Zobrazeno 1 - 10
of 12 778
pro vyhledávání: '"P. Ramaswamy"'
Publikováno v:
Saudi Journal of Oral Sciences, Vol 11, Iss 2, Pp 84-90 (2024)
Introduction: Myofascial pain is a common sign of temporomandibular joint disorders and a significant cause of dysfunction in the general population. Although there are many ways to treat it, because of their ease of use and effectiveness in reducing
Externí odkaz:
https://doaj.org/article/b5611de25429401c93f72d11ba8a503f
Neural networks trained with stochastic gradient descent exhibit an inductive bias towards simpler decision boundaries, typically converging to a narrow family of functions, and often fail to capture more complex features. This phenomenon raises conc
Externí odkaz:
http://arxiv.org/abs/2411.04569
In the supervised classification setting, during inference, deep networks typically make multiple predictions. For a pair of such predictions (that are in the top-k predictions), two distinct possibilities might occur. On the one hand, each of the tw
Externí odkaz:
http://arxiv.org/abs/2410.19479
Autor:
Polyak, Adam, Zohar, Amit, Brown, Andrew, Tjandra, Andros, Sinha, Animesh, Lee, Ann, Vyas, Apoorv, Shi, Bowen, Ma, Chih-Yao, Chuang, Ching-Yao, Yan, David, Choudhary, Dhruv, Wang, Dingkang, Sethi, Geet, Pang, Guan, Ma, Haoyu, Misra, Ishan, Hou, Ji, Wang, Jialiang, Jagadeesh, Kiran, Li, Kunpeng, Zhang, Luxin, Singh, Mannat, Williamson, Mary, Le, Matt, Yu, Matthew, Singh, Mitesh Kumar, Zhang, Peizhao, Vajda, Peter, Duval, Quentin, Girdhar, Rohit, Sumbaly, Roshan, Rambhatla, Sai Saketh, Tsai, Sam, Azadi, Samaneh, Datta, Samyak, Chen, Sanyuan, Bell, Sean, Ramaswamy, Sharadh, Sheynin, Shelly, Bhattacharya, Siddharth, Motwani, Simran, Xu, Tao, Li, Tianhe, Hou, Tingbo, Hsu, Wei-Ning, Yin, Xi, Dai, Xiaoliang, Taigman, Yaniv, Luo, Yaqiao, Liu, Yen-Cheng, Wu, Yi-Chiao, Zhao, Yue, Kirstain, Yuval, He, Zecheng, He, Zijian, Pumarola, Albert, Thabet, Ali, Sanakoyeu, Artsiom, Mallya, Arun, Guo, Baishan, Araya, Boris, Kerr, Breena, Wood, Carleigh, Liu, Ce, Peng, Cen, Vengertsev, Dimitry, Schonfeld, Edgar, Blanchard, Elliot, Juefei-Xu, Felix, Nord, Fraylie, Liang, Jeff, Hoffman, John, Kohler, Jonas, Fire, Kaolin, Sivakumar, Karthik, Chen, Lawrence, Yu, Licheng, Gao, Luya, Georgopoulos, Markos, Moritz, Rashel, Sampson, Sara K., Li, Shikai, Parmeggiani, Simone, Fine, Steve, Fowler, Tara, Petrovic, Vladan, Du, Yuming
We present Movie Gen, a cast of foundation models that generates high-quality, 1080p HD videos with different aspect ratios and synchronized audio. We also show additional capabilities such as precise instruction-based video editing and generation of
Externí odkaz:
http://arxiv.org/abs/2410.13720
Autor:
Himanshu, Ramaswamy, Ananth
A new discrete cohesive zone model (DCZM) is presented for modeling the interface behavior of adhesive-bonded thin laminates and sandwich panels. The proposed model treats the interface as a spring element and the adherent as a beam element. The use
Externí odkaz:
http://arxiv.org/abs/2410.02432
A robust quantum protocol has been developed that achieves highly efficient entanglement transfer from a three-atom Rydberg system, initially in a W state (|rrg>+|rgr>+|grr>)/3^0.5, to an equivalent photonic W state (|101>+|110>+|011>)/3^0.5. The ent
Externí odkaz:
http://arxiv.org/abs/2409.15598
Autor:
Siyu, Lin, Zhou, Haowen, Cote, Richard J., Watson, Mark, Govindan, Ramaswamy, Yang, Changhuei
In recent years, deep neural networks (DNNs) have demonstrated remarkable performance in pathology applications, potentially even outperforming expert pathologists due to their ability to learn subtle features from large datasets. One complication in
Externí odkaz:
http://arxiv.org/abs/2409.08338
Autor:
Hof, Paul M. J. Van den, Shi, Shengling, Fonken, Stefanie J. M., Ramaswamy, Karthik R., Hjalmarsson, Håkan, Dankers, Arne G.
When estimating models of of a multivariable dynamic system, a typical condition for consistency is to require the input signals to be persistently exciting, which is guaranteed if the input spectrum is positive definite for a sufficient number of fr
Externí odkaz:
http://arxiv.org/abs/2409.03883
Theoretical studies on the representation power of GNNs have been centered around understanding the equivalence of GNNs, using WL-Tests for detecting graph isomorphism. In this paper, we argue that such equivalence ignores the accompanying optimizati
Externí odkaz:
http://arxiv.org/abs/2408.09266
This paper presents the novel method StreamLLM for generating streamliners in constraint programming using Large Language Models (LLMs). Streamliners are constraints that narrow the search space, enhancing the speed and feasibility of solving complex
Externí odkaz:
http://arxiv.org/abs/2408.10268