Zobrazeno 1 - 10
of 174 526
pro vyhledávání: '"Hudson IN"'
Autor:
Guerrini, Sacha, Kilbinger, Martin, Leterme, Hubert, Guinot, Axel, Wang, Jingwei, Peters, Fabian Hervas, Hildebrandt, Hendrik, Hudson, Michael J., McConnachie, Alan
Weak gravitational lensing requires precise measurements of galaxy shapes and therefore an accurate knowledge of the PSF model. The latter can be a source of systematics that affect the shear two-point correlation function. A key stake of weak lensin
Externí odkaz:
http://arxiv.org/abs/2412.14666
Autor:
Carreira, João, Gokay, Dilara, King, Michael, Zhang, Chuhan, Rocco, Ignacio, Mahendran, Aravindh, Keck, Thomas Albert, Heyward, Joseph, Koppula, Skanda, Pot, Etienne, Erdogan, Goker, Hasson, Yana, Yang, Yi, Greff, Klaus, Moing, Guillaume Le, van Steenkiste, Sjoerd, Zoran, Daniel, Hudson, Drew A., Vélez, Pedro, Polanía, Luisa, Friedman, Luke, Duvarney, Chris, Goroshin, Ross, Allen, Kelsey, Walker, Jacob, Kabra, Rishabh, Aboussouan, Eric, Sun, Jennifer, Kipf, Thomas, Doersch, Carl, Pătrăucean, Viorica, Damen, Dima, Luc, Pauline, Sajjadi, Mehdi S. M., Zisserman, Andrew
Scaling has not yet been convincingly demonstrated for pure self-supervised learning from video. However, prior work has focused evaluations on semantic-related tasks $\unicode{x2013}$ action classification, ImageNet classification, etc. In this pape
Externí odkaz:
http://arxiv.org/abs/2412.15212
We introduce a hierarchical probabilistic approach to go from a 2D image to multiview 3D: a diffusion "prior" models the unseen 3D geometry, which then conditions a diffusion "decoder" to generate novel views of the subject. We use a pointmap-based g
Externí odkaz:
http://arxiv.org/abs/2412.10273
In randomized trials and observational studies, it is often necessary to evaluate the extent to which an intervention affects a time-to-event outcome, which is only partially observed due to right censoring. For instance, in infectious disease studie
Externí odkaz:
http://arxiv.org/abs/2412.09786
Autor:
Terhune, J. E. S., Elwell, R., Tan, H. B. Tran, Perera, U. C., Morgan, H. W. T., Alexandrova, A. N., Derevianko, Andrei, Hudson, Eric R.
The population dynamics of the 229Th isomeric state is studied in a solid-state host under laser illumination. A photoquenching process is observed, where off-resonant vacuum-ultraviolet (VUV) radiation leads to relaxation of the isomeric state. The
Externí odkaz:
http://arxiv.org/abs/2412.08998
In this work, we develop a simulation-based model to predict the excess surface mass density (ESD) depending on the local density environment. Using a conditional stellar mass function, our foreground galaxies are tailored toward the bright galaxy sa
Externí odkaz:
http://arxiv.org/abs/2412.07856
Autor:
Ke, Nan Rosemary, Sawyer, Danny P., Soyer, Hubert, Engelcke, Martin, Reichert, David P, Hudson, Drew A., Reid, John, Lerchner, Alexander, Rezende, Danilo Jimenez, Lillicrap, Timothy P, Mozer, Michael, Wang, Jane X
While problem solving is a standard evaluation task for foundation models, a crucial component of problem solving -- actively and strategically gathering information to test hypotheses -- has not been closely investigated. To assess the information g
Externí odkaz:
http://arxiv.org/abs/2412.06438
We investigate the solutions of the relaxed MHD model (RxMHD) of Dewar \& Qu [J. Plasma Phys. {\bf 88}, 835880101 (2022)]. This model is a generalization of Taylor relaxation that allows the ideal Ohm's law constraint to be included, and this offers
Externí odkaz:
http://arxiv.org/abs/2412.03931
Autor:
Peters, Fabian Hervas, Kilbinger, Martin, Paviot, Romain, Baumont, Lucie, Russier, Elisa, Zhang, Ziwen, Murray, Calum, Pettorino, Valeria, de Boer, Thomas, Fabbro, Sébastien, Guerrini, Sacha, Hildebrandt, Hendrik, Hudson, Mike, Van Waerbeke, Ludovic, Wittje, Anna
During their formation, galaxies are subject to tidal forces, which create correlations between their shapes and the large-scale structure of the Universe, known as intrinsic alignment. This alignment is a contamination for cosmic-shear measurements
Externí odkaz:
http://arxiv.org/abs/2412.01790
We present Track Anything Behind Everything (TABE), a novel dataset, pipeline, and evaluation framework for zero-shot amodal completion from visible masks. Unlike existing methods that require pretrained class labels, our approach uses a single query
Externí odkaz:
http://arxiv.org/abs/2411.19210