Zobrazeno 1 - 10
of 6 337
pro vyhledávání: '"Keerthana A."'
In this paper, we derive a general formula to express the product of three theta functions as a linear combination of other products of three theta functions. Moreover, we use the main formula to deduce a general formula for the product of two theta
Externí odkaz:
http://arxiv.org/abs/2410.13555
Accurate approximation of complex nonlinear functions is a fundamental challenge across many scientific and engineering domains. Traditional neural network architectures, such as Multi-Layer Perceptrons (MLPs), often struggle to efficiently capture i
Externí odkaz:
http://arxiv.org/abs/2405.07200
Introduction: Music provides an incredible avenue for individuals to express their thoughts and emotions, while also serving as a delightful mode of entertainment for enthusiasts and music lovers. Objectives: This paper presents a comprehensive appro
Externí odkaz:
http://arxiv.org/abs/2404.04654
Autor:
Liang, Jacky, Xia, Fei, Yu, Wenhao, Zeng, Andy, Arenas, Montserrat Gonzalez, Attarian, Maria, Bauza, Maria, Bennice, Matthew, Bewley, Alex, Dostmohamed, Adil, Fu, Chuyuan Kelly, Gileadi, Nimrod, Giustina, Marissa, Gopalakrishnan, Keerthana, Hasenclever, Leonard, Humplik, Jan, Hsu, Jasmine, Joshi, Nikhil, Jyenis, Ben, Kew, Chase, Kirmani, Sean, Lee, Tsang-Wei Edward, Lee, Kuang-Huei, Michaely, Assaf Hurwitz, Moore, Joss, Oslund, Ken, Rao, Dushyant, Ren, Allen, Tabanpour, Baruch, Vuong, Quan, Wahid, Ayzaan, Xiao, Ted, Xu, Ying, Zhuang, Vincent, Xu, Peng, Frey, Erik, Caluwaerts, Ken, Zhang, Tingnan, Ichter, Brian, Tompson, Jonathan, Takayama, Leila, Vanhoucke, Vincent, Shafran, Izhak, Mataric, Maja, Sadigh, Dorsa, Heess, Nicolas, Rao, Kanishka, Stewart, Nik, Tan, Jie, Parada, Carolina
Large language models (LLMs) have been shown to exhibit a wide range of capabilities, such as writing robot code from language commands -- enabling non-experts to direct robot behaviors, modify them based on feedback, or compose them to perform new t
Externí odkaz:
http://arxiv.org/abs/2402.11450
The many unique properties of galaxies are shaped by physical processes that affect different components of the galaxy - like the bulges and discs - in different ways, and leave characteristic imprints on the light and spectra of these components. Di
Externí odkaz:
http://arxiv.org/abs/2402.00959
Autor:
Ahn, Michael, Dwibedi, Debidatta, Finn, Chelsea, Arenas, Montse Gonzalez, Gopalakrishnan, Keerthana, Hausman, Karol, Ichter, Brian, Irpan, Alex, Joshi, Nikhil, Julian, Ryan, Kirmani, Sean, Leal, Isabel, Lee, Edward, Levine, Sergey, Lu, Yao, Maddineni, Sharath, Rao, Kanishka, Sadigh, Dorsa, Sanketi, Pannag, Sermanet, Pierre, Vuong, Quan, Welker, Stefan, Xia, Fei, Xiao, Ted, Xu, Peng, Xu, Steve, Xu, Zhuo
Foundation models that incorporate language, vision, and more recently actions have revolutionized the ability to harness internet scale data to reason about useful tasks. However, one of the key challenges of training embodied foundation models is t
Externí odkaz:
http://arxiv.org/abs/2401.12963
Autor:
Kumar, Keerthana S, Dash, Ajit Kumar, H, Hasna Sabreen, Verma, Manvi, Kumar, Vivek, Watanabe, Kenji, Taniguchi, Takashi, Gautam, Gopalakrishnan Sai, Singh, Akshay
An intense low-energy broad luminescence peak (L-peak) is usually observed in 2D transition metal dichalcogenides (TMDs) at low temperatures. L-peak has earlier been attributed to bound excitons, but its origins are widely debated with direct consequ
Externí odkaz:
http://arxiv.org/abs/2312.14604
Autor:
Shah, Raunak, Mukherjee, Koyel, Tyagi, Atharv, Karnam, Sai Keerthana, Joshi, Dhruv, Bhosale, Shivam, Mitra, Subrata
Publikováno v:
Proc. ACM Manag. Data 1, 4, Article 268 (December 2023), 25 pages
Enterprise data lakes often suffer from substantial amounts of duplicate and redundant data, with data volumes ranging from terabytes to petabytes. This leads to both increased storage costs and unnecessarily high maintenance costs for these datasets
Externí odkaz:
http://arxiv.org/abs/2312.13427
Edge devices have typically been used for DNN inferencing. The increase in the compute power of accelerated edges is leading to their use in DNN training also. As privacy becomes a concern on multi-tenant edge devices, Docker containers provide a lig
Externí odkaz:
http://arxiv.org/abs/2312.07220
Autor:
Gu, Jiayuan, Kirmani, Sean, Wohlhart, Paul, Lu, Yao, Arenas, Montserrat Gonzalez, Rao, Kanishka, Yu, Wenhao, Fu, Chuyuan, Gopalakrishnan, Keerthana, Xu, Zhuo, Sundaresan, Priya, Xu, Peng, Su, Hao, Hausman, Karol, Finn, Chelsea, Vuong, Quan, Xiao, Ted
Generalization remains one of the most important desiderata for robust robot learning systems. While recently proposed approaches show promise in generalization to novel objects, semantic concepts, or visual distribution shifts, generalization to new
Externí odkaz:
http://arxiv.org/abs/2311.01977