Brandon Amos

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Mahadev SatyanarayananJaime Carbonell University Professor of Computer Science, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Zico KolterCarnegie Mellon UniversityVerified email at cs.cmu.edu
Denis YaratsCofounder and CTO, Perplexity AIVerified email at perplexity.ai
Ricky Tian Qi ChenFundamental AI Research, MetaVerified email at meta.com
Maximilian NickelResearch Scientist at FAIR, Meta AIVerified email at meta.com
Samuel CohenUniversity College LondonVerified email at ucl.ac.uk
Ivan Dario Jimenez RodriguezCalifornia Institute of TechnologyVerified email at caltech.edu
Stephen BoydProfessor of Electrical Engineering, Computer Science, and Management Science, StanfordVerified email at stanford.edu
Shane BarrattPhD Student, Stanford UniversityVerified email at stanford.edu
Akshay AgrawalPhD, Stanford UniversityVerified email at cs.stanford.edu
Steven DiamondGridmaticVerified email at cs.stanford.edu
Lei XuAmazon AWS AIVerified email at amazon.com
Nathan LambertResearch Scientist, Allen AIVerified email at allenai.org
Byron BootsAssociate Professor, University of WashingtonVerified email at cs.washington.edu
Rob FergusResearch Scientist, DeepMind. Professor of Computer Science, New York UniversityVerified email at cs.nyu.edu
Joelle PineauSchool of Computer Science, McGill University; FAIR, Meta AI; MilaVerified email at cs.mcgill.ca
Ilya KostrikovOpenAIVerified email at openai.com
Edward GrefenstetteDirector of Research, Google DeepMind | Honorary Professor, UCLVerified email at google.com
Kyunghyun ChoNew York University, GenentechVerified email at nyu.edu
Franziska MeierResearch Scientist, Facebook AI ResearchVerified email at fb.com

Brandon Amos

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machine learning optimization deep learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Openface: A general-purpose face recognition library with mobile applications B Amos, B Ludwiczuk, M Satyanarayanan CMU, 2016	1289	2016
OptNet: Differentiable optimization as a layer in neural networks B Amos, JZ Kolter ICML, 2017	849	2017
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	523	2015
Differentiable convex optimization layers A Agrawal, B Amos, S Barratt, S Boyd, S Diamond, JZ Kolter NeurIPS, 2019	516	2019
Input convex neural networks B Amos, L Xu, JZ Kolter ICML, 2017	496	2017
Differentiable MPC for end-to-end planning and control B Amos, I Jimenez, J Sacks, B Boots, JZ Kolter NeurIPS, 2018	337	2018
Improving sample efficiency in model-free reinforcement learning from images D Yarats, A Zhang, I Kostrikov, B Amos, J Pineau, R Fergus AAAI, 2021	326	2021
Task-based end-to-end model learning in stochastic optimization P Donti, B Amos, JZ Kolter NeurIPS, 2017	307	2017
Applying machine learning classifiers to dynamic android malware detection at scale B Amos, H Turner, J White IWCMC, 2013	250	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	236	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	194	2016
Adaptive VM handoff across cloudlets K Ha, Y Abe, Z Chen, W Hu, B Amos, P Pillai, M Satyanarayanan CMU, 2015	156	2015
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	146	2017
Generalized inner loop meta-learning E Grefenstette, B Amos, D Yarats, PM Htut, A Molchanov, F Meier, D Kiela, ... arXiv, 2019	141	2019
Privacy mediators: Helping iot cross the chasm N Davies, N Taft, M Satyanarayanan, S Clinch, B Amos HotMobile, 2016	124	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	114	2017
Learning Neural Event Functions for Ordinary Differential Equations RTQ Chen, B Amos, M Nickel ICLR, 2021	99	2021
Bad parts: Are our manufacturing systems at risk of silent cyberattacks? H Turner, J White, JA Camelio, C Williams, B Amos, R Parker IEEE Security & Privacy, 2015	82	2015
Depth-limited solving for imperfect-information games N Brown, T Sandholm, B Amos NeurIPS, 2018	81	2018
Objective Mismatch in Model-based Reinforcement Learning N Lambert, B Amos, O Yadan, R Calandra L4DC, 2020	79	2020

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