Zobrazeno 1 - 10
of 32 219
pro vyhledávání: '"A Achille"'
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
Autor:
Gomez, Sebastian, Nicholl, Matt, Berger, Edo, Blanchard, Peter K., Villar, V. Ashley, Rest, Sofia, Hosseinzadeh, Griffin, Aamer, Aysha, Ajay, Yukta, Athukoralalage, Wasundara, Coulter, David C., Eftekhari, Tarraneh, Fiore, Achille, Franz, Noah, Fox, Ori, Gagliano, Alexander, Hiramatsu, Daichi, Howell, D. Andrew, Hsu, Brian, Karmen, Mitchell, Siebert, Matthew R., Könyves-Tóth, Réka, Kumar, Harsh, McCully, Curtis, Pellegrino, Craig, Pierel, Justin, Rest, Armin, Wang, Qinan
We present the most comprehensive catalog to date of Type I Superluminous Supernovae (SLSNe), a class of stripped envelope supernovae (SNe) characterized by exceptionally high luminosities. We have compiled a sample of 262 SLSNe reported through 2022
Externí odkaz:
http://arxiv.org/abs/2407.07946
Autor:
Niccolucci, Franco, Felicetti, Achille
Publikováno v:
Sensors 2024, 24, 3978
The paper concerns the extension of the Heritage Digital Twin Ontology introduced in previous work to describe the reactivity of digital twins used for cultural heritage documentation by including the semantic description of sensors and activators an
Externí odkaz:
http://arxiv.org/abs/2407.07750
Autor:
Zancato, Luca, Seshadri, Arjun, Dukler, Yonatan, Golatkar, Aditya, Shen, Yantao, Bowman, Benjamin, Trager, Matthew, Achille, Alessandro, Soatto, Stefano
We describe a family of architectures to support transductive inference by allowing memory to grow to a finite but a-priori unknown bound while making efficient use of finite resources for inference. Current architectures use such resources to repres
Externí odkaz:
http://arxiv.org/abs/2407.06324