Zobrazeno 1 - 10
of 29 437
pro vyhledávání: '"A. Varshney"'
Autor:
A. Varshney, D. N. Gençoğlan
Publikováno v:
Advanced Electromagnetics, Vol 13, Iss 2 (2024)
This article communicates an offset-fed split ring loaded slotted-antenna design, testing, and analysis for different water quality sensor. The antenna was designed to resonate at 10GHz on a low-cost FR-4 substrate of dimensions 0.621λo×0.467λo×.
Externí odkaz:
https://doaj.org/article/5bcd9f974ecb464a8c3e7b008bcc9211
Verifying the correctness of a digital twin provides a formal guarantee that the digital twin operates as intended. Digital twin verification is challenging due to the presence of uncertainties in the virtual representation, the physical environment,
Externí odkaz:
http://arxiv.org/abs/2411.18798
Autor:
Chen, Deming, Youssef, Alaa, Pendse, Ruchi, Schleife, André, Clark, Bryan K., Hamann, Hendrik, He, Jingrui, Laino, Teodoro, Varshney, Lav, Wang, Yuxiong, Sil, Avirup, Jabbarvand, Reyhaneh, Xu, Tianyin, Kindratenko, Volodymyr, Costa, Carlos, Adve, Sarita, Mendis, Charith, Zhang, Minjia, Núñez-Corrales, Santiago, Ganti, Raghu, Srivatsa, Mudhakar, Kim, Nam Sung, Torrellas, Josep, Huang, Jian, Seelam, Seetharami, Nahrstedt, Klara, Abdelzaher, Tarek, Eilam, Tamar, Zhao, Huimin, Manica, Matteo, Iyer, Ravishankar, Hirzel, Martin, Adve, Vikram, Marinov, Darko, Franke, Hubertus, Tong, Hanghang, Ainsworth, Elizabeth, Zhao, Han, Vasisht, Deepak, Do, Minh, Oliveira, Fabio, Pacifici, Giovanni, Puri, Ruchir, Nagpurkar, Priya
This white paper, developed through close collaboration between IBM Research and UIUC researchers within the IIDAI Institute, envisions transforming hybrid cloud systems to meet the growing complexity of AI workloads through innovative, full-stack co
Externí odkaz:
http://arxiv.org/abs/2411.13239
We consider the problem of high-dimensional heavy-tailed statistical estimation in the streaming setting, which is much harder than the traditional batch setting due to memory constraints. We cast this problem as stochastic convex optimization with h
Externí odkaz:
http://arxiv.org/abs/2410.20135
Autor:
Guo, Hangzhi, Venkit, Pranav Narayanan, Jang, Eunchae, Srinath, Mukund, Zhang, Wenbo, Mingole, Bonam, Gupta, Vipul, Varshney, Kush R., Sundar, S. Shyam, Yadav, Amulya
The widespread adoption of large language models (LLMs) and generative AI (GenAI) tools across diverse applications has amplified the importance of addressing societal biases inherent within these technologies. While the NLP community has extensively
Externí odkaz:
http://arxiv.org/abs/2410.15467
Autor:
Kaur, Rishemjit, Zhang, Shuchen, Berwal, Bhavika, Ray, Sonalika, Kumar, Ritesh, Varshney, Lav R.
Herbs and spices each contain about 3000 phytochemicals on average and there is much traditional knowledge on their health benefits. However, there is a lack of systematic study to understand the relationship among herbs and spices, their phytochemic
Externí odkaz:
http://arxiv.org/abs/2410.17286
Autor:
Pattanaik, Anay, Varshney, Lav R.
This paper considers an online reinforcement learning algorithm that leverages pre-collected data (passive memory) from the environment for online interaction. We show that using passive memory improves performance and further provide theoretical gua
Externí odkaz:
http://arxiv.org/abs/2410.14665
Autor:
Varshney, Ayush K., Torra, Vicenç
Privacy regulations like the GDPR in Europe and the CCPA in the US allow users the right to remove their data ML applications. Machine unlearning addresses this by modifying the ML parameters in order to forget the influence of a specific data point
Externí odkaz:
http://arxiv.org/abs/2410.09947
Autor:
Varshney, Prateek, Pilanci, Mert
Deploying large and complex deep neural networks on resource-constrained edge devices poses significant challenges due to their computational demands and the complexities of non-convex optimization. Traditional compression methods such as distillatio
Externí odkaz:
http://arxiv.org/abs/2410.06567
Noise, traditionally considered a nuisance in computational systems, is reconsidered for its unexpected and counter-intuitive benefits across a wide spectrum of domains, including nonlinear information processing, signal processing, image processing,
Externí odkaz:
http://arxiv.org/abs/2410.06348