Zobrazeno 1 - 10
of 53 867
pro vyhledávání: '"P. A West"'
Autor:
Bowens, Rory, Leisenring, Jarron, Meyer, Michael R., Tobin, Taylor L., Miller, Alyssa L., Monnier, John D., Viges, Eric, Hoffmann, Bill, Montoya, Manny, Durney, Olivier, West, Grant, Morzinski, Katie, Forrest, William, McMurtry, Craig
We present results from commissioning observations of the mid-IR instrument, MIRAC-5, on the 6.5-m MMT telescope. MIRAC-5 is a novel ground-based instrument that utilizes a state-of-the-art GeoSnap (2 - 13 microns) HgCdTe detector with adaptive optic
Externí odkaz:
http://arxiv.org/abs/2412.10189
Autor:
Kumar, A., Tierens, W., Younkin, T., Johnson, C., Klepper, C., Diaw, A., Lore, J., Grosjean, A., Urbanczyk, G., Hillariet, J., Tamain, P., Colas, L., Guillemaut, C., Curreli, D., Shiraiwa, S., Bertelli, N., team, the WEST
This paper introduces STRIPE (Simulated Transport of RF Impurity Production and Emission), an advanced modeling framework designed to analyze material erosion and the global transport of eroded impurities originating from radio-frequency (RF) antenna
Externí odkaz:
http://arxiv.org/abs/2412.08748
Autor:
Balkovitz, Sydney, Croco, Alyssa, Garda, Jake, Hatch, Maggie, Paul, Franklyn, Vu, Lauren, West, Tristan, Buxton, Gavin
We adapt the social force model of crowd dynamics to capture the evacuation during a zombie outbreak from an academic building. Individuals navigate the building, opening doors, and evacuate to the nearest exit. Zombies chase the uninfected individua
Externí odkaz:
http://arxiv.org/abs/2412.05444
Tokenization is an important preprocessing step in the training and inference of large language models (LLMs). While there has been extensive research on the expressive power of the neural achitectures used in LLMs, the impact of tokenization has not
Externí odkaz:
http://arxiv.org/abs/2412.03160
Traditional object detection methods operate under the closed-set assumption, where models can only detect a fixed number of objects predefined in the training set. Recent works on open vocabulary object detection (OVD) enable the detection of object
Externí odkaz:
http://arxiv.org/abs/2411.18207
Autor:
Xia, Mingkai, Zhang, Junhan, Wang, Ningshan, Antoniak, Gabriel, West, Nicole, Zhang, Ding, Shorter, Kenneth Alex
This article provides new insights into dolphin maneuver strategies in lap swimming tasks. However, most existing research focuses on straight-line swimming leaving the study of dolphins' corning strategies an open area. Challenges for directly analy
Externí odkaz:
http://arxiv.org/abs/2411.17688
Effective content moderation in online communities is often a delicate balance between maintaining content quality and fostering user participation. In this paper, we introduce post guidance, a novel approach to community moderation that proactively
Externí odkaz:
http://arxiv.org/abs/2411.16814
Autor:
Wijk, Hjalmar, Lin, Tao, Becker, Joel, Jawhar, Sami, Parikh, Neev, Broadley, Thomas, Chan, Lawrence, Chen, Michael, Clymer, Josh, Dhyani, Jai, Ericheva, Elena, Garcia, Katharyn, Goodrich, Brian, Jurkovic, Nikola, Kinniment, Megan, Lajko, Aron, Nix, Seraphina, Sato, Lucas, Saunders, William, Taran, Maksym, West, Ben, Barnes, Elizabeth
Frontier AI safety policies highlight automation of AI research and development (R&D) by AI agents as an important capability to anticipate. However, there exist few evaluations for AI R&D capabilities, and none that are highly realistic and have a d
Externí odkaz:
http://arxiv.org/abs/2411.15114
Autor:
Schizas, Ioannis, Sullivan, Sabrina, Kerick, Scott E., Mahmoodi, Korosh, Bradford, J. Cortney, Boothe, David L., Franaszczuk, Piotr J., Grigolini, Paolo, West, Bruce J.
We apply modified diffusion entropy analysis (MDEA) to assess multifractal dimensions of ON time series (ONTS) and complexity synchronization (CS) analysis to infer information transfer among ONs that are part of a network of organ networks (NoONs).
Externí odkaz:
http://arxiv.org/abs/2411.14602
Autor:
Nakhl, Azar C., Harper, Ben, West, Maxwell, Dowling, Neil, Sevior, Martin, Quella, Thomas, Usman, Muhammad
This work augments the recently introduced Stabilizer Tensor Network (STN) protocol with magic state injection, reporting a new framework with significantly enhanced ability to simulate circuits with an extensive number of non-Clifford operations. Sp
Externí odkaz:
http://arxiv.org/abs/2411.12482