Zobrazeno 1 - 10
of 5 326
pro vyhledávání: '"Tobia A"'
Publikováno v:
Proceedings of SPAICE2024: The First Joint European Space Agency / IAA Conference on AI in and for Space, 2024. 33-37
Accurate satellite pose estimation is crucial for autonomous guidance, navigation, and control (GNC) systems in in-orbit servicing (IOS) missions. This paper explores the impact of different tasks within a multi-task learning (MTL) framework for sate
Externí odkaz:
http://arxiv.org/abs/2410.12679
Autor:
Pfrommer, Daniel, Padmanabhan, Swati, Ahn, Kwangjun, Umenberger, Jack, Marcucci, Tobia, Mhammedi, Zakaria, Jadbabaie, Ali
Recent work in imitation learning has shown that having an expert controller that is both suitably smooth and stable enables stronger guarantees on the performance of the learned controller. However, constructing such smoothed expert controllers for
Externí odkaz:
http://arxiv.org/abs/2410.00859
Autor:
Morozov, Savva, Marcucci, Tobia, Amice, Alexandre, Graesdal, Bernhard Paus, Bosworth, Rohan, Parrilo, Pablo A., Tedrake, Russ
The Shortest-Path Problem in Graph of Convex Sets (SPP in GCS) is a recently developed optimization framework that blends discrete and continuous decision making. Many relevant problems in robotics, such as collision-free motion planning, can be cast
Externí odkaz:
http://arxiv.org/abs/2409.19543
Autor:
Wedemeyer, Sven, Szydlarski, Mikolaj, Toribio, M. Carmen, Carozzi, Tobia, Jakobsson, Daniel, Gomez, Juan Camilo Guevara, Eklund, Henrik, Henriques, Vasco M. J., Jafarzadeh, Shahin, Rodriguez, Jaime de la Cruz
The Atacama Large Millimeter/submillimeter Array (ALMA) offers new diagnostic capabilities for studying the Sun, providing complementary insights through high spatial and temporal resolution at millimeter wavelengths. ALMA acts as a linear thermomete
Externí odkaz:
http://arxiv.org/abs/2408.14265
We report on extensive molecular dynamics atomistic simulations of a \textit{meta}-substituted \textit{poly}-phenylacetylene (pPA) foldamer dispersed in three solvents, water \ce{H2O}, cyclohexane \ce{cC6H12}, and \textit{n}-hexane \ce{nC6H14}, and f
Externí odkaz:
http://arxiv.org/abs/2407.20686
Consumer IP cameras are now the most widely adopted solution for remote monitoring in various contexts, such as private homes or small offices. While the security of these devices has been scrutinized, most approaches are limited to relatively shallo
Externí odkaz:
http://arxiv.org/abs/2406.15103
Excitonic semiconductors such as transition metal dichalcogenides (TMDCs) are attractive for next-generation photovoltaics (PVs) with low cost, light weight, and low material consumption. In WS2 and other TMDCs, the simultaneous large optical constan
Externí odkaz:
http://arxiv.org/abs/2406.13065
Autor:
Arcangeli, Tobia, Škrbić, Tatjana, Azote, Somiealo, Marcato, Davide, Rosa, Angelo, Banavar, Jayanth R., Piazza, Roberto, Maritan, Amos, Giacometti, Achille
Using Langevin dynamics complemented by Wang-Landau Monte Carlo simulations, we study the phase behavior of single and multiple semiflexible polymer chains in solution under poor-solvent conditions. In the case of a single chain, we obtain the full p
Externí odkaz:
http://arxiv.org/abs/2405.11287
This work addresses the problem of simulating Gaussian random fields that are continuously indexed over a class of metric graphs, termed graphs with Euclidean edges, being more general and flexible than linear networks. We introduce three general alg
Externí odkaz:
http://arxiv.org/abs/2404.17491
Autor:
Boschi, Tobia, Bonin, Francesca, Ordonez-Hurtado, Rodrigo, Rousseau, Cécile, Pascale, Alessandra, Dinsmore, John
Publikováno v:
IJCAI 2024
This paper introduces a novel Functional Graph Convolutional Network (funGCN) framework that combines Functional Data Analysis and Graph Convolutional Networks to address the complexities of multi-task and multi-modal learning in digital health and l
Externí odkaz:
http://arxiv.org/abs/2403.10158