Zobrazeno 1 - 10
of 81 922
pro vyhledávání: '"A. Aurora"'
Autor:
Roy, Aurora Lithe, Siam, Md Kamrul, Prova, Nuzhat Noor Islam, Jahan, Sumaiya, Maruf, Abdullah Al
Diabetes, particularly Type 2 diabetes (T2D), poses a substantial global health burden, compounded by its associated complications such as cardiovascular diseases, kidney failure, and vision impairment. Early detection of T2D is critical for improvin
Externí odkaz:
http://arxiv.org/abs/2411.14471
Recent advances in Large Language Models (LLMs) have helped facilitate exciting progress for robotic planning in real, open-world environments. 3D scene graphs (3DSGs) offer a promising environment representation for grounding such LLM-based planners
Externí odkaz:
http://arxiv.org/abs/2410.23968
A B-mode polarization signal in the cosmic microwave background is widely regarded as smoking gun evidence for gravitational waves produced during inflation. Here we demonstrate that tensor perturbations from a cosmological phase transition in the po
Externí odkaz:
http://arxiv.org/abs/2410.23348
Data stream learning is a very relevant paradigm because of the increasing real-world scenarios generating data at high velocities and in unbounded sequences. Stream learning aims at developing models that can process instances as they arrive, so mod
Externí odkaz:
http://arxiv.org/abs/2410.20242
The Standard Model of particle physics does not explain the origin of the universe's baryon asymmetry or its primordial fluctuations. The Affleck-Dine mechanism is a well-motivated scenario for generating the baryon asymmetry through the post-inflati
Externí odkaz:
http://arxiv.org/abs/2410.13712
Autor:
Rivera, Corban, Byrd, Grayson, Paul, William, Feldman, Tyler, Booker, Meghan, Holmes, Emma, Handelman, David, Kemp, Bethany, Badger, Andrew, Schmidt, Aurora, Jatavallabhula, Krishna Murthy, de Melo, Celso M, Seenivasan, Lalithkumar, Unberath, Mathias, Chellappa, Rama
Robotic planning and execution in open-world environments is a complex problem due to the vast state spaces and high variability of task embodiment. Recent advances in perception algorithms, combined with Large Language Models (LLMs) for planning, of
Externí odkaz:
http://arxiv.org/abs/2410.06108
Spiking Neural Networks (SNNs) and neuromorphic computing offer bio-inspired advantages such as sparsity and ultra-low power consumption, providing a promising alternative to conventional networks. However, training deep SNNs from scratch remains a c
Externí odkaz:
http://arxiv.org/abs/2410.00580
Autor:
Oza, Apurva V., Seidel, Julia V., Hoeijmakers, H. Jens, Unni, Athira, Kesseli, Aurora Y., Schmidt, Carl A., Thirupathi, Sivarani, Bello-Arufe, Aaron, Gebek, Andrea, Westram, Moritz Meyer zu, Sousa, Sérgio G., Lopes, Rosaly M. C., Hu, Renyu, de Kleer, Katherine, Fisher, Chloe, Charnoz, Sébastien, Baker, Ashley D., Halverson, Samuel P., Schneider, Nicholas M., Psaridi, Angelica, Wyttenbach, Aurélien, Torres, Santiago, Bhatnagar, Ishita, Johnson, Robert E.
Neutral sodium (Na I) is an alkali metal with a favorable absorption cross section such that tenuous gases are easily illuminated at select transiting exoplanet systems. We examine both the time-averaged and time-series alkali spectral flux individua
Externí odkaz:
http://arxiv.org/abs/2409.19844
Autor:
Zhang, Yapeng, Picos, Darío González, de Regt, Sam, Snellen, Ignas A. G., Gandhi, Siddharth, Ginski, Christian, Kesseli, Aurora Y., Landman, Rico, Mollière, Paul, Nasedkin, Evert, Sánchez-López, Alejandro, Stolker, Tomas, Inglis, Julie, Knutson, Heather A., Mawet, Dimitri, Wallack, Nicole, Xuan, Jerry W.
High-resolution spectroscopic characterization of young super-Jovian planets enables precise constraints on elemental and isotopic abundances of their atmospheres. As part of the ESO SupJup Survey, we present high-resolution spectral observations of
Externí odkaz:
http://arxiv.org/abs/2409.16660
Clustering algorithms rely on complex optimisation processes that may be difficult to comprehend, especially for individuals who lack technical expertise. While many explainable artificial intelligence techniques exist for supervised machine learning
Externí odkaz:
http://arxiv.org/abs/2409.12632