Zobrazeno 1 - 10
of 31 606
pro vyhledávání: '"A, Fries"'
Autor:
Sirimanna, C., Tachibana, Y., Majumder, A., Angerami, A., Arora, R., Bass, S. A., Chen, Y., Datta, R., Du, L., Ehlers, R., Elfner, H., Fries, R. J., Gale, C., He, Y., Jacak, B. V., Jacobs, P. M., Jeon, S., Ji, Y., Jonas, F., Kasper, L., Kordell II, M., Kumar, A., Kunnawalkam-Elayavalli, R., Latessa, J., Lee, Y. -J., Lemmon, R., Luzum, M., Mak, S., Mankolli, A., Martin, C., Mehryar, H., Mengel, T., Nattrass, C., Norman, J., Parker, C., Paquet, J. -F., Putschke, J. H., Roch, H., Roland, G., Schenke, B., Schwiebert, L., Sengupta, A., Shen, C., Singh, M., Soeder, D., Soltz, R. A., Soudi, I., Velkovska, J., Vujanovic, G., Wang, X. -N., Wu, X., Zhao, W.
An investigation of high transverse momentum (high-$p_T$) photon triggered jets in proton-proton ($p$-$p$) and ion-ion ($A$-$A$) collisions at $\sqrt{s_{NN}} = 0.2$ and $5.02~\mathrm{TeV}$ is carried out, using the multistage description of in-medium
Externí odkaz:
http://arxiv.org/abs/2412.19738
Autor:
Munnangi, Monica, Swaminathan, Akshay, Fries, Jason Alan, Jindal, Jenelle, Narayanan, Sanjana, Lopez, Ivan, Tu, Lucia, Chung, Philip, Omiye, Jesutofunmi A., Kashyap, Mehr, Shah, Nigam
Verifying factual claims is critical for using large language models (LLMs) in healthcare. Recent work has proposed fact decomposition, which uses LLMs to rewrite source text into concise sentences conveying a single piece of information, as an appro
Externí odkaz:
http://arxiv.org/abs/2412.12422
This work focuses on model preparation for electrostatic simulations of CAD designs to realize a rapid virtual prototyping concept. We present a boundary element method (BEM) allowing discontinuous fields between surfaces. The corresponding edges of
Externí odkaz:
http://arxiv.org/abs/2412.09136
Autor:
Wornow, Michael, Bedi, Suhana, Hernandez, Miguel Angel Fuentes, Steinberg, Ethan, Fries, Jason Alan, Ré, Christopher, Koyejo, Sanmi, Shah, Nigam H.
Foundation Models (FMs) trained on Electronic Health Records (EHRs) have achieved state-of-the-art results on numerous clinical prediction tasks. However, most existing EHR FMs have context windows of <1k tokens. This prevents them from modeling full
Externí odkaz:
http://arxiv.org/abs/2412.16178
Inequalities between Dirichlet and Neumann eigenvalues of the Laplacian and of other differential operators have been intensively studied in the past decades. The aim of this paper is to introduce differential forms and the de Rham complex in the stu
Externí odkaz:
http://arxiv.org/abs/2412.03369
Autor:
Fries, Jacques, Diaz, Javier, Jardat, Marie, Pagonabarraga, Ignacio, Illien, Pierre, Dahirel, Vincent
The formation of condensates is now considered as a major organization principle of eukaryotic cells. Several studies have recently shown that the properties of these condensates are affected by enzymatic reactions. We propose here a simple generic m
Externí odkaz:
http://arxiv.org/abs/2411.11696
Autor:
Huo, Zepeng, Fries, Jason Alan, Lozano, Alejandro, Valanarasu, Jeya Maria Jose, Steinberg, Ethan, Blankemeier, Louis, Chaudhari, Akshay S., Langlotz, Curtis, Shah, Nigam H.
With the rise of medical foundation models and the growing availability of imaging data, scalable pretraining techniques offer a promising way to identify imaging biomarkers predictive of future disease risk. While current self-supervised methods for
Externí odkaz:
http://arxiv.org/abs/2411.09361
Autor:
Bošnjak, Domagoj, Schussnig, Richard, Ranftl, Sascha, Holzapfel, Gerhard A., Fries, Thomas-Peter
In the context of numerical simulations of the vascular system, local geometric uncertainties have not yet been examined in sufficient detail due to model complexity and the associated large numerical effort. Such uncertainties are related to geometr
Externí odkaz:
http://arxiv.org/abs/2410.19472
Autor:
Kainz, Johannes, Makwana, Nikitabahen N., Kumar, Bipin, Ravichandran, S., Fries, Johan, Sardina, Gaetano, Mehlig, Bernhard, Hoffmann, Fabian
Considering turbulence is crucial to understanding clouds. However, covering all scales involved in the turbulent mixing of clouds with their environment is computationally challenging, urging the development of simpler models to represent some of th
Externí odkaz:
http://arxiv.org/abs/2410.03789
Autor:
Fries, Logan B., Trump, Jonathan R., Horne, Keith, Davis, Megan C., Grier, Catherine J., Shen, Yue, Anderson, Scott F., Dwelly, Tom, Homayouni, Y., Morrison, Sean, Runnoe, Jessie C., Trakhtenbrot, Benny, Assef, Roberto J., Bizyaev, Dmitry, Brandt, W. N., Breiding, Peter, Browstein, Joel, Chakraborty, Priyanka, Hall, P. B., Koekemoer, Anton M., Ibarra-Medel, Héctor J., Martínez-Aldama, Mary Loli, Negrete, C. Alenka, Pan, Kaike, Ricci, Claudio, Scheider, Donald P., Sharp, Hugh W., Smith, Theodore B., Stone, Zachary, Temple, Matthew J.
We present a velocity-resolved reverberation mapping analysis of the hypervariable quasar RM160 (SDSS J141041.25+531849.0) at z = 0.359 with 153 spectroscopic epochs of data representing a ten-year baseline (2013-2023). We split the baseline into two
Externí odkaz:
http://arxiv.org/abs/2409.12229