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pro vyhledávání: '"So, Mary"'
Behind the scenes of maintaining the safety of technology products from harmful and illegal digital content lies unrecognized human labor. The recent rise in the use of generative AI technologies and the accelerating demands to meet responsible AI (R
Externí odkaz:
http://arxiv.org/abs/2411.01426
Autor:
Rowland, Melanie J., Morley, Caroline V., Miles, Brittany E., Suárez, Genaro, Faherty, Jacqueline K., Skemer, Andrew J., Beiler, Samuel A., Line, Michael R., Bjoraker, Gordon L., Fortney, Jonathan J., Vos, Johanna M., Merchan, Sherelyn Alejandro, Marley, Mark, Burningham, Ben, Freedman, Richard, Gharib-Nezhad, Ehsan, Batalha, Natasha, Lupu, Roxana, Visscher, Channon, Schneider, Adam C., Geballe, T. R., Carter, Aarynn, Allers, Katelyn, Mang, James, Apai, Dániel, Limbach, Mary Anne, Wilson, Mikayla J.
The coldest Y spectral type brown dwarfs are similar in mass and temperature to cool and warm ($\sim$200 -- 400 K) giant exoplanets. We can therefore use their atmospheres as proxies for planetary atmospheres, testing our understanding of physics and
Externí odkaz:
http://arxiv.org/abs/2411.14541
Autor:
Paschek, Dietmar, Busch, Johanna, Tony, Angel Mary Chiramel, Ludwig, Ralf, Strate, Anne, Stolte, Nore, Forbert, Harald, Marx, Dominik
In this contribution, we compute the $^1$H nuclear magnetic resonance (NMR) relaxation rate of liquid water at ambient conditions. We are using structural and dynamical information from Coupled Cluster Molecular Dynamics (CCMD) trajectories generated
Externí odkaz:
http://arxiv.org/abs/2411.12545
Sparse deep neural networks (DNNs) excel in real-world applications like robotics and computer vision, by reducing computational demands that hinder usability. However, recent studies aim to boost DNN efficiency by trimming redundant neurons or filte
Externí odkaz:
http://arxiv.org/abs/2411.09199
Statistical heterogeneity is a measure of how skewed the samples of a dataset are. It is a common problem in the study of differential privacy that the usage of a statistically heterogeneous dataset results in a significant loss of accuracy. In feder
Externí odkaz:
http://arxiv.org/abs/2411.04579
We show that the gravitational waveform emitted by a binary on an eccentric orbit can be naturally decomposed into a series of harmonics. The frequencies of these harmonics depend upon the radial frequency, $f_{\mathrm{r}}$, determined by the time to
Externí odkaz:
http://arxiv.org/abs/2411.04187
Autor:
Salvador, Mitch Arkeen, Botangen, Khavee Agustus, Rabang, Mary Camille, Salinas, Ivan Christian, Naagas, Marlon, Balagot, Angelika
The Central Luzon Agriculture, Aquatic and Natural Resources Research and Development Consortium (CLAARRDEC), comprising 29 member institutions, faces challenges in effectively monitoring and evaluating their R&D activities. To address these challeng
Externí odkaz:
http://arxiv.org/abs/2411.00483
Autor:
Myers, Samuel A., Howell, Ellen S., Magri, Christopher, Vervack Jr., Ronald J., Fernández, Yanga R., Hinkle, Mary L., Marshall, Sean E.
Publikováno v:
Planet. Sci. J. 5 238 (2024)
Understanding the properties of near-Earth asteroids (NEAs) is key for many aspects of planetary science, particularly planetary defense. Our current knowledge of NEA sizes and regolith properties is heavily dependent on simple thermal models. These
Externí odkaz:
http://arxiv.org/abs/2410.24101
Autor:
Kassab, Karim, Schnepf, Antoine, Franceschi, Jean-Yves, Caraffa, Laurent, Vasile, Flavian, Mary, Jeremie, Comport, Andrew, Gouet-Brunet, Valérie
While the field of inverse graphics has been witnessing continuous growth, techniques devised thus far predominantly focus on learning individual scene representations. In contrast, learning large sets of scenes has been a considerable bottleneck in
Externí odkaz:
http://arxiv.org/abs/2410.23742
Autor:
Schnepf, Antoine, Kassab, Karim, Franceschi, Jean-Yves, Caraffa, Laurent, Vasile, Flavian, Mary, Jeremie, Comport, Andrew, Gouet-Brunet, Valerie
While pre-trained image autoencoders are increasingly utilized in computer vision, the application of inverse graphics in 2D latent spaces has been under-explored. Yet, besides reducing the training and rendering complexity, applying inverse graphics
Externí odkaz:
http://arxiv.org/abs/2410.22936