Brandon Amos

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Mahadev SatyanarayananJaime Carbonell University Professor of Computer Science, Carnegie Mellon University在 cs.cmu.edu 的電子郵件地址已通過驗證
Zico KolterCarnegie Mellon University在 cs.cmu.edu 的電子郵件地址已通過驗證
Denis YaratsCofounder and CTO, Perplexity AI在 perplexity.ai 的電子郵件地址已通過驗證
Ricky Tian Qi ChenMeta FAIR在 meta.com 的電子郵件地址已通過驗證
Maximilian NickelResearch Scientist at FAIR, Meta AI在 meta.com 的電子郵件地址已通過驗證
Samuel CohenUniversity College London在 ucl.ac.uk 的電子郵件地址已通過驗證
Ivan Dario Jimenez RodriguezCalifornia Institute of Technology在 caltech.edu 的電子郵件地址已通過驗證
Lei XuAmazon AWS AI Labs; MIT在 mit.edu 的電子郵件地址已通過驗證
Stephen BoydProfessor of Electrical Engineering, Computer Science, and Management Science, Stanford在 stanford.edu 的電子郵件地址已通過驗證
Shane BarrattPhD Student, Stanford University在 stanford.edu 的電子郵件地址已通過驗證
Akshay AgrawalPhD, Stanford University在 cs.stanford.edu 的電子郵件地址已通過驗證
Steven DiamondGridmatic在 cs.stanford.edu 的電子郵件地址已通過驗證
Nathan LambertResearch Scientist, Allen AI在 allenai.org 的電子郵件地址已通過驗證
Yaron LipmanFAIR Meta, Weizmann Institute在 weizmann.ac.il 的電子郵件地址已通過驗證
Anselm PaulusPhD Student with IMPRS-IS @ MPI-IS Tübingen在 tuebingen.mpg.de 的電子郵件地址已通過驗證
Andrew Gordon WilsonNew York University在 cims.nyu.edu 的電子郵件地址已通過驗證
Carles Domingo-EnrichMicrosoft Research在 nyu.edu 的電子郵件地址已通過驗證
Rob FergusResearch Scientist, DeepMind. Professor of Computer Science, New York University在 cs.nyu.edu 的電子郵件地址已通過驗證
Joelle PineauSchool of Computer Science, McGill University; FAIR, Meta AI; Mila在 cs.mcgill.ca 的電子郵件地址已通過驗證
Ilya KostrikovOpenAI在 openai.com 的電子郵件地址已通過驗證

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Brandon Amos

Meta

在 fb.com 的電子郵件地址已通過驗證 - 首頁

machine learning optimization deep learning


標題按引用次數排序按年份排序按標題排序	引用次數引用次數	年份
Openface: A general-purpose face recognition library with mobile applications B Amos, B Ludwiczuk, M Satyanarayanan CMU, 2016	1447	2016
OptNet: Differentiable optimization as a layer in neural networks B Amos, JZ Kolter ICML, 2017	1148	2017
Input convex neural networks B Amos, L Xu, JZ Kolter ICML, 2017	758	2017
Differentiable convex optimization layers A Agrawal, B Amos, S Barratt, S Boyd, S Diamond, JZ Kolter NeurIPS, 2019	744	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	558	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	475	2021
Differentiable MPC for end-to-end planning and control B Amos, I Jimenez, J Sacks, B Boots, JZ Kolter NeurIPS, 2018	461	2018
Task-based end-to-end model learning in stochastic optimization P Donti, B Amos, JZ Kolter NeurIPS, 2017	417	2017
Applying machine learning classifiers to dynamic android malware detection at scale B Amos, H Turner, J White IWCMC, 2013	265	2013
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	264	2017
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	222	2016
Generalized inner loop meta-learning E Grefenstette, B Amos, D Yarats, PM Htut, A Molchanov, F Meier, D Kiela, ... arXiv, 2019	180	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	168	2017
Adaptive VM handoff across cloudlets K Ha, Y Abe, Z Chen, W Hu, B Amos, P Pillai, M Satyanarayanan CMU, 2015	165	2015
Learning Neural Event Functions for Ordinary Differential Equations RTQ Chen, B Amos, M Nickel ICLR, 2021	142	2021
Privacy mediators: Helping iot cross the chasm N Davies, N Taft, M Satyanarayanan, S Clinch, B Amos HotMobile, 2016	133	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	125	2017
Neural Spatio-Temporal Point Processes RTQ Chen, B Amos, M Nickel ICLR, 2021	114	2021
Tutorial on amortized optimization B Amos Foundations and Trends in Machine Learning, 2023	112*	2023
Objective Mismatch in Model-based Reinforcement Learning N Lambert, B Amos, O Yadan, R Calandra L4DC, 2020	110	2020

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