Zobrazeno 1 - 10
of 3 356
pro vyhledávání: '"GOKUL, P."'
Adversarial Imitation Learning is traditionally framed as a two-player zero-sum game between a learner and an adversarially chosen cost function, and can therefore be thought of as the sequential generalization of a Generative Adversarial Network (GA
Externí odkaz:
http://arxiv.org/abs/2410.13855
Autor:
Liang, Wanchao, Liu, Tianyu, Wright, Less, Constable, Will, Gu, Andrew, Huang, Chien-Chin, Zhang, Iris, Feng, Wei, Huang, Howard, Wang, Junjie, Purandare, Sanket, Nadathur, Gokul, Idreos, Stratos
The development of large language models (LLMs) has been instrumental in advancing state-of-the-art natural language processing applications. Training LLMs with billions of parameters and trillions of tokens require sophisticated distributed systems
Externí odkaz:
http://arxiv.org/abs/2410.06511
Autor:
Gao, Zhaolin, Zhan, Wenhao, Chang, Jonathan D., Swamy, Gokul, Brantley, Kianté, Lee, Jason D., Sun, Wen
Large Language Models (LLMs) have achieved remarkable success at tasks like summarization that involve a single turn of interaction. However, they can still struggle with multi-turn tasks like dialogue that require long-term planning. Previous works
Externí odkaz:
http://arxiv.org/abs/2410.04612
Autor:
Pandy, Gokul, Jayaram, Vivekananda, Krishnappa, Manjunatha Sughaturu, Ingole, Balaji Shesharao, Ganeeb, Koushik Kumar, Joseph, Shenson
Robotics Process Automation is revolutionizing business operations by significantly enhancing efficiency, productivity, and operational excellence across various industries. This manuscript delivers a comprehensive review of recent advancements in RP
Externí odkaz:
http://arxiv.org/abs/2410.04255
Active learning enhances the performance of machine learning methods, particularly in semi-supervised cases, by judiciously selecting a limited number of unlabeled data points for labeling, with the goal of improving the performance of an underlying
Externí odkaz:
http://arxiv.org/abs/2409.09475
Autor:
Gokul, V. I., Bahuleyan, Arun, Yadav, Raghuveer Singh, Dinesh, S. P., Thakar, V. R., Sawant, Rahul, Rangwala, S. A.
We experimentally demonstrate a cavity-based detection scheme for a cold atomic ensemble with a radiatively open transition. Our method exploits the collective strong coupling of atoms to the cavity mode, which results in off-resonant probing of the
Externí odkaz:
http://arxiv.org/abs/2409.05451
Autor:
Schulze, Steve, Gal-Yam, Avishay, Dessart, Luc, Miller, Adam A., Woosley, Stan E., Yang, Yi, Bulla, Mattia, Yaron, Ofer, Sollerman, Jesper, Filippenko, Alexei V., Hinds, K-Ryan, Perley, Daniel A., Tsuna, Daichi, Lunnan, Ragnhild, Sarin, Nikhil, Brennan, Sean J., Brink, Thomas G., Bruch, Rachel J., Chen, Ping, Das, Kaustav K., Dhawan, Suhail, Fransson, Claes, Fremling, Christoffer, Gangopadhyay, Anjasha, Irani, Ido, Jerkstrand, Anders, Knezevic, Nikola, Kushnir, Doron, Maeda, Keiichi, Maguire, Kate, Ofek, Eran, Omand, Conor M. B., Qin, Yu-Jing, Sharma, Yashvi, Sit, Tawny, Srinivasaragavan, Gokul P., Strothjohann, Nora L., Takei, Yuki, Waxman, Eli, Yan, Lin, Yao, Yuhan, Zheng, WeiKang, Zimmerman, Erez A., Bellm, Eric C., Coughlin, Michael W., Masci, Frank. J., Purdum, Josiah, Rigault, Mickael, Wold, Avery, Kulkarni, Shrinivas R.
The cores of stars are the cosmic furnaces where light elements are fused into heavier nuclei. The fusion of hydrogen to helium initially powers all stars. The ashes of the fusion reactions are then predicted to serve as fuel in a series of stages, e
Externí odkaz:
http://arxiv.org/abs/2409.02054
Mutual information (MI) is a general measure of statistical dependence with widespread application across the sciences. However, estimating MI between multi-dimensional variables is challenging because the number of samples necessary to converge to a
Externí odkaz:
http://arxiv.org/abs/2409.02732
Autor:
Srinivasaragavan, Gokul P., Yang, Sheng, Anand, Shreya, Sollerman, Jesper, Ho, Anna Y. Q., Corsi, Alessandra, Cenko, S. Bradley, Perley, Daniel, Schulze, Steve, Sanchez-Fleming, Marquice, Pope, Jack, Sarin, Nikhil, Omand, Conor, Das, Kaustav K., Fremling, Christoffer, Andreoni, Igor, Bruch, Rachel, Burdge, Kevin B., De, Kishalay, Gal-Yam, Avishay, Gangopadhyay, Anjasha, Graham, Matthew J., Jencson, Jacob E., Karambelkar, Viraj, Kasliwal, Mansi M., Kulkarni, S. R., Martikainen, Julia, Sharma, Yashvi S., Tzanidakis, Anastasios, Yan, Lin, Yao, Yuhan, Bellm, Eric C., Groom, Steven L., Masci, Frank J., Nir, Guy, Purdum, Josiah, Smith, Roger, Sravan, Niharika
We study a magnitude-limited sample of 36 Broad-lined Type Ic Supernovae (SNe Ic-BL) from the Zwicky Transient Facility Bright Transient Survey (detected between March 2018 and August 2021), which is the largest systematic study of SNe Ic-BL done in
Externí odkaz:
http://arxiv.org/abs/2408.14586
Forward Error Correction (FEC) provides reliable data flow in wireless networks despite the presence of noise and interference. However, its processing demands significant fraction of a wireless network's resources, due to its computationally-expensi
Externí odkaz:
http://arxiv.org/abs/2408.11726