Zobrazeno 1 - 10
of 399 373
pro vyhledávání: '"Harrison, A. A."'
New tactile interfaces such as swell form printing or refreshable tactile displays promise to allow visually impaired people to analyze data. However, it is possible that design guidelines and familiar encodings derived from experiments on the visual
Externí odkaz:
http://arxiv.org/abs/2410.08438
Hierarchical policies enable strong performance in many sequential decision-making problems, such as those with high-dimensional action spaces, those requiring long-horizon planning, and settings with sparse rewards. However, learning hierarchical po
Externí odkaz:
http://arxiv.org/abs/2410.07933
Moderate to severe post-acute sequelae of SARS-CoV-2 infection (PASC), also called long COVID, is estimated to impact as many as 10% of SARS-CoV-2 infected individuals, representing a chronic condition with a substantial global public health burden.
Externí odkaz:
http://arxiv.org/abs/2410.07357
Autor:
Boorman, Peter G., Stern, Daniel, Assef, Roberto J., Borkar, Abhijeet, Brightman, Murray, Buchner, Johannes, Chen, Chien-Ting, Earnshaw, Hannah P., Harrison, Fiona A., Matzeu, Gabriele A., Pfeifle, Ryan W., Ricci, Claudio, Svoboda, Jiří, Torres-Albà, Núria, Zaw, Ingyin
Recent models suggest approximately half of all accreting supermassive black holes (SMBHs; $M_{\rm BH}$ $\gtrsim$ 10$^{5}$ M$_{\odot}$) are expected to undergo intense growth phases behind Compton-thick ($N_{\rm H}$ $>$ 1.5 $\times$ 10$^{24}$ cm$^{-2
Externí odkaz:
http://arxiv.org/abs/2410.07342
Autor:
Boorman, Peter G., Gandhi, Poshak, Buchner, Johannes, Stern, Daniel, Ricci, Claudio, Baloković, Mislav, Asmus, Daniel, Harrison, Fiona A., Svoboda, Jiří, Greenwell, Claire, Koss, Michael, Alexander, David M., Annuar, Adlyka, Bauer, Franz, Brandt, William N., Brightman, Murray, Panessa, Francesca, Chen, Chien-Ting J., Farrah, Duncan, Forster, Karl, Grefenstette, Brian, Hönig, Sebastian F., Hill, Adam B., Kammoun, Elias, Lansbury, George, Lanz, Lauranne, LaMassa, Stephanie, Madsen, Kristin, Marchesi, Stefano, Middleton, Matthew, Mingo, Beatriz, Parker, Michael L., Treister, Ezequiel, Ueda, Yoshihiro, Urry, C. Megan, Zappacosta, Luca
Hard X-ray-selected samples of Active Galactic Nuclei (AGN) provide one of the cleanest views of supermassive black hole accretion, but are biased against objects obscured by Compton-thick gas column densities of $N_{\rm H}$ $>$ 10$^{24}$ cm$^{-2}$.
Externí odkaz:
http://arxiv.org/abs/2410.07339
Autor:
Ruby, Mason, Müller-Sánchez, Francisco, Comerford, Julia M., Stern, Daniel, Cales, Sabrina L., Harrison, Fiona, Malkan, Matthew A., Privon, George C., Treister, Ezequiel
Dual active galactic nuclei (AGN) offer a unique opportunity to probe the relationship between super massive black holes (SMBH) and their host galaxies as well as the role of major mergers in triggering AGN activity. The confirmed dual AGN Mrk 266 ha
Externí odkaz:
http://arxiv.org/abs/2410.05371
Approximately half of the world's population is multilingual, making multilingual ASR (MASR) essential. Deploying multiple monolingual models is challenging when the ground-truth language is unknown in advance. This motivates research efforts on conf
Externí odkaz:
http://arxiv.org/abs/2410.04478
Autor:
Fortman, Margaret A., Harrison, David C., Rodriguez, Ramiro H., Krebs, Zachary J., Han, Sangjun, Jang, Min Seok, McDermott, Robert, Girit, Caglar O., Brar, Victor W.
Josephson junction spectroscopy is a powerful local microwave spectroscopy technique that has promising potential as a diagnostic tool to probe the microscopic origins of noise in superconducting qubits. We present advancements toward realizing Josep
Externí odkaz:
http://arxiv.org/abs/2410.03009
Time series data from observations of black hole ringdown gravitational waves are often analyzed in the time domain by using damped sinusoid models with acyclic boundary conditions. Data conditioning operations, including downsampling, filtering, and
Externí odkaz:
http://arxiv.org/abs/2410.02704
Autor:
Wang, Zixiang, Zhu, Yinghao, Zhao, Huiya, Zheng, Xiaochen, Wang, Tianlong, Tang, Wen, Wang, Yasha, Pan, Chengwei, Harrison, Ewen M., Gao, Junyi, Ma, Liantao
We introduce ColaCare, a framework that enhances Electronic Health Record (EHR) modeling through multi-agent collaboration driven by Large Language Models (LLMs). Our approach seamlessly integrates domain-specific expert models with LLMs to bridge th
Externí odkaz:
http://arxiv.org/abs/2410.02551