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of 28 381
pro vyhledávání: '"VENKATARAMANAN"'
Attribution in large language models (LLMs) remains a significant challenge, particularly in ensuring the factual accuracy and reliability of the generated outputs. Current methods for citation or attribution, such as those employed by tools like Per
Externí odkaz:
http://arxiv.org/abs/2410.03726
Autor:
Prasad, Renjith, Shyalika, Chathurangi, Zand, Ramtin, Kalach, Fadi El, Venkataramanan, Revathy, Harik, Ramy, Sheth, Amit
Publikováno v:
Predictive Models in Engineering Applications special session (MLPMEA) at International Conference on Machine Learning and Applications (ICMLA) 2024
Anomaly detection in manufacturing pipelines remains a critical challenge, intensified by the complexity and variability of industrial environments. This paper introduces AssemAI, an interpretable image-based anomaly detection system tailored for sma
Externí odkaz:
http://arxiv.org/abs/2408.02181
In the pooled data problem, the goal is to identify the categories associated with a large collection of items via a sequence of pooled tests. Each pooled test reveals the number of items in the pool belonging to each category. A prominent special ca
Externí odkaz:
http://arxiv.org/abs/2408.00385
Autor:
Chowdhury, Jayabrata, Shivaraman, Venkataramanan, Dangi, Sumit, Sundaram, Suresh, Sujit, P. B.
Autonomous Vehicle (AV) decision making in urban environments is inherently challenging due to the dynamic interactions with surrounding vehicles. For safe planning, AV must understand the weightage of various spatiotemporal interactions in a scene.
Externí odkaz:
http://arxiv.org/abs/2407.08932
Autor:
Nair, Vineet J., Venkataramanan, Venkatesh, Srivastava, Priyank, Sarker, Partha S., Srivastava, Anurag, Marinovici, Laurentiu D., Zha, Jun, Irwin, Christopher, Mittal, Prateek, Williams, John, Poor, H. Vincent, Annaswamy, Anuradha M.
The electricity grid has evolved from a physical system to a cyber-physical system with digital devices that perform measurement, control, communication, computation, and actuation. The increased penetration of distributed energy resources (DERs) tha
Externí odkaz:
http://arxiv.org/abs/2406.14861
Autor:
Mondelli, Marco, Venkataramanan, Ramji
We consider the problem of estimating a signal from measurements obtained via a generalized linear model. We focus on estimators based on approximate message passing (AMP), a family of iterative algorithms with many appealing features: the performanc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b1ae74d5cc17e8e76d5b74c64fed053a
https://www.repository.cam.ac.uk/handle/1810/346601
https://www.repository.cam.ac.uk/handle/1810/346601
As the composition of the power grid evolves to integrate more renewable generation, its reliance on distributed energy resources (DER) is increasing. Existing DERs are often controlled with proportional integral (PI) controllers that, if not properl
Externí odkaz:
http://arxiv.org/abs/2405.07108
Autor:
Venkataramanan, Abhinau K., Stejerean, Cosmin, Katsavounidis, Ioannis, Tmar, Hassene, Bovik, Alan C.
The deep learning revolution has strongly impacted low-level image processing tasks such as style/domain transfer, enhancement/restoration, and visual quality assessments. Despite often being treated separately, the aforementioned tasks share a commo
Externí odkaz:
http://arxiv.org/abs/2404.13484
Autor:
Venkataramanan, Abhinau K., Stejerean, Cosmin, Katsavounidis, Ioannis, Tmar, Hassene, Bovik, Alan C.
High Dynamic Range (HDR) videos have enjoyed a surge in popularity in recent years due to their ability to represent a wider range of contrast and color than Standard Dynamic Range (SDR) videos. Although HDR video capture has seen increasing populari
Externí odkaz:
http://arxiv.org/abs/2404.13452
We consider the problem of localizing change points in a generalized linear model (GLM), a model that covers many widely studied problems in statistical learning including linear, logistic, and rectified linear regression. We propose a novel and comp
Externí odkaz:
http://arxiv.org/abs/2404.07864