Zobrazeno 1 - 10
of 20 330
pro vyhledávání: '"A P Manning"'
Autor:
Jones, D. O., McGill, P., Manning, T. A., Gagliano, A., Wang, B., Coulter, D. A., Foley, R. J., Narayan, G., Villar, V. A., Braff, L., Engel, A. W., Farias, D., Lai, Z., Loertscher, K., Kutcka, J., Thorp, S., Vazquez, J.
Characterizing the host galaxies of astrophysical transients is important to many areas of astrophysics, including constraining the progenitor systems of core-collapse supernovae, correcting Type Ia supernova distances, and probabilistically classify
Externí odkaz:
http://arxiv.org/abs/2410.17322
Autor:
Cooper, Olivia R., Brammer, Gabriel, Heintz, Kasper E., Toft, Sune, Casey, Caitlin M., Setton, David J., de Graaff, Anna, Boogaard, Leindert, Cleri, Nikko J., Gillman, Steven, Gottumukkala, Rashmi, Greene, Jenny E., Gullberg, Bitten, Hirschmann, Michaela, Hviding, Raphael E., Lambrides, Erini, Leja, Joel, Long, Arianna S., Manning, Sinclaire M., Maseda, Michael V., McConachie, Ian, McKinney, Jed, Narayanan, Desika, Price, Sedona H., Strait, Victoria, Weibel, Andrea, Williams, Christina C.
The dearth of high quality spectroscopy of dusty star-forming galaxies (DSFGs) -- the main drivers of the assembly of dust and stellar mass at the peak of activity in the Universe -- greatly hinders our ability to interpret their physical processes a
Externí odkaz:
http://arxiv.org/abs/2410.08387
Autor:
Chai, Wenhao, Song, Enxin, Du, Yilun, Meng, Chenlin, Madhavan, Vashisht, Bar-Tal, Omer, Hwang, Jeng-Neng, Xie, Saining, Manning, Christopher D.
Video detailed captioning is a key task which aims to generate comprehensive and coherent textual descriptions of video content, benefiting both video understanding and generation. In this paper, we propose AuroraCap, a video captioner based on a lar
Externí odkaz:
http://arxiv.org/abs/2410.03051
We introduce NNetscape Navigator (NNetnav), a method for training web agents entirely through synthetic demonstrations. These demonstrations are collected by first interacting with a browser to generate trajectory rollouts, which are then retroactive
Externí odkaz:
http://arxiv.org/abs/2410.02907
Autor:
Williams, Christina C., Oesch, Pascal A., Weibel, Andrea, Brammer, Gabriel, Cloonan, Aidan P., Whitaker, Katherine E., Barrufet, Laia, Bezanson, Rachel, Bowler, Rebecca A. A., Dayal, Pratika, Franx, Marijn, Greene, Jenny E., Hutter, Anne, Ji, Zhiyuan, Labbé, Ivo, Manning, Sinclaire M., Maseda, Michael V., Xiao, Mengyuan
We present the PANORAMIC survey, a pure parallel extragalactic imaging program with NIRCam observed during JWST Cycle 1. The survey obtained $\sim$530 sq arcmin of NIRCam imaging from 1-5$\mu$m, totaling $\sim$192 hours of science integration time. T
Externí odkaz:
http://arxiv.org/abs/2410.01875
Autor:
Fu, Kexue, Luo, Xiaoyuan, Qu, Linhao, Wang, Shuo, Xiong, Ying, Maglogiannis, Ilias, Gao, Longxiang, Wang, Manning
The expensive fine-grained annotation and data scarcity have become the primary obstacles for the widespread adoption of deep learning-based Whole Slide Images (WSI) classification algorithms in clinical practice. Unlike few-shot learning methods in
Externí odkaz:
http://arxiv.org/abs/2409.19720
Instruction tuning commonly means finetuning a language model on instruction-response pairs. We discover two forms of adaptation (tuning) that are deficient compared to instruction tuning, yet still yield instruction following; we call this implicit
Externí odkaz:
http://arxiv.org/abs/2409.14254
Autor:
Cruz-Camacho, Nikolas, Kumar, Rajesh, Pelicer, Mateus Reinke, Peterson, Jeff, Manning, T. Andrew, Haas, Roland, Dexheimer, Veronica, Noronha-Hostler, Jaquelyn
In this paper we explore independently for the first time three chemical potentials (baryon $\mu_B$, charged $\mu_Q$, and strange $\mu_S$) in the Chiral mean-field (CMF) model. We designed and implemented \texttt{CMF++}, a new version of the CMF mode
Externí odkaz:
http://arxiv.org/abs/2409.06837
Autor:
Long, Arianna S., Casey, Caitlin M., McKinney, Jed, Zavala, Jorge A., Akins, Hollis B., Cooper, Olivia R., Lambrides, Matthieu Bethermin Erini L., Franco, Maximilien, Caputi, Karina, Champagne, Jaclyn B., Man, Allison W. S., Treister, Ezequiel, Manning, Sinclaire M., Sanders, David B., Talia, Margherita, Aravena, Manuel, Clements, D. L., da Cunha, Elisabete, Faisst, Andreas L., Gentile, Fabrizio, Hodge, Jacqueline, Brammer, Gabriel, Brusa, Marcella, Finkelstein, Steven L., Fujimoto, Seiji, Hayward, Christopher C., Ilbert, Olivier, Jolly, Jean-Baptiste, Kartaltepe, Jeyhan S., Knudsen, Kirsten, Koekemoer, Anton M., Liu, Daizhong, Magdis, Georgios, McCracken, Henry Joy, Rhodes, Jason, Robertson, Brant E., Scoville, Nick, Sheth, Kartik, Smolcic, Vernesa, Spilker, Justin, Taniguchi, Yoshiaki, Toft, Sune, Urry, C. Megan, Yun, Min
One of the greatest challenges in galaxy evolution over the last decade has been constraining the prevalence of heavily dust-obscured galaxies in the early Universe. At $z>3$, these galaxies are increasingly rare, and difficult to identify as they ar
Externí odkaz:
http://arxiv.org/abs/2408.14546
The Linear Representation Hypothesis (LRH) states that neural networks learn to encode concepts as directions in activation space, and a strong version of the LRH states that models learn only such encodings. In this paper, we present a counterexampl
Externí odkaz:
http://arxiv.org/abs/2408.10920