Zobrazeno 1 - 10
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pro vyhledávání: '"A. Gaurav"'
Autor:
Dua, Radhika, Saxena, Nikita, Agarwal, Aditi, Wilson, Alex, Singh, Gaurav, Tran, Hoang, Deshpande, Ishan, Kaur, Amandeep, Aggarwal, Gaurav, Nath, Chandan, Basu, Arnab, Batchu, Vishal, Holla, Sharath, Kurle, Bindiya, Missura, Olana, Aggarwal, Rahul, Garg, Shubhika, Shah, Nishi, Singh, Avneet, Tewari, Dinesh, Dondzik, Agata, Adsul, Bharat, Sohoni, Milind, Praveen, Asim Rama, Dangi, Aaryan, Kadivar, Lisan, Abhishek, E, Sudhansu, Niranjan, Hattekar, Kamlakar, Datar, Sameer, Chaithanya, Musty Krishna, Reddy, Anumas Ranjith, Kumar, Aashish, Tirumala, Betala Laxmi, Talekar, Alok
Agricultural landscapes are quite complex, especially in the Global South where fields are smaller, and agricultural practices are more varied. In this paper we report on our progress in digitizing the agricultural landscape (natural and man-made) in
Externí odkaz:
http://arxiv.org/abs/2411.05359
In the evolving landscape of video enhancement and editing methodologies, a majority of deep learning techniques often rely on extensive datasets of observed input and ground truth sequence pairs for optimal performance. Such reliance often falters w
Externí odkaz:
http://arxiv.org/abs/2412.04930
Diffusion models have made significant strides in image generation, mastering tasks such as unconditional image synthesis, text-image translation, and image-to-image conversions. However, their capability falls short in the realm of video prediction,
Externí odkaz:
http://arxiv.org/abs/2412.04929
Autor:
Sharma, Gaurav, Kumar, P R
In this paper, we consider the problem of preferentially utilizing intermittent renewable power, such as wind, optimally to support thermal inertial loads in a microgrid environment. Thermal inertial loads can be programmed to preferentially consume
Externí odkaz:
http://arxiv.org/abs/2412.04054
Autor:
Dave, Bihag, Goswami, Gaurav
For a galaxy, given its observed rotation curve, can one directly infer parameters of the dark matter density profile (such as dark matter particle mass $m$, scaling parameter $s$, core-to-envelope transition radius $r_t$ and NFW scale radius $r_s$),
Externí odkaz:
http://arxiv.org/abs/2412.03547
Building fast and accurate ways to model the distribution of neutral hydrogen during the Epoch of Reionization (EoR) is essential for interpreting upcoming 21 cm observations. A key component of semi-numerical models of reionization is the collapse f
Externí odkaz:
http://arxiv.org/abs/2412.03485
Autor:
Goswami, Gaurav
Numerous observations on astrophysical and cosmological scales can be interpreted to mean that, in addition to the familiar kind of matter well described by the standard model of elementary particle physics, there exists Dark Matter (DM). The fundame
Externí odkaz:
http://arxiv.org/abs/2412.03432
This paper presents the training methodology of Arctic-Embed 2.0, a set of open-source text embedding models built for accurate and efficient multilingual retrieval. While prior works have suffered from degraded English retrieval quality, Arctic-Embe
Externí odkaz:
http://arxiv.org/abs/2412.04506
In this work, we present a novel variant of the stochastic gradient descent method termed as iteratively regularized stochastic gradient descent (IRSGD) method to solve nonlinear ill-posed problems in Hilbert spaces. Under standard assumptions, we de
Externí odkaz:
http://arxiv.org/abs/2412.02397
Bitcoin has increased investment interests in people during the last decade. We have seen an increase in the number of posts on social media platforms about cryptocurrency, especially Bitcoin. This project focuses on analyzing user tweet data in comb
Externí odkaz:
http://arxiv.org/abs/2412.02148