Zobrazeno 1 - 10
of 15 159
pro vyhledávání: '"A. Shivam"'
Autor:
Anil K. Pokharia, Himani Patel, Abhijit S. Ambekar, Michael Spate, Deepika Tripathi, Shalini Sharma, Rajesh Agnihotri, Keir M. Strickland, Lara González-Carretero, Ravi Bhushan, Alka Srivastava, Ruchita Yadav, A. Shivam, Ankur J. Dabhi, K.P. Singh
Publikováno v:
Quaternary Science Advances, Vol 13, Iss , Pp 100155- (2024)
The relationship between historical climate change and past agricultural production contributes to a better understanding of the impacts of projected climate change by providing empirical data for resilient human responses. This study explores the pe
Externí odkaz:
https://doaj.org/article/0566bbdb6e9542e99fa09d02452d2a33
We present a comprehensive analysis of the X-ray spectral properties of 198 newly identified active galactic nuclei (AGNs), leveraging archival data from the {\it Chandra} X-ray Observatory. All these AGNs exhibit a powerlaw spectral signature spanni
Externí odkaz:
http://arxiv.org/abs/2409.14081
Autor:
Mahajan, Shivam, Han, Darryl Seow Yang, Jiang, Cunyuan, Baggioli, Matteo, Ciamarra, Massimo Pica
The vibrational density of states is key to understanding the mechanical, thermal, and transport properties of materials. In amorphous solids, this density shows an excess of vibrational modes compared to the Debye model, known as the boson peak, who
Externí odkaz:
http://arxiv.org/abs/2409.13169
Autor:
Shandilya, Shivam, Xia, Menglin, Ghosh, Supriyo, Jiang, Huiqiang, Zhang, Jue, Wu, Qianhui, Rühle, Victor
The increasing prevalence of large language models (LLMs) such as GPT-4 in various applications has led to a surge in the size of prompts required for optimal performance, leading to challenges in computational efficiency. Prompt compression aims to
Externí odkaz:
http://arxiv.org/abs/2409.13035
We develop a transformer-based conditional generative model for discrete point objects and their properties. We use it to build a model for populating cosmological simulations with gravitationally collapsed structures called dark matter halos. Specif
Externí odkaz:
http://arxiv.org/abs/2409.11401
Autor:
Ying, Lance, Liu, Jason Xinyu, Aarya, Shivam, Fang, Yizirui, Tellex, Stefanie, Tenenbaum, Joshua B., Shu, Tianmin
Spoken language instructions are ubiquitous in agent collaboration. However, in human-robot collaboration, recognition accuracy for human speech is often influenced by various speech and environmental factors, such as background noise, the speaker's
Externí odkaz:
http://arxiv.org/abs/2409.10849
Autor:
Liu, Bingchen, Akhgari, Ehsan, Visheratin, Alexander, Kamko, Aleks, Xu, Linmiao, Shrirao, Shivam, Souza, Joao, Doshi, Suhail, Li, Daiqing
We introduce Playground v3 (PGv3), our latest text-to-image model that achieves state-of-the-art (SoTA) performance across multiple testing benchmarks, excels in graphic design abilities and introduces new capabilities. Unlike traditional text-to-ima
Externí odkaz:
http://arxiv.org/abs/2409.10695
Autor:
Pandey, Shivam, Modi, Chirag, Wandelt, Benjamin D., Bartlett, Deaglan J., Bayer, Adrian E., Bryan, Greg L., Ho, Matthew, Lavaux, Guilhem, Makinen, T. Lucas, Villaescusa-Navarro, Francisco
To maximize the amount of information extracted from cosmological datasets, simulations that accurately represent these observations are necessary. However, traditional simulations that evolve particles under gravity by estimating particle-particle i
Externí odkaz:
http://arxiv.org/abs/2409.09124
Many modern applications of Bayesian inference, such as in cosmology, are based on complicated forward models with high-dimensional parameter spaces. This considerably limits the sampling of posterior distributions conditioned on observed data. In tu
Externí odkaz:
http://arxiv.org/abs/2409.09101
Autor:
Barwey, Shivam, Pal, Pinaki, Patel, Saumil, Balin, Riccardo, Lusch, Bethany, Vishwanath, Venkatram, Maulik, Romit, Balakrishnan, Ramesh
A graph neural network (GNN) approach is introduced in this work which enables mesh-based three-dimensional super-resolution of fluid flows. In this framework, the GNN is designed to operate not on the full mesh-based field at once, but on localized
Externí odkaz:
http://arxiv.org/abs/2409.07769