Zobrazeno 1 - 10
of 15 825
pro vyhledávání: '"Lemon, A."'
Autor:
Abe, Katsuya T., Oguri, Masamune, Birrer, Simon, Khadka, Narayan, Marshall, Philip J., Lemon, Cameron, More, Anupreeta, Collaboration, the LSST Dark Energy Science
Time delays in both galaxy- and cluster-scale strong gravitational lenses have recently attracted a lot of attention in the context of the Hubble tension. Future wide-field cadenced surveys, such as the LSST, are anticipated to discover strong lenses
Externí odkaz:
http://arxiv.org/abs/2411.07509
Autor:
Dux, F., Millon, M., Lemon, C., Schmidt, T., Courbin, F., Shajib, A. J., Treu, T., Birrer, S., Wong, K. C., Agnello, A., Andrade, A., Galan, A. A., Hjorth, J., Paic, E., Schuldt, S., Schweinfurth, A., Sluse, D., Smette, A., Suyu, S. H.
We report the discovery of the first example of an Einstein zig-zag lens, an extremely rare lensing configuration. In this system, J1721+8842, six images of the same background quasar are formed by two intervening galaxies, one at redshift $z_1 = 0.1
Externí odkaz:
http://arxiv.org/abs/2411.04177
Autor:
Pantazopoulos, Georgios, Nikandrou, Malvina, Suglia, Alessandro, Lemon, Oliver, Eshghi, Arash
This study explores replacing Transformers in Visual Language Models (VLMs) with Mamba, a recent structured state space model (SSM) that demonstrates promising performance in sequence modeling. We test models up to 3B parameters under controlled cond
Externí odkaz:
http://arxiv.org/abs/2409.05395
Autor:
Lemon, Martyn, Wang, Yongqiang
Synchronization and desynchronization in networks is a highly studied topic in many electrical systems, but there is a distinct lack of research on this topic with respect to robotics. Creating an effective decentralized synchronization algorithm for
Externí odkaz:
http://arxiv.org/abs/2407.04832
Autor:
Suglia, Alessandro, Greco, Claudio, Baker, Katie, Part, Jose L., Papaioannou, Ioannis, Eshghi, Arash, Konstas, Ioannis, Lemon, Oliver
AI personal assistants deployed via robots or wearables require embodied understanding to collaborate with humans effectively. However, current Vision-Language Models (VLMs) primarily focus on third-person view videos, neglecting the richness of egoc
Externí odkaz:
http://arxiv.org/abs/2406.13807
Autor:
Keeley, Ryan E., Nierenberg, Anna M., Gilman, Daniel, Gannon, Charles, Birrer, Simon, Treu, Tommaso, Benson, Andrew J., Du, Xiaolong, Abazajian, K. N., Anguita, T., Bennert, V. N., Djorgovski, S. G., Gupta, K. K., Hoenig, S. F., Kusenko, A., Lemon, C., Malkan, M., Motta, V., Moustakas, L. A., Oh, M. S. H., Sluse, D., Stern, D., Wechsler, R. H.
This is the second in a series of papers in which we use JWST MIRI multiband imaging to measure the warm dust emission in a sample of 31 multiply imaged quasars, to be used as a probe of the particle nature of dark matter. We present measurements of
Externí odkaz:
http://arxiv.org/abs/2405.01620
Autor:
Schechter, Paul L., Sluse, Dominique, Zaborowski, Erik A., Drlica-Wagner, Alex, Lemon, Cameron, Courbin, Frederic, Hempel, Angela, Millon, Martin, Treu, Tommaso, Teixeira, Raul, Adamów, Monika, Bom, Clecio R., Carballo-Bello, Julio A., Ferguson, Peter S., Gruendl, Robert A., James, David J., Martinez-Vásquez, Clara E., Massana, Pol, Mau, Sidney, Mutlu-Pakdil, Burçin, Noël, Noëlia E. D., Pace, Andrew B., Sakowska, Joanna D., Stringfellow, Guy S., Tollerud, Erik J., Vivas, Kathy, Zenteno, Alfredo
A quadruply lensed source, J125856.3-031944, has been discovered using the DELVE survey and WISE W1 - W2 colors. Followup direct imaging carried out with the MPIA 2.2 m and the Baade 6.5 m telescopes is analyzed, as is spectroscopy from the 2.5 m Nor
Externí odkaz:
http://arxiv.org/abs/2404.14256
An effective method for combining frozen large language models (LLM) and visual encoders involves a resampler module that creates a `visual prompt' which is provided to the LLM, along with the textual prompt. While this approach has enabled impressiv
Externí odkaz:
http://arxiv.org/abs/2404.13594
Autor:
Alameda-Pineda, Xavier, Addlesee, Angus, García, Daniel Hernández, Reinke, Chris, Arias, Soraya, Arrigoni, Federica, Auternaud, Alex, Blavette, Lauriane, Beyan, Cigdem, Camara, Luis Gomez, Cohen, Ohad, Conti, Alessandro, Dacunha, Sébastien, Dondrup, Christian, Ellinson, Yoav, Ferro, Francesco, Gannot, Sharon, Gras, Florian, Gunson, Nancie, Horaud, Radu, D'Incà, Moreno, Kimouche, Imad, Lemaignan, Séverin, Lemon, Oliver, Liotard, Cyril, Marchionni, Luca, Moradi, Mordehay, Pajdla, Tomas, Pino, Maribel, Polic, Michal, Py, Matthieu, Rado, Ariel, Ren, Bin, Ricci, Elisa, Rigaud, Anne-Sophie, Rota, Paolo, Romeo, Marta, Sebe, Nicu, Sieińska, Weronika, Tandeitnik, Pinchas, Tonini, Francesco, Turro, Nicolas, Wintz, Timothée, Yu, Yanchao
Despite the many recent achievements in developing and deploying social robotics, there are still many underexplored environments and applications for which systematic evaluation of such systems by end-users is necessary. While several robotic platfo
Externí odkaz:
http://arxiv.org/abs/2404.07560
Autor:
Casadio, Marco, Dinkar, Tanvi, Komendantskaya, Ekaterina, Arnaboldi, Luca, Daggitt, Matthew L., Isac, Omri, Katz, Guy, Rieser, Verena, Lemon, Oliver
Deep neural networks have exhibited substantial success in the field of Natural Language Processing and ensuring their safety and reliability is crucial: there are safety critical contexts where such models must be robust to variability or attack, an
Externí odkaz:
http://arxiv.org/abs/2403.10144