Zobrazeno 1 - 10
of 280 166
pro vyhledávání: '"A, Kent"'
Autor:
Kent-Dobias, Jaron
Optimization seeks extremal points in a function. When there are superextensively many optima, optimization algorithms are liable to get stuck. Under these conditions, generic algorithms tend to find marginal optima, which have many nearly flat direc
Externí odkaz:
http://arxiv.org/abs/2407.02092
Autor:
Kent-Dobias, Jaron
Marginal optima are minima or maxima of a function with many nearly flat directions. In settings with many competing optima, marginal ones tend to attract algorithms and physical dynamics. Often, the important family of marginal attractors are a vani
Externí odkaz:
http://arxiv.org/abs/2407.02082
Autor:
Gosselink, Brigitte Hoyer, Brandt, Kate, Croak, Marian, DeSalvo, Karen, Gomes, Ben, Ibrahim, Lila, Johnson, Maggie, Matias, Yossi, Porat, Ruth, Walker, Kent, Manyika, James
Advances in Artificial Intelligence (AI) are helping tackle a growing number of societal challenges, demonstrating technology's increasing capability to address complex issues, including those outlined in the United Nations (UN) Sustainable Developme
Externí odkaz:
http://arxiv.org/abs/2407.02711
We present a method to approximately solve general instances of combinatorial optimization problems using the physical dynamics of 3d rotors obeying Landau-Lifshitz-Gilbert dynamics. Conventional techniques to solve discrete optimization problems tha
Externí odkaz:
http://arxiv.org/abs/2407.00530
Autor:
Wang, Jason J., Mawet, Dimitri, Xuan, Jerry W., Hsu, Chih-Chun, Ruffio, Jean-Baptiste, Horstman, Katelyn, Xin, Yinzi, Delorme, Jacques-Robert, Jovanovic, Nemanja, Zhang, Yapeng, Finnerty, Luke, Baker, Ashley, Bartos, Randall, Blake, Geoffrey A., Calvin, Benjamin, Cetre, Sylvain, Doppmann, Gregory W., Echeverri, Daniel, Fitzgerald, Michael P., Liberman, Joshua, Lopez, Ronald, Morris, Evan, Pezzato-Rovner, Jacklyn, Sappey, Ben, Schofield, Tobias, Skemer, Andrew, Wallace, J. Kent, Wang, Ji
The Keck Planet Imager and Characterizer (KPIC), a series of upgrades to the Keck II Adaptive Optics System and Instrument Suite, aims to demonstrate high-resolution spectroscopy of faint exoplanets that are spatially resolved from their host stars.
Externí odkaz:
http://arxiv.org/abs/2406.15028
Autor:
Jain, Aditya, Cunha, Fagner, Bunsen, Michael James, Cañas, Juan Sebastián, Pasi, Léonard, Pinoy, Nathan, Helsing, Flemming, Russo, JoAnne, Botham, Marc, Sabourin, Michael, Fréchette, Jonathan, Anctil, Alexandre, Lopez, Yacksecari, Navarro, Eduardo, Pimentel, Filonila Perez, Zamora, Ana Cecilia, Silva, José Alejandro Ramirez, Gagnon, Jonathan, August, Tom, Bjerge, Kim, Segura, Alba Gomez, Bélisle, Marc, Basset, Yves, McFarland, Kent P., Roy, David, Høye, Toke Thomas, Larrivée, Maxim, Rolnick, David
Insects represent half of all global biodiversity, yet many of the world's insects are disappearing, with severe implications for ecosystems and agriculture. Despite this crisis, data on insect diversity and abundance remain woefully inadequate, due
Externí odkaz:
http://arxiv.org/abs/2406.12452
Autor:
Kent, Teresa A., Bergbreiter, Sarah
Understanding airflow around a drone is critical for performing advanced maneuvers while maintaining flight stability. Recent research has worked to understand this flow by employing 2D and 3D flow sensors to measure flow from a single source like wi
Externí odkaz:
http://arxiv.org/abs/2406.11829
Autor:
Chen, Tian-Yue, Ren, Haowen, Ghazikhanian, Nareg, Hage, Ralph El, Sasaki, Dayne Y., Salev, Pavel, Takamura, Yayoi, Schuller, Ivan K., Kent, Andrew D.
Metal-insulator transitions (MITs) in resistive switching materials can be triggered by an electric stimulus that produces significant changes in the electrical response. When these phases have distinct magnetic characteristics, dramatic changes in s
Externí odkaz:
http://arxiv.org/abs/2406.11679
Autor:
Couto, Paulo Henrique, Ho, Quang Phuoc, Kumari, Nageeta, Rachmat, Benedictus Kent, Khuong, Thanh Gia Hieu, Ullah, Ihsan, Sun-Hosoya, Lisheng
Publikováno v:
Conf{\'e}rence sur l'Apprentissage Automatique 2024, Jul 2024, Lille, France
Recent advancements in Artificial Intelligence (AI), particularly the widespread adoption of Large Language Models (LLMs), have significantly enhanced text analysis capabilities. This technological evolution offers considerable promise for automating
Externí odkaz:
http://arxiv.org/abs/2406.10294
Autor:
van Leeuwen, Florian D., Steyerberg, Ewout W., van Klaveren, David, Wessler, Ben, Kent, David M., van Zwet, Erik W.
Background: External validations are essential to assess clinical prediction models (CPMs) before deployment. Apart from model misspecification, differences in patient population and other factors influence a model's AUC (c-statistic). We aimed to qu
Externí odkaz:
http://arxiv.org/abs/2406.08628