Zobrazeno 1 - 10
of 59 092
pro vyhledávání: '"P, Burns"'
Autor:
Burns, Owen, Qureshi, Rizwan
We address the issue of the exploding computational requirements of recent State-of-the-art (SOTA) open set multimodel 3D mapping (dense 3D mapping) algorithms and present Voxel-Aggregated Feature Synthesis (VAFS), a novel approach to dense 3D mappin
Externí odkaz:
http://arxiv.org/abs/2411.10616
Autor:
Li, Maggie L., Ho, Anna Y. Q., Ryan, Geoffrey, Perley, Daniel A., Lamb, Gavin P., Nayana, A. J., Andreoni, Igor, Anupama, G. C., Bellm, Eric C., Berger, Edo, Bloom, Joshua S., Burns, Eric, Caiazzo, Ilaria, Chandra, Poonam, Coughlin, Michael W., El-Badry, Kareem, Graham, Matthew J., Kasliwal, Mansi, Keating, Garrett K., Kulkarni, S. R., Kumar, Harsh, Masci, Frank J., Perley, Richard A., Purdum, Josiah, Rao, Ramprasad, Rodriguez, Antonio C., Rusholme, Ben, Sarin, Nikhil, Sollerman, Jesper, Srinivasaragavan, Gokul P., Swain, Vishwajeet, Vanderbosch, Zachary
In the past few years, the improved sensitivity and cadence of wide-field optical surveys have enabled the discovery of several afterglows without associated detected gamma-ray bursts (GRBs). We present the identification, observations, and multiwave
Externí odkaz:
http://arxiv.org/abs/2411.07973
The susceptibility of timestepping algorithms to numerical instabilities is an important consideration when simulating partial differential equations (PDEs). Here we identify and analyze a pernicious numerical instability arising in pseudospectral si
Externí odkaz:
http://arxiv.org/abs/2411.07286
Autor:
Palepu, Anil, Dhillon, Vikram, Niravath, Polly, Weng, Wei-Hung, Prasad, Preethi, Saab, Khaled, Tanno, Ryutaro, Cheng, Yong, Mai, Hanh, Burns, Ethan, Ajmal, Zainub, Kulkarni, Kavita, Mansfield, Philip, Webster, Dale, Barral, Joelle, Gottweis, Juraj, Schaekermann, Mike, Mahdavi, S. Sara, Natarajan, Vivek, Karthikesalingam, Alan, Tu, Tao
Large language models (LLMs) have shown remarkable progress in encoding clinical knowledge and responding to complex medical queries with appropriate clinical reasoning. However, their applicability in subspecialist or complex medical settings remain
Externí odkaz:
http://arxiv.org/abs/2411.03395
Autor:
Mirchandani, Suvir, Yuan, David D., Burns, Kaylee, Islam, Md Sazzad, Zhao, Tony Z., Finn, Chelsea, Sadigh, Dorsa
In recent years, imitation learning from large-scale human demonstrations has emerged as a promising paradigm for training robot policies. However, the burden of collecting large quantities of human demonstrations is significant in terms of collectio
Externí odkaz:
http://arxiv.org/abs/2411.01915
Autor:
Burns, Thomas F
Southeast Asia is a geopolitically and socio-economically significant region with unique challenges and opportunities. Intensifying progress in generative AI against a backdrop of existing health security threats makes applications of AI to mitigate
Externí odkaz:
http://arxiv.org/abs/2411.14435
Autor:
Fryer, Christopher L., Burns, Eric, Ho, Anna Y. Q., Corsi, Alessandra, Lien, Amy Y., Perley, Daniel A., Vail, Jada L., Villar, V. Ashley
For over 25 years, the origin of long-duration gamma-ray bursts (lGRBs) has been linked to the collapse of rotating massive stars. However, we have yet to pinpoint the stellar progenitor powering these transients. Moreover, the dominant engine poweri
Externí odkaz:
http://arxiv.org/abs/2410.10378
Autor:
Hipp, A. T., Quiskamp, A., Caligiure, T. J., Gleason, J. R., Han, Y., Jois, S., Sikivie, P., Solano, M. E., Sullivan, N. S., Tanner, D. B., Goryachev, M., Hartman, E., Tobar, M. E., McAllister, B. T., Duffy, L. D., Braine, T., Burns, E., Cervantes, R., Crisosto, N., Goodman, C., Guzzetti, M., Hanretty, C., Lee, S., Korandla, H., Leum, G., Mohapatra, P., Nitta, T., Rosenberg, L. J, Rybka, G., Sinnis, J., Zhang, D., Bartram, C., Dyson, T. A., Kuo, C. L., Ruppert, S., Withers, M. O., Awida, M. H., Bowring, D., Chou, A. S., Hollister, M., Knirck, S., Sonnenschein, A., Wester, W., Brodsky, J., Carosi, G., Du, N., Roberston, N., Woollett, N., Boutan, C., Jones, A. M., LaRoque, B. H., Lentz, E., Man, N. E., Oblath, N. S., Taubman, M. S., Yang, J., Khatiwada, R., Clarke, John, Siddiqi, I., Agrawal, A., Dixit, A. V., Daw, E. J., Perry, M. G., Buckley, J. H., Gaikwad, C., Hoffman, J., Murch, K. W., Russell, J.
The Axion Dark Matter eXperiment is sensitive to narrow axion flows, given axions compose a fraction of the dark matter with a non-negligible local density. Detecting these low-velocity dispersion flows requires a high spectral resolution and careful
Externí odkaz:
http://arxiv.org/abs/2410.09203
Autor:
De Geronimo, Gianluigi, Ray, Paul S., Wulf, Eric A., Wilson-Hodge, Colleen A., Burns, Eric, Evangelista, Yuri, Hutcheson, Anthony, Maccarone, Thomas J., Zampa, Gianluigi
This paper presents the NSX front-end ASIC, being developed to read charge signals from the HEMA and WFM X-ray detectors for the STROBE-X mission. The ASIC reads out signals from up to 64 anodes of linear Silicon Drift Detectors (SDDs). When unloaded
Externí odkaz:
http://arxiv.org/abs/2410.08344
Neural network (NN) emulators of the global 21 cm signal need emulation error much less than the observational noise in order to be used to perform unbiased Bayesian parameter inference. To this end, we introduce $\texttt{21cmLSTM}$ -- a long short-t
Externí odkaz:
http://arxiv.org/abs/2410.07619