Zobrazeno 1 - 10
of 4 133
pro vyhledávání: '"Gogate A"'
Autor:
Tuo, Youli, Li, Xiaobo, Tan, Ying, Wu, Baiyang, Jiang, Weichun, Song, Liming, Qu, Jinlu, Gogate, Sudeep, Zhang, Shuang-Nan, Santangelo, Andrea
Dead time is a common instrumental effect of X-ray detectors which would alter the behavior of timing properties of astronomical signals, such as distorting the shape of power density spectra (PDS), affecting the root-mean-square of potential quasi-p
Externí odkaz:
http://arxiv.org/abs/2407.07807
We present a unified framework called deep dependency networks (DDNs) that combines dependency networks and deep learning architectures for multi-label classification, with a particular emphasis on image and video data. The primary advantage of depen
Externí odkaz:
http://arxiv.org/abs/2404.11667
We propose a self-supervised learning approach for solving the following constrained optimization task in log-linear models or Markov networks. Let $f$ and $g$ be two log-linear models defined over the sets $\mathbf{X}$ and $\mathbf{Y}$ of random var
Externí odkaz:
http://arxiv.org/abs/2404.11606
We introduce a new trajectory optimization method for robotic grasping based on a point-cloud representation of robots and task spaces. In our method, robots are represented by 3D points on their link surfaces. The task space of a robot is represente
Externí odkaz:
http://arxiv.org/abs/2403.05466
Spatio-temporal scene graphs represent interactions in a video by decomposing scenes into individual objects and their pair-wise temporal relationships. Long-term anticipation of the fine-grained pair-wise relationships between objects is a challengi
Externí odkaz:
http://arxiv.org/abs/2403.04899
Autor:
Kirton-Wingate, Jasper, Ahmed, Shafique, Hussain, Adeel, Gogate, Mandar, Dashtipour, Kia, Hou, Jen-Cheng, Hussain, Tassadaq, Tsao, Yu, Hussain, Amir
Since the advent of Deep Learning (DL), Speech Enhancement (SE) models have performed well under a variety of noise conditions. However, such systems may still introduce sonic artefacts, sound unnatural, and restrict the ability for a user to hear am
Externí odkaz:
http://arxiv.org/abs/2402.16757
Probabilistic circuits (PCs) such as sum-product networks efficiently represent large multi-variate probability distributions. They are preferred in practice over other probabilistic representations such as Bayesian and Markov networks because PCs ca
Externí odkaz:
http://arxiv.org/abs/2402.03621
Autor:
Peddi, Rohith, Arya, Shivvrat, Challa, Bharath, Pallapothula, Likhitha, Vyas, Akshay, Wang, Jikai, Zhang, Qifan, Komaragiri, Vasundhara, Ragan, Eric, Ruozzi, Nicholas, Xiang, Yu, Gogate, Vibhav
Following step-by-step procedures is an essential component of various activities carried out by individuals in their daily lives. These procedures serve as a guiding framework that helps to achieve goals efficiently, whether it is assembling furnitu
Externí odkaz:
http://arxiv.org/abs/2312.14556
Autor:
Luke, K. J., Mishra, Abhinav, Ghare, Vihaan, Chanyal, Shaurya, Shukla, Priyamvada, Pandey, Anushreya, Rane, Vaishnavi, Pathan, Ashadieeyah, Vaja, Parv, Gogate, Sai, Tiwari, Shreyansh, Singh, Jagruti, Davda, Dhruv
Science-AI Symbiotic Group at Seven Square Academy, Naigaon was formed in 2023 with the purpose of bringing school students to the forefronts of science research by involving them in hands on research. In October 2023 a new project was started with t
Externí odkaz:
http://arxiv.org/abs/2402.01856
Autor:
Åkesson, Torsten, Bravo, Cameron, Brennan, Liam, Bryngemark, Lene Kristian, Butti, Pierfrancesco, Dukes, E. Craig, Dutta, Valentina, Echenard, Bertrand, Eichlersmith, Thomas, Eisch, Jonathan, Elén, Einar, Ehrlich, Ralf, Froemming, Cooper, Furmanski, Andrew, Gogate, Niramay, Grieco, Chiara, Group, Craig, Herde, Hannah, Herwig, Christian, Hitlin, David G., Horoho, Tyler, Incandela, Joseph, Ketchum, Wesley, Krnjaic, Gordan, Li, Amina, Mans, Jeremiah, Masterson, Phillip, Middleton, Sophie, Moreno, Omar, Mullier, Geoffrey, Muse, Joseph, Nelson, Timothy, O'Dwyer, Rory, Östman, Leo, Oyang, James, Pascadlo, Jessica, Pöttgen, Ruth, Sarmiento, Luis G., Schuster, Philip, Solt, Matthew, Suarez, Cristina Mantilla, Tompkins, Lauren, Toro, Natalia, Tran, Nhan, Wallin, Erik, Whitbeck, Andrew, Zhang, Danyi
The Light Dark Matter eXperiment (LDMX) is an electron-beam fixed-target experiment designed to achieve comprehensive model independent sensitivity to dark matter particles in the sub-GeV mass region. An upgrade to the LCLS-II accelerator will increa
Externí odkaz:
http://arxiv.org/abs/2308.15173