Zobrazeno 1 - 10
of 13 673
pro vyhledávání: '"P. P. Balakrishnan"'
Autor:
Sengar, R., Bailes, M., Balakrishnan, V., Barr, E. D., Bhat, N. D. R., Burgay, M., Bernadich, M. C. i, Cameron, A. D., Champion, D. J., Chen, W., Flynn, C. M. L., Jameson, A., Johnston, S., Keith, M. J., Kramer, M., Morello, V., Ng, C., Possenti, A., Stevenson, S., Shannon, R. M., van Straten, W., Wongphechauxsorn, J.
We have conducted a GPU accelerated reprocessing of $\sim 87\%$ of the archival data from the High Time Resolution Universe South Low Latitude (HTRU-S LowLat) pulsar survey by implementing a pulsar search pipeline that was previously used to reproces
Externí odkaz:
http://arxiv.org/abs/2412.07104
This paper presents an experimental framework for implementing Decentralized Autonomous Database Systems (DADBS) using the Rust programming language. As traditional centralized databases face challenges in scalability, security, and autonomy, DADBS e
Externí odkaz:
http://arxiv.org/abs/2412.05078
Autor:
Li, Jialong, De Marchi, Federico, Lei, Yiming, Joshi, Raj, Chandrasekaran, Balakrishnan, Xia, Yiting
Optical data center networks (DCNs) are emerging as a promising solution for cloud infrastructure in the post-Moore's Law era, particularly with the advent of 'fast-switched' optical architectures capable of circuit reconfiguration at microsecond or
Externí odkaz:
http://arxiv.org/abs/2412.00266
Autor:
Xiong, Yunyang, Zhou, Chong, Xiang, Xiaoyu, Wu, Lemeng, Zhu, Chenchen, Liu, Zechun, Suri, Saksham, Varadarajan, Balakrishnan, Akula, Ramya, Iandola, Forrest, Krishnamoorthi, Raghuraman, Soran, Bilge, Chandra, Vikas
Segment Anything Model 2 (SAM 2) has emerged as a powerful tool for video object segmentation and tracking anything. Key components of SAM 2 that drive the impressive video object segmentation performance include a large multistage image encoder for
Externí odkaz:
http://arxiv.org/abs/2411.18933
Autor:
Lei, Yiming, De Marchi, Federico, Li, Jialong, Joshi, Raj, Chandrasekaran, Balakrishnan, Xia, Yiting
Optical data center networks (DCNs) are emerging as a promising design for cloud infrastructure. However, existing optical DCN architectures operate as closed ecosystems, tying software solutions to specific optical hardware. We introduce Lighthouse,
Externí odkaz:
http://arxiv.org/abs/2411.18319
Autor:
Shenoy, Rahul, Pan, Zhihong, Balakrishnan, Kaushik, Cheng, Qisen, Jeon, Yongmoon, Yang, Heejune, Kim, Jaewon
Image generation using diffusion models have demonstrated outstanding learning capabilities, effectively capturing the full distribution of the training dataset. They are known to generate wide variations in sampled images, albeit with a trade-off in
Externí odkaz:
http://arxiv.org/abs/2411.15393
Autor:
Levis, Alexander W., Kennedy, Edward H., McClean, Alec, Balakrishnan, Sivaraman, Wasserman, Larry
Recent methodological research in causal inference has focused on effects of stochastic interventions, which assign treatment randomly, often according to subject-specific covariates. In this work, we demonstrate that the usual notion of stochastic i
Externí odkaz:
http://arxiv.org/abs/2411.14285
Autonomous multi-agent systems such as hospital robots and package delivery drones often operate in highly uncertain environments and are expected to achieve complex temporal task objectives while ensuring safety. While learning-based methods such as
Externí odkaz:
http://arxiv.org/abs/2411.10558
Autor:
Powell, Lewis, Kuang, Wenjun, Hawkins-Pottier, Gabriel, Jalil, Rashid, Birkbeck, John, Jiang, Ziyi, Kim, Minsoo, Zou, Yichao, Komrakova, Sofiia, Haigh, Sarah, Timokhin, Ivan, Balakrishnan, Geetha, Geim, Andre K., Walet, Niels, Principi, Alessandro, Grigorieva, Irina V.
Unconventional superconductivity, where electron pairing does not involve electron-phonon interactions, is often attributed to magnetic correlations in a material. Well known examples include high-T_c cuprates and uranium-based heavy fermion supercon
Externí odkaz:
http://arxiv.org/abs/2411.09239
Autor:
Yang, Benhui, Qu, Chen, Bowman, J. M., Yang, Dongzheng, Guo, Hua, Balakrishnan, N., Forrey, R. C., Stancil, P. C.
The rovibrational level populations, and subsequent emission in various astrophysical environments, is driven by inelastic collision processes. The available rovibrational rate coefficients for water have been calculated using a number of approximati
Externí odkaz:
http://arxiv.org/abs/2411.08707