Zobrazeno 1 - 10
of 66 487
pro vyhledávání: '"A Ramakrishnan"'
Autor:
Das, Dibyendu, Patankar, Aditya, Chakraborty, Nilanjan, Ramakrishnan, C. R., Ramakrishnan, I. V.
In this paper, we study the problem of methodically obtaining a sufficient set of kinesthetic demonstrations, one at a time, such that a robot can be confident of its ability to perform a complex manipulation task in a given region of its workspace.
Externí odkaz:
http://arxiv.org/abs/2410.18275
Autor:
Das, Dibyendu, Fontanini, Alfredo, Kogan, Joshua F., Ling, Haibin, Ramakrishnan, C. R., Ramakrishnan, I. V.
Fully optimized automation of behavioral training protocols for lab animals like rodents has long been a coveted goal for researchers. It is an otherwise labor-intensive and time-consuming process that demands close interaction between the animal and
Externí odkaz:
http://arxiv.org/abs/2410.18221
Autor:
Ramakrishnan, Vyaas, Desai, Shantanu
We search for transient gamma-ray emission in the energy range from 0.1-300 GeV using data from the Fermi-LAT telescope in coincidence with magnetar flares. For our analysis we look for coincidence with 15 distinct flares from 11 magnetars using two
Externí odkaz:
http://arxiv.org/abs/2412.03900
Autor:
Rani, Anju, Mongia, Vardaan, Parvatikar, Parvatesh, Gharate, Rutuj, Sharma, Tanya, Ramakrishnan, Jayanth, Chandravanshi, Pooja, Singh, R. P.
The BB84 quantum key distribution protocol set the foundation for achieving secure quantum communication. Since its inception, significant advancements have aimed to overcome experimental challenges and enhance security. In this paper, we report the
Externí odkaz:
http://arxiv.org/abs/2412.02944
Building on their demonstrated ability to perform a variety of tasks, we investigate the application of large language models (LLMs) to enhance in-depth analytical reasoning within the context of intelligence analysis. Intelligence analysts typically
Externí odkaz:
http://arxiv.org/abs/2411.16116
Most state-of-the-art techniques for Language Models (LMs) today rely on transformer-based architectures and their ubiquitous attention mechanism. However, the exponential growth in computational requirements with longer input sequences confines Tran
Externí odkaz:
http://arxiv.org/abs/2411.16618
Autor:
Singh, Akriti, Guaita, Lucia, Hibon, Pascale, Häussler, Boris, Lee, Kyoung-Soo, Ramakrishnan, Vandana, Kumar, Ankit, Padilla, Nelson, Firestone, Nicole M., Song, Hyunmi, Artale, Maria Celeste, Hwang, Ho Seong, Iribarren, Paulina Troncoso, Gronwall, Caryl, Gawiser, Eric, Nantais, Julie, Valdes, Francisco, Park, Changbom, Yang, Yujin
The aim of this study is to identify quiescent galaxies in the 2-deg$^2$ COSMOS field at $z \sim 3.1$ and analyze their environment. Using data from the ODIN survey and COSMOS2020 catalog, we identify 24 massive quiescent galaxies (MQGs) with stellar
Externí odkaz:
http://arxiv.org/abs/2411.12722
Fix a Dirichlet character $\chi$ and a cuspidal GL$(2)$ eigenform $\phi$ with relatively prime conductors. Then we show that there are infinitely many cusp forms $\pi$ on GL$(3)$ such that $L(1/2, \pi \times \chi)$ and $L(1/2, \pi \times \phi)$ are s
Externí odkaz:
http://arxiv.org/abs/2411.12609
Autor:
Racha, Suraj, Gupta, Shubh, Firdowse, Humaira, Solanki, Aastik, Ramakrishnan, Ganesh, Jadhav, Kshitij S.
Federated Learning (FL) is a pioneering approach in distributed machine learning, enabling collaborative model training across multiple clients while retaining data privacy. However, the inherent heterogeneity due to imbalanced resource representatio
Externí odkaz:
http://arxiv.org/abs/2411.10383
GUIDEQ: Framework for Guided Questioning for progressive informational collection and classification
Question Answering (QA) is an important part of tasks like text classification through information gathering. These are finding increasing use in sectors like healthcare, customer support, legal services, etc., to collect and classify responses into
Externí odkaz:
http://arxiv.org/abs/2411.05991