Zobrazeno 1 - 10
of 12 691
pro vyhledávání: '"Rutherford, P"'
Autor:
Rutherford, Alexander, Beukman, Michael, Willi, Timon, Lacerda, Bruno, Hawes, Nick, Foerster, Jakob
What data or environments to use for training to improve downstream performance is a longstanding and very topical question in reinforcement learning. In particular, Unsupervised Environment Design (UED) methods have gained recent attention as their
Externí odkaz:
http://arxiv.org/abs/2408.15099
Autor:
Silva, Sara Neves, Woodgate, Tomas, McElroy, Sarah, Cleri, Michela, Clair, Kamilah St, Verdera, Jordina Aviles, Payette, Kelly, Uus, Alena, Story, Lisa, Lloyd, David, Rutherford, Mary A, Hajnal, Joseph V, Pushparajah, Kuberan, Hutter, Jana
Two subsequent deep learning networks, one localizing the fetal chest and one identifying a set of landmarks on a coronal whole-uterus balanced steady-state free precession scan, were trained on 167 and 71 fetal datasets across field strengths, acqui
Externí odkaz:
http://arxiv.org/abs/2408.06326
Autor:
Rutherford, Saige, Wolfers, Thomas, Fraza, Charlotte, Harrnet, Nathaniel G., Beckmann, Christian F., Ruhe, Henricus G., Marquand, Andre F.
Reference classes in healthcare establish healthy norms, such as pediatric growth charts of height and weight, and are used to chart deviations from these norms which represent potential clinical risk. How the demographics of the reference class infl
Externí odkaz:
http://arxiv.org/abs/2407.19114
Autor:
Li, N., Rutherford, A., Wang, Y. Y., Liang, H., Li, Q. J., Zhang, Z. J., Wang, H., Xie, W., Zhou, H. D., Sun, X. F.
We have grown single crystals of PrMgAl$_{11}$O$_{19}$, an ideal triangular-lattice antiferromagnet, and performed magnetic susceptibility, specific heat and thermal conductivity measurements at low temperatures. The main results are as follows: (i)
Externí odkaz:
http://arxiv.org/abs/2407.11167
Polycrystalline samples of RE2O2CO3 (RE = Pr, Nd, Gd, Tb, Dy, Ho, Er, and Yb) with a unique rare-earth bilayer of triangular lattice were synthesized and studied by DC and AC magnetic susceptibility. Data reveals various magnetic ground states includ
Externí odkaz:
http://arxiv.org/abs/2407.08606
Autor:
Rutherford, Nathan, Mendes, Melissa, Svensson, Isak, Schwenk, Achim, Watts, Anna L., Hebeler, Kai, Keller, Jonas, Prescod-Weinstein, Chanda, Choudhury, Devarshi, Raaijmakers, Geert, Salmi, Tuomo, Timmerman, Patrick, Vinciguerra, Serena, Guillot, Sebastien, Lattimer, James M.
Pulse profile modeling of X-ray data from NICER is now enabling precision inference of neutron star mass and radius. Combined with nuclear physics constraints from chiral effective field theory ($\chi$EFT), and masses and tidal deformabilities inferr
Externí odkaz:
http://arxiv.org/abs/2407.06790
Autor:
Choudhury, Devarshi, Salmi, Tuomo, Vinciguerra, Serena, Riley, Thomas E., Kini, Yves, Watts, Anna L., Dorsman, Bas, Bogdanov, Slavko, Guillot, Sebastien, Ray, Paul S., Reardon, Daniel J., Remillard, Ronald A., Bilous, Anna V., Huppenkothen, Daniela, Lattimer, James M., Rutherford, Nathan, Arzoumanian, Zaven, Gendreau, Keith C., Morsink, Sharon M., Ho, Wynn C. G.
We report Bayesian inference of the mass, radius and hot X-ray emitting region properties - using data from the Neutron Star Interior Composition ExploreR (NICER) - for the brightest rotation-powered millisecond X-ray pulsar PSR J0437$\unicode{x2013}
Externí odkaz:
http://arxiv.org/abs/2407.06789
Autor:
Miller, M. A., Arnold, D., Wigram, M., Nelson, A. O., Witham, J., Rutherford, G., Choudhury, H., Cummings, C., Paz-Soldan, C., Whyte, D. G.
This work explores power handling solutions for high-field, highly-radiative negative triangularity (NT) reactors based around the MANTA concept \cite{rutherford_manta_2024}. The divertor design is kept as simple as possible, opting for a standard di
Externí odkaz:
http://arxiv.org/abs/2407.06526
Autor:
Laosaengpha, Napat, Tativannarat, Thanit, Piansaddhayanon, Chawan, Rutherford, Attapol, Chuangsuwanich, Ekapol
Learning job title representation is a vital process for developing automatic human resource tools. To do so, existing methods primarily rely on learning the title representation through skills extracted from the job description, neglecting the rich
Externí odkaz:
http://arxiv.org/abs/2406.08055
Autor:
Trakuekul, Pontakorn, Leong, Wei Qi, Polpanumas, Charin, Sawatphol, Jitkapat, Tjhi, William Chandra, Rutherford, Attapol T.
While coreference resolution is a well-established research area in Natural Language Processing (NLP), research focusing on Thai language remains limited due to the lack of large annotated corpora. In this work, we introduce ThaiCoref, a dataset for
Externí odkaz:
http://arxiv.org/abs/2406.06000