Zobrazeno 1 - 10
of 6 993
pro vyhledávání: '"A, Maalouf"'
End-to-end learning directly maps sensory inputs to actions, creating highly integrated and efficient policies for complex robotics tasks. However, such models are tricky to efficiently train and often struggle to generalize beyond their training sce
Externí odkaz:
http://arxiv.org/abs/2410.13002
Autor:
Gunter, Tom, Wang, Zirui, Wang, Chong, Pang, Ruoming, Narayanan, Andy, Zhang, Aonan, Zhang, Bowen, Chen, Chen, Chiu, Chung-Cheng, Qiu, David, Gopinath, Deepak, Yap, Dian Ang, Yin, Dong, Nan, Feng, Weers, Floris, Yin, Guoli, Huang, Haoshuo, Wang, Jianyu, Lu, Jiarui, Peebles, John, Ye, Ke, Lee, Mark, Du, Nan, Chen, Qibin, Keunebroek, Quentin, Wiseman, Sam, Evans, Syd, Lei, Tao, Rathod, Vivek, Kong, Xiang, Du, Xianzhi, Li, Yanghao, Wang, Yongqiang, Gao, Yuan, Ahmed, Zaid, Xu, Zhaoyang, Lu, Zhiyun, Rashid, Al, Jose, Albin Madappally, Doane, Alec, Bencomo, Alfredo, Vanderby, Allison, Hansen, Andrew, Jain, Ankur, Anupama, Anupama Mann, Kamal, Areeba, Wu, Bugu, Brum, Carolina, Maalouf, Charlie, Erdenebileg, Chinguun, Dulhanty, Chris, Moritz, Dominik, Kang, Doug, Jimenez, Eduardo, Ladd, Evan, Shi, Fangping, Bai, Felix, Chu, Frank, Hohman, Fred, Kotek, Hadas, Coleman, Hannah Gillis, Li, Jane, Bigham, Jeffrey, Cao, Jeffery, Lai, Jeff, Cheung, Jessica, Shan, Jiulong, Zhou, Joe, Li, John, Qin, Jun, Singh, Karanjeet, Vega, Karla, Zou, Kelvin, Heckman, Laura, Gardiner, Lauren, Bowler, Margit, Cordell, Maria, Cao, Meng, Hay, Nicole, Shahdadpuri, Nilesh, Godwin, Otto, Dighe, Pranay, Rachapudi, Pushyami, Tantawi, Ramsey, Frigg, Roman, Davarnia, Sam, Shah, Sanskruti, Guha, Saptarshi, Sirovica, Sasha, Ma, Shen, Ma, Shuang, Wang, Simon, Kim, Sulgi, Jayaram, Suma, Shankar, Vaishaal, Paidi, Varsha, Kumar, Vivek, Wang, Xin, Zheng, Xin, Cheng, Walker, Shrager, Yael, Ye, Yang, Tanaka, Yasu, Guo, Yihao, Meng, Yunsong, Luo, Zhao Tang, Ouyang, Zhi, Aygar, Alp, Wan, Alvin, Walkingshaw, Andrew, Lin, Antonie, Farooq, Arsalan, Ramerth, Brent, Reed, Colorado, Bartels, Chris, Chaney, Chris, Riazati, David, Yang, Eric Liang, Feldman, Erin, Hochstrasser, Gabriel, Seguin, Guillaume, Belousova, Irina, Pelemans, Joris, Yang, Karen, Vahid, Keivan Alizadeh, Cao, Liangliang, Najibi, Mahyar, Zuliani, Marco, Horton, Max, Cho, Minsik, Bhendawade, Nikhil, Dong, Patrick, Maj, Piotr, Agrawal, Pulkit, Shan, Qi, Fu, Qichen, Poston, Regan, Xu, Sam, Liu, Shuangning, Rao, Sushma, Heeramun, Tashweena, Merth, Thomas, Rayala, Uday, Cui, Victor, Sridhar, Vivek Rangarajan, Zhang, Wencong, Zhang, Wenqi, Wu, Wentao, Zhou, Xingyu, Liu, Xinwen, Zhao, Yang, Xia, Yin, Ren, Zhile, Ren, Zhongzheng
We present foundation language models developed to power Apple Intelligence features, including a ~3 billion parameter model designed to run efficiently on devices and a large server-based language model designed for Private Cloud Compute. These mode
Externí odkaz:
http://arxiv.org/abs/2407.21075
Autor:
Maalouf, Mathieu, Di Maio, Yoan, Pallarés-Aldeiturriaga, David, Sedao, Xxx, Hivert, Lauriane, Papa, Steve, Dalix, Elisa, Thomas, Mireille, Guignandon, Alain, Dumas, Virginie
Osseointegration is one of the key conditions for long term successful dental implantation. To this end, titanium alloys undergo plethora of surface treatments able to sustain osteogenic differentiation. For these surface treatments, femtosecond lase
Externí odkaz:
http://arxiv.org/abs/2406.11521
We provide a sober look at the application of Multimodal Large Language Models (MLLMs) in autonomous driving, challenging common assumptions about their ability to interpret dynamic driving scenarios. Despite advances in models like GPT-4o, their per
Externí odkaz:
http://arxiv.org/abs/2405.05956
Autor:
Jing Li, Pia Balmaceda, Thuy Ha, Joseph R. Visker, Nicole Maalouf, Eugene Kwan, Guillaume L. Hoareau, Michel Accad, Ravi Ranjan, Craig H. Selzman, Stavros G. Drakos, Robin M. Shaw, TingTing Hong
Publikováno v:
npj Regenerative Medicine, Vol 9, Iss 1, Pp 1-14 (2024)
Abstract Heart failure (HF) is a major cause of mortality and morbidity worldwide, yet with limited therapeutic options. Cardiac bridging integrator 1 (cBIN1), a cardiomyocyte transverse-tubule (t-tubule) scaffolding protein which organizes the calci
Externí odkaz:
https://doaj.org/article/8a87c03e802d46abbc4baf6b3c5319f7
Autor:
Jacob Murphy, R. Taylor Sundby, Erin E. Resch, Ruyan Rahnama, Kathryn M. Lemberg, Alexandre Maalouf, Aditya Suru, Jason Fixler, Brian H. Ladle, Daniel S. Rhee, Adam S. Levin, Aparna Pallavajjala, Christopher Gocke, Matthew M. Ladra, Mari L. Groves, Sahaja Acharya, John M. Gross, Nicolas J. Llosa, Christine A. Pratilas
Publikováno v:
Current Oncology, Vol 31, Iss 11, Pp 7014-7022 (2024)
Background: Brain metastases in pediatric osteosarcoma are infrequent but associated with a dire prognosis. Methods: This retrospective study examined six pediatric patients at Johns Hopkins Hospital who developed brain metastases from osteosarcoma b
Externí odkaz:
https://doaj.org/article/8c28ebfd6ef64e2eb3727f0842af393d
Autor:
Wang, Tsun-Hsuan, Maalouf, Alaa, Xiao, Wei, Ban, Yutong, Amini, Alexander, Rosman, Guy, Karaman, Sertac, Rus, Daniela
As autonomous driving technology matures, end-to-end methodologies have emerged as a leading strategy, promising seamless integration from perception to control via deep learning. However, existing systems grapple with challenges such as unexpected o
Externí odkaz:
http://arxiv.org/abs/2310.17642
Autor:
Maalouf, Alaa, Jadhav, Ninad, Jatavallabhula, Krishna Murthy, Chahine, Makram, Vogt, Daniel M., Wood, Robert J., Torralba, Antonio, Rus, Daniela
Tracking and following objects of interest is critical to several robotics use cases, ranging from industrial automation to logistics and warehousing, to healthcare and security. In this paper, we present a robotic system to detect, track, and follow
Externí odkaz:
http://arxiv.org/abs/2308.05737
Publikováno v:
World Journal of Engineering, 2023, Vol. 21, Issue 5, pp. 862-881.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/WJE-12-2022-0514
Deep learning has grown tremendously over recent years, yielding state-of-the-art results in various fields. However, training such models requires huge amounts of data, increasing the computational time and cost. To address this, dataset distillatio
Externí odkaz:
http://arxiv.org/abs/2307.08086