Zobrazeno 1 - 10
of 60 239
pro vyhledávání: '"Erin, E."'
Autor:
The Multimodal Universe Collaboration, Audenaert, Jeroen, Bowles, Micah, Boyd, Benjamin M., Chemaly, David, Cherinka, Brian, Ciucă, Ioana, Cranmer, Miles, Do, Aaron, Grayling, Matthew, Hayes, Erin E., Hehir, Tom, Ho, Shirley, Huertas-Company, Marc, Iyer, Kartheik G., Jablonska, Maja, Lanusse, Francois, Leung, Henry W., Mandel, Kaisey, Martínez-Galarza, Juan Rafael, Melchior, Peter, Meyer, Lucas, Parker, Liam H., Qu, Helen, Shen, Jeff, Smith, Michael J., Stone, Connor, Walmsley, Mike, Wu, John F.
We present the MULTIMODAL UNIVERSE, a large-scale multimodal dataset of scientific astronomical data, compiled specifically to facilitate machine learning research. Overall, the MULTIMODAL UNIVERSE contains hundreds of millions of astronomical observ
Externí odkaz:
http://arxiv.org/abs/2412.02527
Autor:
Larison, Conor, Pierel, Justin D. R., Newman, Max J. B., Jha, Saurabh W., Gilman, Daniel, Hayes, Erin E., Agrawal, Aadya, Arendse, Nikki, Birrer, Simon, Bronikowski, Mateusz, Della Costa, John M., Coulter, David A., Courbin, Frédéric, Chakrabarti, Sukanya, Diego, Jose M., Dhawan, Suhail, Goobar, Ariel, Gall, Christa, Hjorth, Jens, Huang, Xiaosheng, Mao, Shude, Marques-Chaves, Rui, Mazzali, Paolo A., More, Anupreeta, Moustakas, Leonidas A., Pérez-Fournon, Ismael, Petrushevska, Tanja, Poidevin, Frédérick, Rest, Armin, Shajib, Anowar J., Shirley, Raphael, Sheu, William, Strolger, Louis-Gregory, Suyu, Sherry H., Treu, Tommaso, Zenati, Yossef
Strongly lensed supernovae (SNe) are a rare class of transient that can offer tight cosmological constraints that are complementary to methods from other astronomical events. We present a follow-up study of one recently-discovered strongly lensed SN,
Externí odkaz:
http://arxiv.org/abs/2409.17239
Autor:
Santos-Fernandez, Edgar, Hoef, Jay M. Ver, Peterson, Erin E., McGree, James, Villa, Cesar A., Leigh, Catherine, Turner, Ryan, Roberts, Cameron, Mengersen, Kerrie
The use of in-situ digital sensors for water quality monitoring is becoming increasingly common worldwide. While these sensors provide near real-time data for science, the data are prone to technical anomalies that can undermine the trustworthiness o
Externí odkaz:
http://arxiv.org/abs/2409.07667
Autor:
Trella, Anna L., Ghosh, Susobhan, Bonar, Erin E., Coughlin, Lara, Doshi-Velez, Finale, Guo, Yongyi, Hung, Pei-Yao, Nahum-Shani, Inbal, Shetty, Vivek, Walton, Maureen, Yan, Iris, Zhang, Kelly W., Murphy, Susan A.
Online AI decision-making algorithms are increasingly used by digital interventions to dynamically personalize treatment to individuals. These algorithms determine, in real-time, the delivery of treatment based on accruing data. The objective of this
Externí odkaz:
http://arxiv.org/abs/2409.10526
SARS-CoV-2 usually evolves at a relatively constant rate over time. Occasionally, however, lineages arise with higher-than-expected numbers of mutations given the date of sampling. Such lineages can arise for a variety of reasons, including selection
Externí odkaz:
http://arxiv.org/abs/2407.11201
When the target of inference is a real-valued function of probability parameters in the k-sample multinomial problem, variance estimation may be challenging. In small samples, methods like the nonparametric bootstrap or delta method may perform poorl
Externí odkaz:
http://arxiv.org/abs/2406.19141
Autor:
Gill, Erin E., Jia, Baofeng, Murall, Carmen Lia, Poujol, Raphaël, Anwar, Muhammad Zohaib, John, Nithu Sara, Richardsson, Justin, Hobb, Ashley, Olabode, Abayomi S., Lepsa, Alexandru, Duggan, Ana T., Tyler, Andrea D., N'Guessan, Arnaud, Kachru, Atul, Chan, Brandon, Yoshida, Catherine, Yung, Christina K., Bujold, David, Andric, Dusan, Su, Edmund, Griffiths, Emma J., Van Domselaar, Gary, Jolly, Gordon W., Ward, Heather K. E., Feher, Henrich, Baker, Jared, Simpson, Jared T., Uddin, Jaser, Ragoussis, Jiannis, Eubank, Jon, Fritz, Jörg H., Gálvez, José Héctor, Fang, Karen, Cullion, Kim, Rivera, Leonardo, Xiang, Linda, Croxen, Matthew A., Shiell, Mitchell, Prystajecky, Natalie, Quirion, Pierre-Olivier, Bajari, Rosita, Rich, Samantha, Mubareka, Samira, Moreira, Sandrine, Cain, Scott, Sutcliffe, Steven G., Kraemer, Susanne A., Joly, Yann, Alturmessov, Yelizar, consortium, CPHLN, consortium, CanCOGeN, Academic, VirusSeq Data Portal, network, Health, Fiume, Marc, Snutch, Terrance P., Bell, Cindy, Lopez-Correa, Catalina, Hussin, Julie G., Joy, Jeffrey B., Colijn, Caroline, Gordon, Paul M. K., Hsiao, William W. L., Poon, Art F. Y., Knox, Natalie C., Courtot, Mélanie, Stein, Lincoln, Otto, Sarah P., Bourque, Guillaume, Shapiro, B. Jesse, Brinkman, Fiona S. L.
The COVID-19 pandemic led to a large global effort to sequence SARS-CoV-2 genomes from patient samples to track viral evolution and inform public health response. Millions of SARS-CoV-2 genome sequences have been deposited in global public repositori
Externí odkaz:
http://arxiv.org/abs/2405.04734
Autor:
Chang, Charlotte H., Erbaugh, James T., Fajardo, Paola, Lu, Luci, Molnár, István, Papp, Dávid, Robinson, Brian E., Austin, Kemen, Cook-Patton, Susan, Kroeger, Timm, Smart, Lindsey, Castro, Miguel, Cheng, Samantha H., Ellis, Peter W., McDonald, Rob I., Garg, Teevrat, Poor, Erin E., Welker, Preston, Tilman, Andrew R., Wood, Stephen A., Masuda, Yuta J.
Natural climate solutions (NCS) are critical for mitigating climate change through ecosystem-based carbon removal and emissions reductions. NCS implementation can also generate biodiversity and human well-being co-benefits and trade-offs ("NCS co-imp
Externí odkaz:
http://arxiv.org/abs/2405.00079
This paper introduces a nonconvex approach for sparse signal recovery, proposing a novel model termed the $\tau_2$-model, which utilizes the squared $\ell_1/\ell_2$ norms for this purpose. Our model offers an advancement over the $\ell_0$ norm, which
Externí odkaz:
http://arxiv.org/abs/2404.00764
Autor:
Deng, Shijian, Kosloski, Erin E., Patel, Siddhi, Barnett, Zeke A., Nan, Yiyang, Kaplan, Alexander, Aarukapalli, Sisira, Doan, William T., Wang, Matthew, Singh, Harsh, Rollins, Pamela R., Tian, Yapeng
In this article, we introduce a novel problem of audio-visual autism behavior recognition, which includes social behavior recognition, an essential aspect previously omitted in AI-assisted autism screening research. We define the task at hand as one
Externí odkaz:
http://arxiv.org/abs/2406.02554