Zobrazeno 1 - 10
of 67 871
pro vyhledávání: '"Guevara OR"'
Autor:
Guevara, Jorge, Nascimento, Victor, Schmude, Johannes, Salles, Daniel, Corbeil-Létourneau, Simon, Surcel, Madalina, Brunet, Dominique
Wind downscaling is essential for improving the spatial resolution of weather forecasts, particularly in operational Numerical Weather Prediction (NWP). This study advances wind downscaling by extending the DownGAN framework introduced by Annau et al
Externí odkaz:
http://arxiv.org/abs/2412.06958
Autor:
Kulathunga, Geesara, Yilmaz, Abdurrahman, Huang, Zhuoling, Hroob, Ibrahim, Arunachalam, Hariharan, Guevara, Leonardo, Klimchik, Alexandr, Cielniak, Grzegorz, Hanheide, Marc
In autonomous navigation, trajectory replanning, refinement, and control command generation are essential for effective motion planning. This paper presents a resilient approach to trajectory replanning addressing scenarios where the initial planner'
Externí odkaz:
http://arxiv.org/abs/2412.03174
Autor:
Geng, Daniel, Herrmann, Charles, Hur, Junhwa, Cole, Forrester, Zhang, Serena, Pfaff, Tobias, Lopez-Guevara, Tatiana, Doersch, Carl, Aytar, Yusuf, Rubinstein, Michael, Sun, Chen, Wang, Oliver, Owens, Andrew, Sun, Deqing
Motion control is crucial for generating expressive and compelling video content; however, most existing video generation models rely mainly on text prompts for control, which struggle to capture the nuances of dynamic actions and temporal compositio
Externí odkaz:
http://arxiv.org/abs/2412.02700
We present a suite of zoom-in cosmological simulations of Milky Way-like galaxies with a prominent disc component and a strong bar in their centre, based on a subsample of barred galaxies from the TNG50 magneto-hydrodynamic simulation. We modify the
Externí odkaz:
http://arxiv.org/abs/2411.16876
Autor:
Puerto-Sánchez, Clara, Habouzit, Melanie, Volonteri, Marta, Ni, Yueying, Foord, Adi, Anglés-Alcázar, Daniel, Chen, Nianyi, Guetzoyan, Paloma, Davé, Romeel, Di Matteo, Tiziana, Dubois, Yohan, Koss, Michael, Rosas-Guevara, Yetli
Detecting dual active galactic nuclei (DAGN) in observations and understanding theoretically which massive black holes (MBHs) compose them and in which galactic and large-scale environment they reside are becoming increasingly important questions as
Externí odkaz:
http://arxiv.org/abs/2411.15297
Autor:
Guevara, Bryan S., Moya, Viviana, Recalde, Luis F., Pozo-Espin, David, Gandolfo, Daniel C., Toibero, Juan M.
In this study, we propose a novel method that integrates Nonlinear Model Predictive Contour Control (NMPCC) with an Exponentially Stabilizing Control Lyapunov Function (ES-CLF) and Exponential Higher-Order Control Barrier Functions to achieve stable
Externí odkaz:
http://arxiv.org/abs/2411.00668
Autor:
Singhal, Chetna, Wu, Yashuo, Malandrino, Francesco, Contreras, Sharon Ladron de Guevara, Levorato, Marco, Chiasserini, Carla Fabiana
Publikováno v:
IEEE SECON 2024
Mobile systems will have to support multiple AI-based applications, each leveraging heterogeneous data sources through DNN architectures collaboratively executed within the network. To minimize the cost of the AI inference task subject to requirement
Externí odkaz:
http://arxiv.org/abs/2410.16723
This paper presents a comprehensive approach to nonlinear dynamics identification for UAVs using a combination of data-driven techniques and theoretical modeling. Two key methodologies are explored: Proportional-Derivative (PD) approximation and Spar
Externí odkaz:
http://arxiv.org/abs/2410.11791
Autor:
Schmude, Johannes, Roy, Sujit, Trojak, Will, Jakubik, Johannes, Civitarese, Daniel Salles, Singh, Shraddha, Kuehnert, Julian, Ankur, Kumar, Gupta, Aman, Phillips, Christopher E, Kienzler, Romeo, Szwarcman, Daniela, Gaur, Vishal, Shinde, Rajat, Lal, Rohit, Da Silva, Arlindo, Diaz, Jorge Luis Guevara, Jones, Anne, Pfreundschuh, Simon, Lin, Amy, Sheshadri, Aditi, Nair, Udaysankar, Anantharaj, Valentine, Hamann, Hendrik, Watson, Campbell, Maskey, Manil, Lee, Tsengdar J, Moreno, Juan Bernabe, Ramachandran, Rahul
Triggered by the realization that AI emulators can rival the performance of traditional numerical weather prediction models running on HPC systems, there is now an increasing number of large AI models that address use cases such as forecasting, downs
Externí odkaz:
http://arxiv.org/abs/2409.13598
We develop a method to design tunable quasiperiodic structures of particles suspended in a fluid by controlling standing acoustic waves. One application of our results is to ultrasound directed self-assembly, which allows fabricating composite materi
Externí odkaz:
http://arxiv.org/abs/2409.12905