Zobrazeno 1 - 10
of 20 399
pro vyhledávání: '"Tommasi"'
Publikováno v:
Organizacija, Vol 56, Iss 1, Pp 80-89 (2023)
Background/Purpose: Meaningful work is a topic of relevant interest to management and organizational scholars. The study of meaningful work has been heavily characterized by theories from different disciplines, yet the common-sense perspective is oft
Externí odkaz:
https://doaj.org/article/ce077d8a3f4c4f3ab1aba2c2de7fb89b
We analyze the hard scattering amplitude of gravitational form factors (GFFs) of hadrons within QCD factorization at large momentum transfers, focusing on their conformal field theory (CFT) description. These form factors are key to studying quark an
Externí odkaz:
http://arxiv.org/abs/2409.19586
The backreaction of a conformal matter sector and its associated conformal anomaly on gravity can be systematically studied using the formalism of the anomaly effective action. This action, defined precisely in flat spacetime within ordinary quantum
Externí odkaz:
http://arxiv.org/abs/2409.18004
We analyze the hard scattering amplitude of the gravitational form factors (GFFs) of hadrons at one-loop, in relation to their conformal field theory (CFT) description, within the framework of QCD factorization for hard exclusive processes at large m
Externí odkaz:
http://arxiv.org/abs/2409.05609
Autor:
Rabino, Paolo, Tommasi, Tatiana
Interacting with real-world cluttered scenes pose several challenges to robotic agents that need to understand complex spatial dependencies among the observed objects to determine optimal pick sequences or efficient object retrieval strategies. Exist
Externí odkaz:
http://arxiv.org/abs/2409.02035
Autor:
Iurada, Leonardo, Cavagnero, Niccolò, Santos, Fernando Fernandes Dos, Averta, Giuseppe, Rech, Paolo, Tommasi, Tatiana
Deep learning models are crucial for autonomous vehicle perception, but their reliability is challenged by algorithmic limitations and hardware faults. We address the latter by examining fault-tolerance in semantic segmentation models. Using establis
Externí odkaz:
http://arxiv.org/abs/2408.16952
Authorship obfuscation aims to disguise the identity of an author within a text by altering the writing style, vocabulary, syntax, and other linguistic features associated with the text author. This alteration needs to balance privacy and utility. Wh
Externí odkaz:
http://arxiv.org/abs/2407.21630
Heavy and light particles are commonly found in many natural phenomena and industrial processes, such as suspensions of bubbles, dust, and droplets in incompressible turbulent flows. Based on a recent machine learning approach using a diffusion model
Externí odkaz:
http://arxiv.org/abs/2406.05008
Recent advances in neural network pruning have shown how it is possible to reduce the computational costs and memory demands of deep learning models before training. We focus on this framework and propose a new pruning at initialization algorithm tha
Externí odkaz:
http://arxiv.org/abs/2406.01820
Autor:
Haffoud, Paolo, Poulet, François, Vincendon, Mathieu, Filacchione, Gianrico, Barbis, Alessandra, Guiot, Pierre, Lecomte, Benoit, Langevin, Yves, Piccioni, Giuseppe, Dumesnil, Cydalise, Rodriguez, Sébastien, Carter, John, Stefania, Stefani, Tommasi, Leonardo, Tosi, Federico, Pilorget, Cédric
Publikováno v:
Rev. Sci. Instrum. 95, 031301 (2024)
The Moons And Jupiter Imaging Spectrometer (MAJIS) is the visible and near-infrared imaging spectrometer onboard ESA s Jupiter Icy Moons Explorer (JUICE) mission. Before its integration into the spacecraft, the instrument undergoes an extensive groun
Externí odkaz:
http://arxiv.org/abs/2405.19021