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of 2 160
pro vyhledávání: '"P. Ambarish"'
In his seminal work in 1923, Neyman studied the variance estimation problem for the difference-in-means estimator of the average treatment effect in completely randomized experiments. He proposed a variance estimator that is conservative in general a
Externí odkaz:
http://arxiv.org/abs/2409.12498
Autor:
Hebert, Liam, Kyriakidi, Marialena, Pham, Hubert, Sayana, Krishna, Pine, James, Sodhi, Sukhdeep, Jash, Ambarish
Hybrid recommender systems, combining item IDs and textual descriptions, offer potential for improved accuracy. However, previous work has largely focused on smaller datasets and model architectures. This paper introduces Flare (Fusing Language model
Externí odkaz:
http://arxiv.org/abs/2409.11699
Autor:
Hebert, Liam, Sayana, Krishna, Jash, Ambarish, Karatzoglou, Alexandros, Sodhi, Sukhdeep, Doddapaneni, Sumanth, Cai, Yanli, Kuzmin, Dima
Understanding the nuances of a user's extensive interaction history is key to building accurate and personalized natural language systems that can adapt to evolving user preferences. To address this, we introduce PERSOMA, Personalized Soft Prompt Ada
Externí odkaz:
http://arxiv.org/abs/2408.00960
Autor:
Moharil, Ambarish, Tamburri, Damian, Kumara, Indika, Heuvel, Willem-Jan Van Den, Azarfar, Alireza
This paper introduces a scale-invariant methodology employing \textit{Fractal Geometry} to analyze and explain the nonlinear dynamics of complex connectionist systems. By leveraging architectural self-similarity in Deep Neural Networks (DNNs), we qua
Externí odkaz:
http://arxiv.org/abs/2407.09585
We experimentally investigate the in-plane rotational motion of ferromagnetic colloidal rods immersed in viscoelastic media and subjected to a rotating magnetic field. Unexpectedly, we observe significant angular velocity even at field frequencies an
Externí odkaz:
http://arxiv.org/abs/2406.14505
Modeling long histories plays a pivotal role in enhancing recommendation systems, allowing to capture user's evolving preferences, resulting in more precise and personalized recommendations. In this study we tackle the challenges of modeling long use
Externí odkaz:
http://arxiv.org/abs/2401.04858
A growing number of researchers are conducting randomized experiments to analyze causal relationships in network settings where units influence one another. A dominant methodology for analyzing these experiments is design-based, leveraging random tre
Externí odkaz:
http://arxiv.org/abs/2312.03268
Autor:
Ajantha Vijayakumar, Subramaniyaswamy Vairavasundaram, Joseph Abraham Sundar Koilraj, Muthaiah Rajappa, Ketan Kotecha, Ambarish Kulkarni
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-23 (2024)
Abstract Defect detection in pharmaceutical blister packages is the most challenging task to get an accurate result in detecting defects that arise in tablets while manufacturing. Conventional defect detection methods include human intervention to ch
Externí odkaz:
https://doaj.org/article/88a4ddd509c649bba5d0667c998595cd
Background: A recent epidemiological analysis of staggered policy implementation reported a 29.4% reduction in COVID-19 cases by maintaining school mask mandates in the greater Boston area during the first half of 2022. The robustness of their result
Externí odkaz:
http://arxiv.org/abs/2307.11974
Autor:
Gupta, Abhirut, Sai, Ananya B., Sproat, Richard, Vasilevski, Yuri, Ren, James S., Jash, Ambarish, Sodhi, Sukhdeep S., Raghuveer, Aravindan
A large number of people are forced to use the Web in a language they have low literacy in due to technology asymmetries. Written text in the second language (L2) from such users often contains a large number of errors that are influenced by their na
Externí odkaz:
http://arxiv.org/abs/2307.03322