Zobrazeno 1 - 10
of 8 260
pro vyhledávání: '"P Shreya"'
Autor:
Rodriguez, Antonio C., El-Badry, Kareem, Hakala, Pasi, Rodríguez-Gil, Pablo, Bao, Tong, Galiullin, Ilkham, Kurlander, Jacob A., Law, Casey J., Pelisoli, Ingrid, Schreiber, Matthias R., Burdge, Kevin, Caiazzo, Ilaria, van Roestel, Jan, Szkody, Paula, Drake, Andrew J., Buckley, David A. H., Potter, Stephen B., Gaensicke, Boris, Mori, Kaya, Bellm, Eric C., Kulkarni, Shrinivas R., Prince, Thomas A., Graham, Matthew, Kasliwal, Mansi M., Rose, Sam, Sharma, Yashvi, Ahumada, Tomás, Anand, Shreya, Viitanen, Akke, Wold, Avery, Chen, Tracy X., Riddle, Reed, Smith, Roger
White dwarfs (WDs) are the most abundant compact objects, and recent surveys have suggested that over a third of WDs in accreting binaries host a strong (B $\gtrsim$ 1 MG) magnetic field. However, the origin and evolution of WD magnetism remain under
Externí odkaz:
http://arxiv.org/abs/2501.01490
Speech emotion recognition (SER) is a vital component in various everyday applications. Cross-corpus SER models are increasingly recognized for their ability to generalize performance. However, concerns arise regarding fairness across demographics in
Externí odkaz:
http://arxiv.org/abs/2501.00995
Cross-corpus speech emotion recognition (SER) plays a vital role in numerous practical applications. Traditional approaches to cross-corpus emotion transfer often concentrate on adapting acoustic features to align with different corpora, domains, or
Externí odkaz:
http://arxiv.org/abs/2412.19909
We characterize new universal features of the dynamics of chaotic quantum many-body systems, by considering a hypothetical task of "time estimation." Most macroscopic observables in a chaotic system equilibrate to nearly constant late-time values. In
Externí odkaz:
http://arxiv.org/abs/2412.19885
Bayesian reinforcement learning (BRL) is a method that merges principles from Bayesian statistics and reinforcement learning to make optimal decisions in uncertain environments. Similar to other model-based RL approaches, it involves two key componen
Externí odkaz:
http://arxiv.org/abs/2412.11743
Autor:
Plouff, David T., Scheuer, Laura, Shrestha, Shreya, Wu, Weipeng, Parvez, Nawsher J., Bhatt, Subhash, Wang, Xinhao, Gundlach, Lars, Jungfleisch, M. Benjamin, Xiao, John Q.
Altermagnets are a recently discovered class of magnetic material with great potential for applications in the field of spintronics, owing to their non-relativistic spin-splitting and simultaneous antiferromagnetic order. One of the most studied cand
Externí odkaz:
http://arxiv.org/abs/2412.11240
System testing is essential in any software development project to ensure that the final products meet the requirements. Creating comprehensive test cases for system testing from requirements is often challenging and time-consuming. This paper explor
Externí odkaz:
http://arxiv.org/abs/2412.03693
In India, the majority of farmers are classified as small or marginal, making their livelihoods particularly vulnerable to economic losses due to market saturation and climate risks. Effective crop planning can significantly impact their expected inc
Externí odkaz:
http://arxiv.org/abs/2412.02057
Fully supervised continual learning methods have shown improved attack traffic detection in a closed-world learning setting. However, obtaining fully annotated data is an arduous task in the security domain. Further, our research finds that after tra
Externí odkaz:
http://arxiv.org/abs/2412.00911
The Coin Change problem, also known as the Change-Making problem, is a well-studied combinatorial optimization problem, which involves minimizing the number of coins needed to make a specific change amount using a given set of coin denominations. A n
Externí odkaz:
http://arxiv.org/abs/2411.18137