Zobrazeno 1 - 10
of 15 651
pro vyhledávání: '"A. Hasani"'
The bimodal metallicity distribution of globular clusters (GCs) in massive galaxies implies two distinct sub-populations: metal-poor and metal-rich. Using the recent data of \textit{Gaia} we highlighted three distinct dissimilarities between metal-po
Externí odkaz:
http://arxiv.org/abs/2410.16276
Interplay of Tilt and Axion Fields in Topological Superconductors: Anisotropy in the Meissner Effect
Autor:
Hasani, Mojtaba, Faraei, Zahra
The surface states of topological superconductors significantly influence electromagnetic fields within these materials. The interaction between gapless boundary states and electromagnetic fields induces a Berry phase, coupling electric and magnetic
Externí odkaz:
http://arxiv.org/abs/2410.14503
Autor:
Mozafari, Mohammad, Hasani, Hosein, Vahidimajd, Reza, Fereydooni, Mohamadreza, Baghshah, Mahdieh Soleymani
In recent years, few-shot segmentation (FSS) models have emerged as a promising approach in medical imaging analysis, offering remarkable adaptability to segment novel classes with limited annotated data. Existing approaches to few-shot segmentation
Externí odkaz:
http://arxiv.org/abs/2410.09967
We examine a new scenario to model the outer halo globular cluster (GC) Pal 14 over its lifetime by performing a comprehensive set of direct N-body calculations. We assume Pal 14 was born in a now detached/disrupted dwarf galaxy with a strong tidal f
Externí odkaz:
http://arxiv.org/abs/2410.06036
Autor:
Ghaznavi, Mahdi, Asadollahzadeh, Hesam, Noohdani, Fahimeh Hosseini, Tabar, Soroush Vafaie, Hasani, Hosein, Alvanagh, Taha Akbari, Rohban, Mohammad Hossein, Baghshah, Mahdieh Soleymani
Classifiers trained with Empirical Risk Minimization (ERM) tend to rely on attributes that have high spurious correlation with the target. This can degrade the performance on underrepresented (or 'minority') groups that lack these attributes, posing
Externí odkaz:
http://arxiv.org/abs/2410.05345
Autor:
Ghasemi, S. Mojtaba, Rostami-Shirazi, Ali, Khalaj, Pouria, Zonoozi, Akram Hasani, Haghi, Hosein
We investigate the impact of primordial mass segregation on the formation and evolution of dark star clusters (DSCs). Considering a wide range of initial conditions, we conducted $N$-body simulations of globular clusters (GCs) around the Milky Way. I
Externí odkaz:
http://arxiv.org/abs/2409.15280
Autor:
Makiyeh, Fouad, Bastourous, Mark, Bairouk, Anass, Xiao, Wei, Maras, Mirjana, Wangb, Tsun-Hsuan, Blanchon, Marc, Hasani, Ramin, Chareyre, Patrick, Rus, Daniela
Autonomous vehicle navigation is a key challenge in artificial intelligence, requiring robust and accurate decision-making processes. This research introduces a new end-to-end method that exploits multimodal information from a single monocular camera
Externí odkaz:
http://arxiv.org/abs/2409.12716
Autor:
Nguyen, Huy-Dung, Bairouk, Anass, Maras, Mirjana, Xiao, Wei, Wang, Tsun-Hsuan, Chareyre, Patrick, Hasani, Ramin, Blanchon, Marc, Rus, Daniela
Autonomous driving holds great potential to transform road safety and traffic efficiency by minimizing human error and reducing congestion. A key challenge in realizing this potential is the accurate estimation of steering angles, which is essential
Externí odkaz:
http://arxiv.org/abs/2409.10095
Simulators are powerful tools for autonomous robot learning as they offer scalable data generation, flexible design, and optimization of trajectories. However, transferring behavior learned from simulation data into the real world proves to be diffic
Externí odkaz:
http://arxiv.org/abs/2406.15149
Autor:
Parnichkun, Rom N., Massaroli, Stefano, Moro, Alessandro, Smith, Jimmy T. H., Hasani, Ramin, Lechner, Mathias, An, Qi, Ré, Christopher, Asama, Hajime, Ermon, Stefano, Suzuki, Taiji, Yamashita, Atsushi, Poli, Michael
We approach designing a state-space model for deep learning applications through its dual representation, the transfer function, and uncover a highly efficient sequence parallel inference algorithm that is state-free: unlike other proposed algorithms
Externí odkaz:
http://arxiv.org/abs/2405.06147