao, Licio, Calvert, Simeon C., Laurenti, Luca, Abate, Alessandro
In this paper, we present a novel data-driven approach to quantify safety for non-linear, discrete-time stochastic systems with unknown noise distribution. We define safety as the probability that the system remains in a given region of the state spa
Externí odkaz:
http://arxiv.org/abs/2410.06662
While the prominent quantum computing architectures are based on superconducting technology, new quantum hardware technologies are emerging, such as Trapped Ions, Neutral Atoms (or FPQAs), Silicon Spin Qubits, etc. This diverse set of technologies pr
Externí odkaz:
http://arxiv.org/abs/2409.07870
We describe Qonductor, a cloud orchestrator for hybrid quantum-classical applications that run on heterogeneous hybrid resources. Qonductor exposes the $Qonductor~API$, a high-level and hardware-agnostic API for customizable hybrid application develo
Externí odkaz:
http://arxiv.org/abs/2408.04312
As LHC's Run3 unfolds, we peer deeper into the couplings of the 125GeV Higgs ($h_{125}$) and also test for extra scalars. Even before such extra scalars are found, one can probe them by using the fact that theories with multiple Higgs doublets allow
Externí odkaz:
http://arxiv.org/abs/2407.19856
Autor:
Romao, Lucas, Kalinowski, Marcos, Barbosa, Clarissa, Araújo, Allysson Allex, Barbosa, Simone D. J., Lopes, Helio
[Context] Software Engineering (SE) education constantly seeks to bridge the gap between academic knowledge and industry demands, with active learning methods like Problem-Based Learning (PBL) gaining prominence. Despite these efforts, recent graduat
Externí odkaz:
http://arxiv.org/abs/2407.15982
We discuss the constraints and phenomenology of the $Z_2 \times Z_2$ three Higgs doublet model (3HDM) with two inert scalars, originating two dark matter (DM) particles. We elucidate the competing vacua and we submit the model to all theoretical and
Externí odkaz:
http://arxiv.org/abs/2407.15933
Finite modular family symmetry can emerge from top-down approaches based on heterotic string theory or Type IIB string theory. We show that, in addition to such approaches, it can also emerge from local F-Theory bottom-up constructions. As a first ex
Externí odkaz:
http://arxiv.org/abs/2407.06618
We present a novel Artificial Intelligence approach for Beyond the Standard Model parameter space scans by augmenting an Evolutionary Strategy with Novelty Detection. Our approach leverages the power of Evolutionary Strategies, previously shown to qu
Externí odkaz:
http://arxiv.org/abs/2402.07661