Zobrazeno 1 - 10
of 6 885
pro vyhledávání: '"A., Gururaj"'
Autor:
Drean, Jules, Jepsen, Fisher, Suh, Edward, Devadas, Srini, Jaleel, Aamer, Saileshwar, Gururaj
We present Argos, a simple approach for adding verifiability to fully homomorphic encryption (FHE) schemes using trusted hardware. Traditional approaches to verifiable FHE require expensive cryptographic proofs, which incur an overhead of up to seven
Externí odkaz:
http://arxiv.org/abs/2412.03550
In this study, we perform detailed spectroscopic modeling to analyze the interaction of circumstellar material (CSM) with ejecta in both hydrogen-rich and hydrogen-poor superluminous supernovae (SLSNe), systematically varying properties such as CSM d
Externí odkaz:
http://arxiv.org/abs/2411.11517
Speculative decoding in large language models (LLMs) accelerates token generation by speculatively predicting multiple tokens cheaply and verifying them in parallel, and has been widely deployed. In this paper, we provide the first study demonstratin
Externí odkaz:
http://arxiv.org/abs/2411.01076
Accurately retrieving relevant bid keywords for user queries is critical in Sponsored Search but remains challenging, particularly for short, ambiguous queries. Existing dense and generative retrieval models often fail to capture nuanced user intent
Externí odkaz:
http://arxiv.org/abs/2407.14346
Autor:
Zhang, Ding, Naik, Gururaj V.
Publikováno v:
Journal of Applied Physics, vol. 136, no. 14, p. 1431105 (2024)
Light-matter interaction in quantum materials presents a new paradigm as light can tip the balance between many competing quantum many-body phases to result in new phenomena. Describing the optical response of such materials requires complex models.
Externí odkaz:
http://arxiv.org/abs/2405.16189
Autor:
Kharbanda, Siddhant, Gupta, Devaansh, K, Gururaj, Malhotra, Pankaj, Hsieh, Cho-Jui, Babbar, Rohit
Extreme Multi-label Classification (XMC) involves predicting a subset of relevant labels from an extremely large label space, given an input query and labels with textual features. Models developed for this problem have conventionally used modular ap
Externí odkaz:
http://arxiv.org/abs/2405.03714
This paper focuses on mitigating DRAM Rowhammer attacks. In recent years, solutions like TRR have been deployed in DDR4 DRAM to track aggressor rows and then issue a mitigative action by refreshing neighboring victim rows. Unfortunately, such in-DRAM
Externí odkaz:
http://arxiv.org/abs/2404.16256
Exceptional point (EP)-based optical sensors exhibit exceptional sensitivity but poor detectivity due to their acute sensitivity to perturbations such as noise. When the optical budget is limited as in applications on mobile platforms, high detectivi
Externí odkaz:
http://arxiv.org/abs/2403.10713
Using Virtual Reality for Detection and Intervention of Depression -- A Systematic Literature Review
Autor:
Waqas, Mohammad, Gururaj, Y Pawankumar, Mitra, V D Shanmukha, Karri, Sai Anirudh, Reddy, Raghu, Azeemuddin, Syed
The use of emerging technologies like Virtual Reality (VR) in therapeutic settings has increased in the past few years. By incorporating VR, a mental health condition like depression can be assessed effectively, while also providing personalized moti
Externí odkaz:
http://arxiv.org/abs/2403.01882
Autor:
Ciril Samuel Prasad, Gururaj V. Naik
Publikováno v:
npj Nanophotonics, Vol 1, Iss 1, Pp 1-6 (2024)
Abstract For a sustainable future, efficient, compact, and solid-state energy converters are critical. Thermophotovoltaics (TPV)—a solid-state scheme to convert heat into electricity—is promising for thermal storage and generation1. TPV systems e
Externí odkaz:
https://doaj.org/article/7e0c4d18362643a988fbde1aa368b766
