Zobrazeno 1 - 10
of 45 054
pro vyhledávání: '"Rizvi, A."'
Autor:
Alamu, Opeyemi Sheu, Choque, Bismar Jorge Gutierrez, Rizvi, Syed Wajeeh Abbs, Hammed, Samah Badr, Medani, Isameldin Elamin, Siam, Md Kamrul, Tahir, Waqar Ahmad
Breast cancer remains a significant global health challenge, with prognosis and treatment decisions largely dependent on clinical characteristics. Accurate prediction of patient outcomes is crucial for personalized treatment strategies. This study em
Externí odkaz:
http://arxiv.org/abs/2410.13404
Autor:
Barroso-Luque, Luis, Shuaibi, Muhammed, Fu, Xiang, Wood, Brandon M., Dzamba, Misko, Gao, Meng, Rizvi, Ammar, Zitnick, C. Lawrence, Ulissi, Zachary W.
The ability to discover new materials with desirable properties is critical for numerous applications from helping mitigate climate change to advances in next generation computing hardware. AI has the potential to accelerate materials discovery and d
Externí odkaz:
http://arxiv.org/abs/2410.12771
Text classification is a quintessential and practical problem in natural language processing with applications in diverse domains such as sentiment analysis, fake news detection, medical diagnosis, and document classification. A sizable body of recen
Externí odkaz:
http://arxiv.org/abs/2410.09399
Autor:
He, Sizhuang, Levine, Daniel, Vrkic, Ivan, Bressana, Marco Francesco, Zhang, David, Rizvi, Syed Asad, Zhang, Yangtian, Zappala, Emanuele, van Dijk, David
We introduce CaLMFlow (Causal Language Models for Flow Matching), a novel framework that casts flow matching as a Volterra integral equation (VIE), leveraging the power of large language models (LLMs) for continuous data generation. CaLMFlow enables
Externí odkaz:
http://arxiv.org/abs/2410.05292
Autor:
Zhang, Shiyang, Patel, Aakash, Rizvi, Syed A, Liu, Nianchen, He, Sizhuang, Karbasi, Amin, Zappala, Emanuele, van Dijk, David
We explore the emergence of intelligent behavior in artificial systems by investigating how the complexity of rule-based systems influences the capabilities of models trained to predict these rules. Our study focuses on elementary cellular automata (
Externí odkaz:
http://arxiv.org/abs/2410.02536
Autor:
Rizvi, Syed Muhammad Aqdas
This literature review surveys the advancements of keyword spotting (KWS) technologies, specifically focusing on Urdu, Pakistan's low-resource language (LRL), which has complex phonetics. Despite the global strides in speech technology, Urdu presents
Externí odkaz:
http://arxiv.org/abs/2409.16317
Autor:
Mustafa, Syed Muhammad, Rizvi, Omema, Usmani, Zain Ahmed, Memon, Abdul Basit, Movania, Muhammad Mobeen
Social robot navigation (SRN) is a relevant problem that involves navigating a pedestrian-rich environment in a socially acceptable manner. It is an essential part of making social robots effective in pedestrian-rich settings. The use cases of such r
Externí odkaz:
http://arxiv.org/abs/2408.02661
Autor:
Rizvi, Mohd Suhail
The speed-accuracy tradeoffs are prevalent in a wide range of physical systems. In this paper, we demonstrate speed-accuracy tradeoffs in the game of cricket, where 'batters' score runs on the balls bowled by the 'bowlers'. It is shown that the run s
Externí odkaz:
http://arxiv.org/abs/2407.02548
Autor:
Wadhawan, I. B., Rizvi, M. M.
We present novel mathematical models for inventory management within a reverse logistics system. Technological advancements, sustainability initiatives, and evolving customer behaviours have significantly increased the demand for repaired products. O
Externí odkaz:
http://arxiv.org/abs/2406.13226
Second-order Recurrent Neural Networks (2RNNs) extend RNNs by leveraging second-order interactions for sequence modelling. These models are provably more expressive than their first-order counterparts and have connections to well-studied models from
Externí odkaz:
http://arxiv.org/abs/2406.05045