Zobrazeno 1 - 10
of 34 852
pro vyhledávání: '"Achille A."'
Autor:
Tortora, Crescenzo, Ragusa, Rossella, Gatto, Massimiliano, Spavone, Marilena, Hunt, Leslie, Ripepi, Vincenzo, Dall'Ora, Massimo, Abdurro'uf, Annibali, Francesca, Baes, Maarten, Belfiore, Francesco Michel Concetto, Bellucco, Nicola, Bolzonella, Micol, Cantiello, Michele, Dimauro, Paola, Kluge, Mathias, Lelli, Federico, Napolitano, Nicola R., Nucita, Achille, Radovich, Mario, Scaramella, Roberto, Schinnerer, Eva, Testa, Vincenzo, Unni, Aiswarya
Publikováno v:
The Messenger 193, 31 (2024)
The VLT Survey Telescope Survey of Mass Assembly and Structural Hierarchy (VST-SMASH) aims to detect tidal features and remnants around very nearby galaxies, a unique and essential diagnostic of the hierarchical nature of galaxy formation. Leveraging
Externí odkaz:
http://arxiv.org/abs/2411.09608
Autor:
Wang, Yingheng, Wang, Zichen, Sadeh, Gil, Zancato, Luca, Achille, Alessandro, Karypis, George, Rangwala, Huzefa
Self-supervised training of language models (LMs) has seen great success for protein sequences in learning meaningful representations and for generative drug design. Most protein LMs are based on the Transformer architecture trained on individual pro
Externí odkaz:
http://arxiv.org/abs/2411.08909
The field of autonomous navigation for unmanned ground vehicles (UGVs) is in continuous growth and increasing levels of autonomy have been reached in the last few years. However, the task becomes more challenging when the focus is on the exploration
Externí odkaz:
http://arxiv.org/abs/2410.17738
Autor:
Shi, Claudia, Beltran-Velez, Nicolas, Nazaret, Achille, Zheng, Carolina, Garriga-Alonso, Adrià, Jesson, Andrew, Makar, Maggie, Blei, David M.
Large language models (LLMs) demonstrate surprising capabilities, but we do not understand how they are implemented. One hypothesis suggests that these capabilities are primarily executed by small subnetworks within the LLM, known as circuits. But ho
Externí odkaz:
http://arxiv.org/abs/2410.13032
Autor:
Fokoue, Achille, Jayaraman, Srideepika, Khabiri, Elham, Kephart, Jeffrey O., Li, Yingjie, Shah, Dhruv, Drissi, Youssef, Heath III, Fenno F., Bhamidipaty, Anu, Tipu, Fateh A., Baseman, Robert J.
In many industrial settings, users wish to ask questions whose answers may be found in structured data sources such as a spreadsheets, databases, APIs, or combinations thereof. Often, the user doesn't know how to identify or access the right data sou
Externí odkaz:
http://arxiv.org/abs/2409.05735
Autor:
Amico, Nicola, Felicetti, Achille
The report explores the challenges and strategies for preserving 3D digital data in cultural heritage. It discusses the issue of technological obsolescence, emphasising the need for ustainable storage solutions and ongoing data management strategies.
Externí odkaz:
http://arxiv.org/abs/2409.04507
Autor:
Wood, Jared A., Compare, Laura Dal, Pearse, Lillian, Schuitemaker, Alicia, Liu, Yawei, Hudson, Toby, Giacometti, Achille, Widmer-Cooper, Asaph
We characterize the self-assembly and phase behavior of Janus rods over a broad range of temperatures and volume fractions, using Langevin dynamics simulations and free energy calculations. The Janus rods consist of a line of fused overlapping sphere
Externí odkaz:
http://arxiv.org/abs/2408.12828
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
Autor:
Mousavi, S. M. Hossein, Besenzoni, Matteo, Andreoletti, Davide, Peternier, Achille, Giordano, Silvia
Affective computing has recently gained popularity, especially in the field of human-computer interaction systems, where effectively evoking and detecting emotions is of paramount importance to enhance users experience. However, several issues are hi
Externí odkaz:
http://arxiv.org/abs/2407.09110
We describe a basic correspondence between linear algebraic structures within vector embeddings in artificial neural networks and conditional independence constraints on the probability distributions modeled by these networks. Our framework aims to s
Externí odkaz:
http://arxiv.org/abs/2407.08934