Zobrazeno 1 - 10
of 1 218
pro vyhledávání: '"Gonzàlez, Fernando"'
Autor:
Giesecke, André, Vogt, Tobias, Pizzi, Federico, Kumar, Vivaswat, Gonzalez, Fernando Garcia, Gundrum, Thomas, Stefani, Frank
We examine the fluid flow forced by precession of a rotating cylindrical container using numerical simulations and experimental flow measurements with ultrasonic Doppler velocimetry (UDV). The analysis is based on the decomposition of the flow field
Externí odkaz:
http://arxiv.org/abs/2409.17789
Autor:
Biswas, Debaditya, Gonzalez, Fernando Araiza, Henry, William, Karki, Abishek, Morean, Casey, Nadeeshani, Sooriyaarachchilage, Sun, Abel, Abrams, Daniel, Ahmed, Zafar, Aljawrneh, Bashar, Alsalmi, Sheren, Ambrose, George, Armstrong, Whitney, Asaturyan, Arshak, Assumin-Gyimah, Kofi, Gayoso, Carlos Ayerbe, Bandari, Anashe, Basnet, Samip, Berdnikov, Vladimir, Bhatt, Hem, Bhetuwal, Deepak, Boeglin, Werner, Bosted, Peter, Brash, Edward, Bukhari, Masroor, Chen, Haoyu, Chen, Jian-Ping, Chen, Mingyu, Christy, Michael Eric, Dusa, Silviu Covrig, Craycraft, Kayla, Danagoulian, Samuel, Day, Donal, Diefenthaler, Markus, Dlamini, Mongi, Dunne, James, Duran, Burcu, Dutta, Dipangkar, Ent, Rolf, Evans, Rory, Fenker, Howard, Fomin, Nadia, Fuchey, Eric, Gaskell, David, Gautam, Thir Narayan, Hansen, Jens-Ole, Hauenstein, Florian, Hernandez, A., Horn, Tanja, Huber, Garth, Jones, Mark, Joosten, Sylvester, Kabir, Md Latiful, Keppel, Cynthia, Khanal, Achyut, King, Paul, Kinney, Edward, Kohl, Michael, Lashley-Colthirst, Nathaniel, Li, Shujie, Li, Wenliang, Liyanage, Anusha Habarakada, Mack, David, Malace, Simona, Markowitz, Pete, Matter, John, Meekins, David, Michaels, Robert, Mkrtchyan, Arthur, Mkrtchyan, Hamlet, Moore, Zae, Nazeer, S. J., Nanda, Shirsendu, Niculescu, Gabriel, Niculescu, Maria, Nguyen, Huong, Nuruzzaman, Nuruzzaman, Pandey, Bishnu, Park, Sanghwa, Pooser, Eric, Puckett, Andrew, Rehfuss, Melanie, Reinhold, Joerg, Sawatzky, Bradley, Smith, G., Szumila-Vance, Holly, Tadepalli, Arun, Tadevosyan, Vardan, Trotta, Richard, Wood, Stephen, Yero, Carlos, Zhang, Jinlong
Nucleon structure functions, as measured in lepton-nucleon scattering, have historically provided a critical observable in the study of partonic dynamics within the nucleon. However, at very large parton momenta it is both experimentally and theoreti
Externí odkaz:
http://arxiv.org/abs/2409.15236
Autor:
Jin, Zhijing, Kleiman-Weiner, Max, Piatti, Giorgio, Levine, Sydney, Liu, Jiarui, Gonzalez, Fernando, Ortu, Francesco, Strausz, András, Sachan, Mrinmaya, Mihalcea, Rada, Choi, Yejin, Schölkopf, Bernhard
We evaluate the moral alignment of large language models (LLMs) with human preferences in multilingual trolley problems. Building on the Moral Machine experiment, which captures over 40 million human judgments across 200+ countries, we develop a cros
Externí odkaz:
http://arxiv.org/abs/2407.02273
As deep learning applications become more prevalent, the need for extensive training examples raises concerns for sensitive, personal, or proprietary data. To overcome this, Federated Learning (FL) enables collaborative model training across distribu
Externí odkaz:
http://arxiv.org/abs/2407.02111
Autor:
Jin, Zhijing, Chen, Yuen, Gonzalez, Fernando, Liu, Jiarui, Zhang, Jiayi, Michael, Julian, Schölkopf, Bernhard, Diab, Mona
Traditionally, natural language processing (NLP) models often use a rich set of features created by linguistic expertise, such as semantic representations. However, in the era of large language models (LLMs), more and more tasks are turned into gener
Externí odkaz:
http://arxiv.org/abs/2405.01502
Autor:
Lyu, Zhiheng, Jin, Zhijing, Gonzalez, Fernando, Mihalcea, Rada, Schölkopf, Bernhard, Sachan, Mrinmaya
Sentiment analysis (SA) aims to identify the sentiment expressed in a text, such as a product review. Given a review and the sentiment associated with it, this work formulates SA as a combination of two tasks: (1) a causal discovery task that disting
Externí odkaz:
http://arxiv.org/abs/2404.11055
A variety of norm inequalities related to Bergman and Dirichlet spaces induced by radial weights are considered. Some of the results obtained can be considered as generalizations of certain known special cases while most of the estimates discovered a
Externí odkaz:
http://arxiv.org/abs/2311.06191
Autor:
Barni, Mauro, Campisi, Patrizio, Delp, Edward J., Doërr, Gwenael, Fridrich, Jessica, Memon, Nasir, Pérez-González, Fernando, Rocha, Anderson, Verdoliva, Luisa, Wu, Min
Information Forensics and Security (IFS) is an active R&D area whose goal is to ensure that people use devices, data, and intellectual properties for authorized purposes and to facilitate the gathering of solid evidence to hold perpetrators accountab
Externí odkaz:
http://arxiv.org/abs/2309.12159
This paper explores Neural Operators to predict turbulent flows, focusing on the Fourier Neural Operator (FNO) model. It aims to develop reduced-order/surrogate models for turbulent flow simulations using Machine Learning. Different model configurati
Externí odkaz:
http://arxiv.org/abs/2307.13517
The growing popularity of Deep Neural Networks, which often require computationally expensive training and access to a vast amount of data, calls for accurate authorship verification methods to deter unlawful dissemination of the models and identify
Externí odkaz:
http://arxiv.org/abs/2307.06695