Zobrazeno 1 - 10
of 15 989
pro vyhledávání: '"A. Kamyar"'
Autor:
Barakati, Kamyar, Liu, Yu, Nelson, Chris, Ziatdinov, Maxim A., Zhang, Xiaohang, Takeuchi, Ichiro, Kalinin, Sergei V.
Rapid progress in aberration corrected electron microscopy necessitates development of robust methods for the identification of phases, ferroic variants, and other pertinent aspects of materials structure from imaging data. While unsupervised methods
Externí odkaz:
http://arxiv.org/abs/2411.12612
Autor:
Rajabalifardi, Kamyar, Bhattacharya, Sagnik, Afshang, Mehrnaz, Mozaffari, Mohammad, Cioffi, John M.
This paper introduces a novel power allocation and subcarrier optimization algorithm tailored for fixed wireless access (FWA) networks operating under low-rank channel conditions, where the number of subscriber antennas far exceeds those at the base
Externí odkaz:
http://arxiv.org/abs/2410.21786
Autor:
Bhattacharya, Sagnik, Rajabalifardi, Kamyar, Mohsin, Muhammad Ahmed, Pote, Rohan, Cioffi, John M.
The ever-evolving landscape of distributed wireless systems, e.g. multi-user AR/VR systems, demands high data rates (up to 500 Mbps per user) and low power consumption. With increasing number of participating users, uplink data transmission in the si
Externí odkaz:
http://arxiv.org/abs/2410.21782
Autor:
Zhao, Tony Z., Tompson, Jonathan, Driess, Danny, Florence, Pete, Ghasemipour, Kamyar, Finn, Chelsea, Wahid, Ayzaan
Recent work has shown promising results for learning end-to-end robot policies using imitation learning. In this work we address the question of how far can we push imitation learning for challenging dexterous manipulation tasks. We show that a simpl
Externí odkaz:
http://arxiv.org/abs/2410.13126
Autor:
Siddiqui, Shoaib Ahmed, Kossaifi, Jean, Bonev, Boris, Choy, Christopher, Kautz, Jan, Krueger, David, Azizzadenesheli, Kamyar
Despite tremendous progress in developing deep-learning-based weather forecasting systems, their design space, including the impact of different design choices, is yet to be well understood. This paper aims to fill this knowledge gap by systematicall
Externí odkaz:
http://arxiv.org/abs/2410.07472
Automated experiments in scanning transmission electron microscopy (STEM) require rapid image segmentation to optimize data representation for human interpretation, decision-making, site-selective spectroscopies, and atomic manipulation. Currently, s
Externí odkaz:
http://arxiv.org/abs/2409.12462
Autor:
Rashidi, Kamyar, Michail, Evripidis, Salcido-Santacruz, Bernardo, Paudel, Yamuna, Menon, Vinod M., Sfeir, Matthew Y.
Achieving precise control of photoinduced molecular charge transfer reactions underpins key emerging technologies. As such, the use of hybrid light-matter molecular exciton-polariton states has been proposed as a scheme to directly modify the efficie
Externí odkaz:
http://arxiv.org/abs/2409.02067
Pre-trained LLMs have demonstrated substantial capabilities across a range of conventional natural language processing (NLP) tasks, such as summarization and entity recognition. In this paper, we explore the application of LLMs in the generation of h
Externí odkaz:
http://arxiv.org/abs/2408.06396
Autor:
Sun, Jingtong, Berner, Julius, Richter, Lorenz, Zeinhofer, Marius, Müller, Johannes, Azizzadenesheli, Kamyar, Anandkumar, Anima
The task of sampling from a probability density can be approached as transporting a tractable density function to the target, known as dynamical measure transport. In this work, we tackle it through a principled unified framework using deterministic
Externí odkaz:
http://arxiv.org/abs/2407.07873
Autor:
Kaushik, Pratiik, Askari, Koorosh, Gupta, Saksham, Mohan, Rahul, Skrinak, Kris, Kamyar, Royan, Smarr, Benjamin
Chronotype compares individuals' circadian phase to others. It contextualizes mental health risk assessments and detection of social jet lag, which can hamper mental health and cognitive performance. Existing ways of determining chronotypes, such as
Externí odkaz:
http://arxiv.org/abs/2407.06478