Zobrazeno 1 - 10
of 149
pro vyhledávání: '"Agarwal Khushbu"'
Autor:
Sprueill, Henry W., Edwards, Carl, Agarwal, Khushbu, Olarte, Mariefel V., Sanyal, Udishnu, Johnston, Conrad, Liu, Hongbin, Ji, Heng, Choudhury, Sutanay
The discovery of new catalysts is essential for the design of new and more efficient chemical processes in order to transition to a sustainable future. We introduce an AI-guided computational screening framework unifying linguistic reasoning with qua
Externí odkaz:
http://arxiv.org/abs/2402.10980
Integrating large language models (LLMs) with knowledge graphs derived from domain-specific data represents an important advancement towards more powerful and factual reasoning. As these models grow more capable, it is crucial to enable them to perfo
Externí odkaz:
http://arxiv.org/abs/2402.06764
Autor:
Khatir, Mehrdad, Choudhary, Nurendra, Choudhury, Sutanay, Agarwal, Khushbu, Reddy, Chandan K.
Hyperbolic neural networks can effectively capture the inherent hierarchy of graph datasets, and consequently a powerful choice of GNNs. However, they entangle multiple incongruent (gyro-)vector spaces within a layer, which makes them limited in term
Externí odkaz:
http://arxiv.org/abs/2206.04285
Autor:
Nandanoori, Sai Pushpak, Guan, Sheng, Kundu, Soumya, Pal, Seemita, Agarwal, Khushbu, Wu, Yinghui, Choudhury, Sutanay
Continuous monitoring of the spatio-temporal dynamic behavior of critical infrastructure networks, such as the power systems, is a challenging but important task. In particular, accurate and timely prediction of the (electro-mechanical) transient dyn
Externí odkaz:
http://arxiv.org/abs/2202.08065
Question Answering (QA) in clinical notes has gained a lot of attention in the past few years. Existing machine reading comprehension approaches in clinical domain can only handle questions about a single block of clinical texts and fail to retrieve
Externí odkaz:
http://arxiv.org/abs/2108.00513
Malicious activities on measurements from sensors like Phasor Measurement Units (PMUs) can mislead the control center operator into taking wrong control actions resulting in disruption of operation, financial losses, and equipment damage. In particul
Externí odkaz:
http://arxiv.org/abs/2007.11717
Publikováno v:
Published in The Web Conference 2021
Representation learning methods for heterogeneous networks produce a low-dimensional vector embedding for each node that is typically fixed for all tasks involving the node. Many of the existing methods focus on obtaining a static vector representati
Externí odkaz:
http://arxiv.org/abs/2007.11192
Autor:
Agarwal, Khushbu, Franks, Alexis T., Zhang, Xuemin, Schisterman, Enrique, Mumfordd, Sunni L., Joseph, Paule V.
Publikováno v:
In Clinical Nutrition ESPEN August 2023 56:193-199
Autor:
Agarwal, Khushbu, Eftimov, Tome, Addanki, Raghavendra, Choudhury, Sutanay, Tamang, Suzanne, Rallo, Robert
Representation learning methods that transform encoded data (e.g., diagnosis and drug codes) into continuous vector spaces (i.e., vector embeddings) are critical for the application of deep learning in healthcare. Initial work in this area explored t
Externí odkaz:
http://arxiv.org/abs/1907.08650
Autor:
Agarwal, Khushbu, Manza, Peter, Tejeda, Hugo A., Courville, Amber B., Volkow, Nora D., Joseph, Paule V.
Publikováno v:
In Journal of Adolescent Health August 2023