Brandon Amos

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	总计	2019 年至今
引用	9433	8179
h 指数	39	35
i10 指数	56	55

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Mahadev SatyanarayananJaime Carbonell University Professor of Computer Science, Carnegie Mellon University在 cs.cmu.edu 的电子邮件经过验证
Zico KolterCarnegie Mellon University在 cs.cmu.edu 的电子邮件经过验证
Denis YaratsCofounder and CTO, Perplexity AI在 perplexity.ai 的电子邮件经过验证
Ricky Tian Qi ChenMeta FAIR在 meta.com 的电子邮件经过验证
Maximilian NickelResearch Scientist at FAIR, Meta AI在 meta.com 的电子邮件经过验证
Samuel CohenUniversity College London在 ucl.ac.uk 的电子邮件经过验证
Ivan Dario Jimenez RodriguezCalifornia Institute of Technology在 caltech.edu 的电子邮件经过验证
Stephen BoydProfessor of Electrical Engineering, Computer Science, and Management Science, Stanford在 stanford.edu 的电子邮件经过验证
Shane BarrattPhD Student, Stanford University在 stanford.edu 的电子邮件经过验证
Akshay AgrawalPhD, Stanford University在 cs.stanford.edu 的电子邮件经过验证
Steven DiamondGridmatic在 cs.stanford.edu 的电子邮件经过验证
Lei XuAmazon AWS AI Labs; MIT在 mit.edu 的电子邮件经过验证
Nathan LambertResearch Scientist, Allen AI在 allenai.org 的电子邮件经过验证
Yaron LipmanWeizmann Institute, FAIR Meta在 weizmann.ac.il 的电子邮件经过验证
Andrew Gordon WilsonNew York University在 cims.nyu.edu 的电子邮件经过验证
Anselm PaulusPhD Student with IMPRS-IS @ MPI-IS Tübingen在 tuebingen.mpg.de 的电子邮件经过验证
Rob FergusResearch Scientist, DeepMind. Professor of Computer Science, New York University在 cs.nyu.edu 的电子邮件经过验证
Joelle PineauSchool of Computer Science, McGill University; FAIR, Meta AI; Mila在 cs.mcgill.ca 的电子邮件经过验证
Ilya KostrikovOpenAI在 openai.com 的电子邮件经过验证
Byron BootsAssociate Professor, University of Washington在 cs.washington.edu 的电子邮件经过验证

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Brandon Amos

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machine learning optimization deep learning


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Openface: A general-purpose face recognition library with mobile applications B Amos, B Ludwiczuk, M Satyanarayanan CMU, 2016	1431	2016
OptNet: Differentiable optimization as a layer in neural networks B Amos, JZ Kolter ICML, 2017	1111	2017
Input convex neural networks B Amos, L Xu, JZ Kolter ICML, 2017	722	2017
Differentiable convex optimization layers A Agrawal, B Amos, S Barratt, S Boyd, S Diamond, JZ Kolter NeurIPS, 2019	718	2019
Edge analytics in the internet of things M Satyanarayanan, P Simoens, Y Xiao, P Pillai, Z Chen, K Ha, W Hu, ... IEEE Pervasive Computing, 2015	556	2015
Improving sample efficiency in model-free reinforcement learning from images D Yarats, A Zhang, I Kostrikov, B Amos, J Pineau, R Fergus AAAI, 2021	461	2021
Differentiable MPC for end-to-end planning and control B Amos, I Jimenez, J Sacks, B Boots, JZ Kolter NeurIPS, 2018	443	2018
Task-based end-to-end model learning in stochastic optimization P Donti, B Amos, JZ Kolter NeurIPS, 2017	403	2017
An empirical study of latency in an emerging class of edge computing applications for wearable cognitive assistance Z Chen, W Hu, J Wang, S Zhao, B Amos, G Wu, K Ha, K Elgazzar, P Pillai, ... SEC, 2017	263	2017
Applying machine learning classifiers to dynamic android malware detection at scale B Amos, H Turner, J White IWCMC, 2013	262	2013
Quantifying the impact of edge computing on mobile applications W Hu, Y Gao, K Ha, J Wang, B Amos, Z Chen, P Pillai, M Satyanarayanan APSys, 2016	219	2016
Generalized inner loop meta-learning E Grefenstette, B Amos, D Yarats, PM Htut, A Molchanov, F Meier, D Kiela, ... arXiv, 2019	177	2019
A scalable and privacy-aware IoT service for live video analytics J Wang, B Amos, A Das, P Pillai, N Sadeh, M Satyanarayanan MMSys, 2017	167	2017
Adaptive VM handoff across cloudlets K Ha, Y Abe, Z Chen, W Hu, B Amos, P Pillai, M Satyanarayanan CMU, 2015	164	2015
Learning Neural Event Functions for Ordinary Differential Equations RTQ Chen, B Amos, M Nickel ICLR, 2021	137	2021
Privacy mediators: Helping iot cross the chasm N Davies, N Taft, M Satyanarayanan, S Clinch, B Amos HotMobile, 2016	132	2016
You can teach elephants to dance: Agile VM handoff for edge computing K Ha, Y Abe, T Eiszler, Z Chen, W Hu, B Amos, R Upadhyaya, P Pillai, ... SEC, 2017	123	2017
Neural Spatio-Temporal Point Processes RTQ Chen, B Amos, M Nickel ICLR, 2021	107	2021
Tutorial on amortized optimization B Amos Foundations and Trends in Machine Learning, 2023	103*	2023
Objective Mismatch in Model-based Reinforcement Learning N Lambert, B Amos, O Yadan, R Calandra L4DC, 2020	103	2020

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