Zobrazeno 1 - 10
of 3 308
pro vyhledávání: '"ROBINSON, BRIAN"'
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
Autor:
Michal, Victoire, Wakefield, Jon, Schmidt, Alexandra M., Cavanaugh, Alicia, Robinson, Brian, Baumgartner, Jill
We consider random forests and LASSO methods for model-based small area estimation when the number of areas with sampled data is a small fraction of the total areas for which estimates are required. Abundant auxiliary information is available for the
Externí odkaz:
http://arxiv.org/abs/2308.15180
Autor:
Johnson, Erik C., Robinson, Brian S., Vallabha, Gautam K., Joyce, Justin, Matelsky, Jordan K., Norman-Tenazas, Raphael, Western, Isaac, Villafañe-Delgado, Marisel, Cervantes, Martha, Robinette, Michael S., Reddy, Arun V., Kitchell, Lindsey, Rivlin, Patricia K., Reilly, Elizabeth P., Drenkow, Nathan, Roos, Matthew J., Wang, I-Jeng, Wester, Brock A., Gray-Roncal, William R., Hoffmann, Joan A.
Despite the progress in deep learning networks, efficient learning at the edge (enabling adaptable, low-complexity machine learning solutions) remains a critical need for defense and commercial applications. We envision a pipeline to utilize large ne
Externí odkaz:
http://arxiv.org/abs/2305.17300
Autor:
Robinson, Brian S., Lau, Clare W., New, Alexander, Nichols, Shane M., Johnson, Erik C., Wolmetz, Michael, Coon, William G.
Learning new tasks and skills in succession without losing prior learning (i.e., catastrophic forgetting) is a computational challenge for both artificial and biological neural networks, yet artificial systems struggle to achieve parity with their bi
Externí odkaz:
http://arxiv.org/abs/2209.05245
Autor:
Kononov, Alina, Lee, Cheng-Wei, Santos, Tatiane Pereira dos, Robinson, Brian, Yao, Yifan, Yao, Yi, Andrade, Xavier, Baczewski, Andrew David, Constantinescu, Emil, Correa, Alfredo A., Kanai, Yosuke, Modine, Normand, Schleife, Andre
Due to a beneficial balance of computational cost and accuracy, real-time time-dependent density functional theory has emerged as a promising first-principles framework to describe electron real-time dynamics. Here we discuss recent implementations a
Externí odkaz:
http://arxiv.org/abs/2205.04386
Autor:
Patke, Rodhan, Harris, Anna E., Woodcock, Corinne L., Thompson, Rachel, Santos, Rute, Kumari, Amber, Allegrucci, Cinzia, Archer, Nathan, Gudas, Lorraine J., Robinson, Brian D., Persson, Jenny L., Fray, Rupert, Jeyapalan, Jennie, Rutland, Catrin S., Rakha, Emad, Madhusudan, Srinivasan, Emes, Richard D., Muyangwa-Semenova, Musalwa, Alsaleem, Mansour, de Brot, Simone, Green, William, Ratan, Hari, Mongan, Nigel P., Lothion-Roy, Jennifer
Publikováno v:
In Neoplasia October 2024 56
Autor:
Adua, Lazarus, Asamoah, Amma, Barrows, John, Brookstein, Pamela, Chen, Bing, Coleman, Debra Rucker, Denzer, Anthony, Desjarlais, Andre O, Falconer, Whit, Fernandes, Luis, Fisler, Diana, Foley, Craig, Gaillard, Clement, Gladen, Adam, Guzowski, Mary, Hill, Terence, Hun, Diana, Kishore, Ravi, Klingenberg, Katrin, Kosny, Jan, Levinson, Ronnen, McGinley, Mark, Myer, Michael, Nicodemus, Julia, Rempel, Alexandra, Riggins, Jim, Riggs, Russel, Robinson, Brian, Ruan, Xiulin, Schwarz, Robby, Sharp, M Keith, Shrestha, Som, Sofos, Marina, Tabares-Velasco, Paulo Cesar, Tenent, Robert, Toye, Cory, Usher, Todd, Walker, Andy
Publikováno v:
In Solar Compass September 2024 11