no code implementations • 14 Mar 2024 • Chengshu Li, Ruohan Zhang, Josiah Wong, Cem Gokmen, Sanjana Srivastava, Roberto Martín-Martín, Chen Wang, Gabrael Levine, Wensi Ai, Benjamin Martinez, Hang Yin, Michael Lingelbach, Minjune Hwang, Ayano Hiranaka, Sujay Garlanka, Arman Aydin, Sharon Lee, Jiankai Sun, Mona Anvari, Manasi Sharma, Dhruva Bansal, Samuel Hunter, Kyu-Young Kim, Alan Lou, Caleb R Matthews, Ivan Villa-Renteria, Jerry Huayang Tang, Claire Tang, Fei Xia, Yunzhu Li, Silvio Savarese, Hyowon Gweon, C. Karen Liu, Jiajun Wu, Li Fei-Fei
We present BEHAVIOR-1K, a comprehensive simulation benchmark for human-centered robotics.
no code implementations • 2 Dec 2023 • Manasi Sharma
Large Language Models (LLMs) represent formidable tools for sequence modeling, boasting an innate capacity for general pattern recognition.
no code implementations • 11 Jan 2021 • Kishalay De, Mansi M. Kasliwal, Matthew J. Hankins, Jennifer L. Sokoloski, Scott M. Adams, Michael C. B. Ashley, Aliya-Nur Babul, Ashot Bagdasaryan, Alexander Delacroix, Richard Dekany, Timothee Greffe, David Hale, Jacob E. Jencson, Viraj R. Karambelkar, Ryan M. Lau, Ashish Mahabal, Daniel McKenna, Anna M. Moore, Eran O. Ofek, Manasi Sharma, Roger M. Smith, Jamie Soon, Roberto Soria, Gokul Srinivasaragavan, Samaporn Tinyanont, Tony Travouillon
We perform the first quantitative simulation of a $3\pi$ time domain survey to estimate the Galactic nova rate using PGIR, and derive a rate of $\approx 46\pm13$ yr$^{-1}$.
High Energy Astrophysical Phenomena Astrophysics of Galaxies Solar and Stellar Astrophysics
no code implementations • 13 Jul 2020 • José Manuel Zorrilla Matilla, Manasi Sharma, Daniel Hsu, Zoltán Haiman
Deep Neural Networks (DNNs) are powerful algorithms that have been proven capable of extracting non-Gaussian information from weak lensing (WL) data sets.
Cosmology and Nongalactic Astrophysics
