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pro vyhledávání: '"SHAH, AAYUSH"'
Autor:
Shah, Aayush, Jayaratnam, Shankar
Large language models (LLMs) have demonstrated significant success in natural language processing (NLP) tasks and have shown promising results in other domains such as protein sequence generation. However, there remain salient differences between LLM
Externí odkaz:
http://arxiv.org/abs/2411.05966
In recent years, natural language processing (NLP) models have demonstrated remarkable capabilities in various domains beyond traditional text generation. In this work, we introduce PeptideGPT, a protein language model tailored to generate protein se
Externí odkaz:
http://arxiv.org/abs/2410.19222
Autor:
Mahalingam, Anand Gokul, Shah, Aayush, Gulati, Akshay, Mascarenhas, Royston, Panduranga, Rakshitha
Improving performance in multiple domains is a challenging task, and often requires significant amounts of data to train and test models. Active learning techniques provide a promising solution by enabling models to select the most informative sample
Externí odkaz:
http://arxiv.org/abs/2304.06277
Publikováno v:
Volume 11, Issue 4, April 2023
The importance of predicting stock market prices cannot be overstated. It is a pivotal task for investors and financial institutions as it enables them to make informed investment decisions, manage risks, and ensure the stability of the financial sys
Externí odkaz:
http://arxiv.org/abs/2304.09936
Autor:
Geiger, R. Stuart, Cope, Dominique, Ip, Jamie, Lotosh, Marsha, Shah, Aayush, Weng, Jenny, Tang, Rebekah
Publikováno v:
Quantitative Science Studies 2:2 (2021)
Supervised machine learning, in which models are automatically derived from labeled training data, is only as good as the quality of that data. This study builds on prior work that investigated to what extent 'best practices' around labeling training
Externí odkaz:
http://arxiv.org/abs/2107.02278
Autor:
Shah, Aayush, Malakar, Krishna
Publikováno v:
In International Journal of Disaster Risk Reduction 15 February 2024 102
The game industry is moving into an era where old-style game engines are being replaced by re-engineered systems with embedded machine learning technologies for the operation, analysis and understanding of game play. In this paper, we describe our ma
Externí odkaz:
http://arxiv.org/abs/2012.01148
Akademický článek
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Autor:
Suarez Arbelaez, Maria Camila, Nassau, Daniel E., Kuchakulla, Manish, Watane, Arjun, Shah, Aayush, Kalavar, Meghana, Ory, Jesse, Ramasamy, Ranjith
Publikováno v:
In Urology July 2022 165:81-88
Autor:
CHANG, RYAN, AMIN, ZAHIR, CHEEMA, NUH HABIBULLAH, YOUSEFZAI, SAMUEL, GARDEZI, KARAM, SHAH, AAYUSH, JAVED, ZULQARNAIN
Publikováno v:
Methodist DeBakey Cardiovascular Journal; 2024, Vol. 20 Issue 5, p89-97, 9p