Zobrazeno 1 - 10
of 15 080
pro vyhledávání: '"Mehrabi, A"'
Autor:
Pierson, Matthew, Mehrabi, Zia
Waterways shape earth system processes and human societies, and a better understanding of their distribution can assist in a range of applications from earth system modeling to human development and disaster response. Most efforts to date to map the
Externí odkaz:
http://arxiv.org/abs/2412.00050
Autor:
Pierson, Matthew, Mehrabi, Zia
Surprisingly a number of Earth's waterways remain unmapped, with a significant number in low and middle income countries. Here we build a computer vision model (WaterNet) to learn the location of waterways in the United States, based on high resoluti
Externí odkaz:
http://arxiv.org/abs/2411.13590
A quantum analogue of the Central Limit Theorem (CLT), first introduced by Cushen and Hudson (1971), states that the $n$-fold convolution $\rho^{\boxplus n}$ of an $m$-mode quantum state $\rho$ with zero first moments and finite second moments conver
Externí odkaz:
http://arxiv.org/abs/2410.21998
High-resolution satellite-based crop yield mapping offers enormous promise for monitoring progress towards the SDGs. Across 15,000 villages in Rwanda we uncover areas that are on and off track to double productivity by 2030. This machine learning ena
Externí odkaz:
http://arxiv.org/abs/2411.03322
Autor:
Meng, Tao, Mehrabi, Ninareh, Goyal, Palash, Ramakrishna, Anil, Galstyan, Aram, Zemel, Richard, Chang, Kai-Wei, Gupta, Rahul, Peris, Charith
We propose a constraint learning schema for fine-tuning Large Language Models (LLMs) with attribute control. Given a training corpus and control criteria formulated as a sequence-level constraint on model outputs, our method fine-tunes the LLM on the
Externí odkaz:
http://arxiv.org/abs/2410.05559
Data is a crucial element in large language model (LLM) alignment. Recent studies have explored using LLMs for efficient data collection. However, LLM-generated data often suffers from quality issues, with underrepresented or absent aspects and low-q
Externí odkaz:
http://arxiv.org/abs/2410.05269
Autor:
Mehrabi, Niloufar, Boroujeni, Sayed Pedram Haeri, Hofseth, Jenna, Razi, Abolfazl, Cheng, Long, Kaur, Manveen, Martin, James, Amin, Rahul
Unmanned Aerial Vehicles (UAVs) play an increasingly critical role in Intelligence, Surveillance, and Reconnaissance (ISR) missions such as border patrolling and criminal detection, thanks to their ability to access remote areas and transmit real-tim
Externí odkaz:
http://arxiv.org/abs/2410.10843
The time at which renewable (e.g., solar or wind) energy resources produce electricity cannot generally be controlled. In many settings, consumers have some flexibility in their energy consumption needs, and there is growing interest in demand-respon
Externí odkaz:
http://arxiv.org/abs/2409.07655
Autor:
Markowitz, Elan, Ramakrishna, Anil, Dhamala, Jwala, Mehrabi, Ninareh, Peris, Charith, Gupta, Rahul, Chang, Kai-Wei, Galstyan, Aram
Knowledge graphs (KGs) complement Large Language Models (LLMs) by providing reliable, structured, domain-specific, and up-to-date external knowledge. However, KGs and LLMs are often developed separately and must be integrated after training. We intro
Externí odkaz:
http://arxiv.org/abs/2407.21358
Autor:
Mehrabi, Azin
Medium-Mn third-generation advanced high strength steels (3G AHSS) are promising candidates for vehicle lightweighting due to their desirable combination of specific strength and ductility. However, the mechanical properties of medium-Mn (med-Mn) ste
Externí odkaz:
http://hdl.handle.net/11375/29727