Zobrazeno 1 - 10
of 15 931
pro vyhledávání: '"A. Usha, P"'
Autor:
Malreddy, Siddarth, Lawhon, Matthew, Nookala, Usha Amrutha, Mantha, Aditya, Badani, Dhruvil Deven
Adopting advances in recommendation systems is often challenging in industrial settings due to unique constraints. This paper aims to highlight these constraints through the lens of feature interactions. Feature interactions are critical for accurate
Externí odkaz:
http://arxiv.org/abs/2412.01985
Autor:
Abed, Jehad, Kim, Jiheon, Shuaibi, Muhammed, Wander, Brook, Duijf, Boris, Mahesh, Suhas, Lee, Hyeonseok, Gharakhanyan, Vahe, Hoogland, Sjoerd, Irtem, Erdem, Lan, Janice, Schouten, Niels, Vijayakumar, Anagha Usha, Hattrick-Simpers, Jason, Kitchin, John R., Ulissi, Zachary W., van Vugt, Aaike, Sargent, Edward H., Sinton, David, Zitnick, C. Lawrence
The search for low-cost, durable, and effective catalysts is essential for green hydrogen production and carbon dioxide upcycling to help in the mitigation of climate change. Discovery of new catalysts is currently limited by the gap between what AI-
Externí odkaz:
http://arxiv.org/abs/2411.11783
With the growing complexity and capability of large language models, a need to understand model reasoning has emerged, often motivated by an underlying goal of controlling and aligning models. While numerous interpretability and steering methods have
Externí odkaz:
http://arxiv.org/abs/2411.04430
Quantum theory contravenes classical macrorealism by allowing a system to be in a superposition of two or more physically distinct states, producing physical consequences radically different from that of classical physics. We show that a system, upon
Externí odkaz:
http://arxiv.org/abs/2411.02301
In cytometry, it is difficult to disentangle the contributions of population variance and instrument noise towards total measured variation. Fundamentally, this is due to the fact that one cannot measure the same particle multiple times. We propose a
Externí odkaz:
http://arxiv.org/abs/2409.17017
Autor:
Roshani, Mohammad Amin, Zhou, Xiangyu, Qiang, Yao, Suresh, Srinivasan, Hicks, Steve, Sethuraman, Usha, Zhu, Dongxiao
Large language models (LLMs) have shown remarkable capabilities in various natural language tasks and are increasingly being applied in healthcare domains. This work demonstrates a new LLM-powered disease risk assessment approach via streaming human-
Externí odkaz:
http://arxiv.org/abs/2409.15027
Bioimpedance a Diagnostic Tool for Tobacco Induced Oral Lesions: a Mixed Model cross-sectional study
Introduction: Electrical impedance spectroscopy (EIS) has recently developed as a novel diagnostic device for screening and evaluating cervical dysplasia, prostate cancer, breast cancer and basal cell carcinoma. The current study aimed to validate an
Externí odkaz:
http://arxiv.org/abs/2408.11886
Do different generative image models secretly learn similar underlying representations? We investigate this by measuring the latent space similarity of four different models: VAEs, GANs, Normalizing Flows (NFs), and Diffusion Models (DMs). Our method
Externí odkaz:
http://arxiv.org/abs/2407.13449
As Artificial Intelligence (AI) tools are increasingly employed in diverse real-world applications, there has been significant interest in regulating these tools. To this end, several regulatory frameworks have been introduced by different countries
Externí odkaz:
http://arxiv.org/abs/2407.08689
Autor:
Sharma, Ashish, Vaddhiparthy, SVSLN Surya Suhas, Goparaju, Sai Usha, Gangadharan, Deepak, Kandath, Harikumar
This paper explores the critical issue of enhancing cybersecurity measures for low-cost, Wi-Fi-based Unmanned Aerial Vehicles (UAVs) against Distributed Denial of Service (DDoS) attacks. In the current work, we have explored three variants of DDoS at
Externí odkaz:
http://arxiv.org/abs/2406.19881