Zobrazeno 1 - 10
of 29 554
pro vyhledávání: '"Gerdes, A"'
Autor:
Burger, Manuel, Sergeev, Fedor, Londschien, Malte, Chopard, Daphné, Yèche, Hugo, Gerdes, Eike, Leshetkina, Polina, Morgenroth, Alexander, Babür, Zeynep, Bogojeska, Jasmina, Faltys, Martin, Kuznetsova, Rita, Rätsch, Gunnar
Notable progress has been made in generalist medical large language models across various healthcare areas. However, large-scale modeling of in-hospital time series data - such as vital signs, lab results, and treatments in critical care - remains un
Externí odkaz:
http://arxiv.org/abs/2411.16346
Proprioceptive sensors on planetary rovers serve for state estimation and for understanding terrain and locomotion performance. While inertial measurement units (IMUs) are widely used to this effect, force-torque sensors are less explored for planeta
Externí odkaz:
http://arxiv.org/abs/2411.04700
Autor:
Gerdes, Wout, Acar, Erman
Credit card fraud detection is a critical concern for financial institutions, intensified by the rise of contactless payment technologies. While deep learning models offer high accuracy, their lack of explainability poses significant challenges in fi
Externí odkaz:
http://arxiv.org/abs/2411.00431
Continuous normalizing flows are known to be highly expressive and flexible, which allows for easier incorporation of large symmetries and makes them a powerful tool for sampling in lattice field theories. Building on previous work, we present a gene
Externí odkaz:
http://arxiv.org/abs/2410.13161
Diffusion generative models transform noise into data by inverting a process that progressively adds noise to data samples. Inspired by concepts from the renormalization group in physics, which analyzes systems across different scales, we revisit dif
Externí odkaz:
http://arxiv.org/abs/2410.02667
Autor:
Strauss, Ryder, McNeill, Andrew, Trilling, David E., Valdes, Francisco, Bernardinell, Pedro H., Fuentes, Cesar, Gerdes, David W., Holman, Matthew J., Juric, Mario, Lin, Hsing Wen, Markwardt, Larissa, Mommert, Michael, Napier, Kevin J., Oldroyd, William J., Payne, Matthew J., Rivkin, Andrew S., Schlichting, Hilke E., Sheppard, Scott S., Smotherman, Hayden, Trujillo, Chadwick A, Adams, Fred C., Chandler, Colin Orion
Publikováno v:
The Astronomical Journal, Volume 168, Number 4 (2024)
Superfast rotators (SFRs) are small solar system objects that rotate faster than generally possible for a cohesionless rubble pile. Their rotational characteristics allow us to make inferences about their interior structure and composition. Here, we
Externí odkaz:
http://arxiv.org/abs/2410.01147
Autor:
Fraser, Wesley C., Porter, Simon B., Peltier, Lowell, Kavelaars, JJ, Verbiscer, Anne J., Buie, Marc W., Stern, S. Alan, Spencer, John R., Benecchi, Susan D., Terai, Tsuyoshi, Ito, Takashi, Yoshida, Fumi, Gerdes, David W., Napier, Kevin J., Lin, Hsing Wen, Gwyn, Stephen D. J., Smotherman, Hayden, Fabbro, Sebastien, Singer, Kelsi N., Alexander, Amanda M., Arimatsu, Ko, Banks, Maria E., Bray, Veronica J., El-Maarry, Mohamed Ramy, Ferrell, Chelsea L., Fuse, Tetsuharu, Glass, Florian, Holt, Timothy R., Hong, Peng, Ishimaru, Ryo, Johnson, Perianne E., Lauer, Tod R., Leiva, Rodrigo, Lykawka, Patryk S., Marschall, Raphael, Núñez, Jorge I., Postman, Marc, Quirico, Eric, Rhoden, Alyssa R., Simpson, Anna M., Schenk, Paul, Skrutskie, Michael F., Steffl, Andrew J., Throop, Henry
We report the detection of 239 trans-Neptunian Objects discovered through the on-going New Horizons survey for distant minor bodies being performed with the Hyper Suprime-Cam mosaic imager on the Subaru Telescope. These objects were discovered in ima
Externí odkaz:
http://arxiv.org/abs/2407.21142
Automated drifting presents a challenge problem for vehicle control, requiring models and control algorithms that can precisely handle nonlinear, coupled tire forces at the friction limits. We present a neural network architecture for predicting fron
Externí odkaz:
http://arxiv.org/abs/2407.13760
Automated vehicles need to estimate tire-road friction information, as it plays a key role in safe trajectory planning and vehicle dynamics control. Notably, friction is not solely dependent on road surface conditions, but also varies significantly d
Externí odkaz:
http://arxiv.org/abs/2407.12989
Publikováno v:
NAACL2024 - 2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Jun 2024, Mexico City, Mexico
In this work, we introduce a comprehensive error typology specifically designed for evaluating two distinct tasks in machine-generated patent texts: claims-to-abstract generation, and the generation of the next claim given previous ones. We have also
Externí odkaz:
http://arxiv.org/abs/2406.06589