Zobrazeno 1 - 10
of 168 098
pro vyhledávání: '"Vivek, A."'
This paper describes an efficient algorithm for solving noisy linear inverse problems using pretrained diffusion models. Extending the paradigm of denoising diffusion implicit models (DDIM), we propose constrained diffusion implicit models (CDIM) tha
Externí odkaz:
http://arxiv.org/abs/2411.00359
Autor:
Jain, Rishabh, Bhasi, Vivek M., Jog, Adwait, Sivasubramaniam, Anand, Kandemir, Mahmut T., Das, Chita R.
Personalized recommendation is a ubiquitous application on the internet, with many industries and hyperscalers extensively leveraging Deep Learning Recommendation Models (DLRMs) for their personalization needs (like ad serving or movie suggestions).
Externí odkaz:
http://arxiv.org/abs/2410.22249
Autor:
Reardon, Daniel J., Main, Robert, Ocker, Stella Koch, Shannon, Ryan M., Bailes, Matthew, Camilo, Fernando, Geyer, Marisa, Jameson, Andrew, Kramer, Michael, Parthasarathy, Aditya, Spiewak, Renée, van Straten, Willem, Krishnan, Vivek Venkatraman
The interstellar medium of the Milky Way contains turbulent plasma with structures driven by energetic processes that fuel star formation and shape the evolution of our Galaxy. Radio waves from pulsars are scattered off the small (au-scale and below)
Externí odkaz:
http://arxiv.org/abs/2410.21390
The decarbonization of road freight transport is crucial for reducing greenhouse gas emissions (GHG) and achieving climate neutrality goals. This study develops a comprehensive Total Cost of Ownership (TCO) model to evaluate the economic viability an
Externí odkaz:
http://arxiv.org/abs/2410.21026
Distributed Machine Learning (DML) on resource-constrained edge devices holds immense potential for real-world applications. However, achieving fast convergence in DML in these heterogeneous environments remains a significant challenge. Traditional f
Externí odkaz:
http://arxiv.org/abs/2410.20495
Autor:
Farias, Vivek F., Jozefiak, Adam D.
Plasticity Loss is an increasingly important phenomenon that refers to the empirical observation that as a neural network is continually trained on a sequence of changing tasks, its ability to adapt to a new task diminishes over time. We introduce Se
Externí odkaz:
http://arxiv.org/abs/2410.20098
Autor:
Singh, Vivek, Chaganti, Shikha, Siebert, Matthias, Rajesh, Soumya, Puiu, Andrei, Gopalan, Raj, Gramz, Jamie, Comaniciu, Dorin, Kamen, Ali
Early screening for cancer has proven to improve the survival rate and spare patients from intensive and costly treatments due to late diagnosis. Cancer screening in the healthy population involves an initial risk stratification step to determine the
Externí odkaz:
http://arxiv.org/abs/2410.19646
Autor:
Parmar, Vivek, Bane, Dwijay, Sarwar, Syed Shakib, Stangherlin, Kleber, De Salvo, Barbara, Suri, Manan
With the emergence of the Metaverse and focus on wearable devices in the recent years gesture based human-computer interaction has gained significance. To enable gesture recognition for VR/AR headsets and glasses several datasets focusing on egocentr
Externí odkaz:
http://arxiv.org/abs/2410.19486
We establish Trudinger-type inequality in the context of fractional boundary Hardy-type inequality for the case $sp=d$, where $p>1, ~ s \in (0,1)$ on a bounded Lipschitz domain $\Omega \subset \mathbb{R}^d$. In particular, we establish fractional ver
Externí odkaz:
http://arxiv.org/abs/2410.19362
Autor:
Prasad, Harsh, Tewary, Vivek
We prove existence, uniqueness and initial time regularity for variational solutions to nonlocal total variation flows associated with image denoising and deblurring. In particular, we prove existence of parabolic minimisers $u$, that is, $$\int_0^T\
Externí odkaz:
http://arxiv.org/abs/2410.17649