Brandon Amos
Brandon Amos
Facebook AI Research (FAIR)
Bestätigte E-Mail-Adresse bei - Startseite
Zitiert von
Zitiert von
Openface: A general-purpose face recognition library with mobile applications
B Amos, B Ludwiczuk, M Satyanarayanan
CMU, 2016
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
OptNet: Differentiable optimization as a layer in neural networks
B Amos, JZ Kolter
ICML, 2017
Applying machine learning classifiers to dynamic android malware detection at scale
B Amos, H Turner, J White
IWCMC, 2013
Input convex neural networks
B Amos, L Xu, JZ Kolter
ICML, 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
Differentiable convex optimization layers
A Agrawal*, B Amos*, S Barratt*, S Boyd*, S Diamond*, JZ Kolter*
NeurIPS, 2019
Differentiable MPC for end-to-end planning and control
B Amos, I Jimenez, J Sacks, B Boots, JZ Kolter
NeurIPS, 2018
Task-based end-to-end model learning in stochastic optimization
P Donti, B Amos, JZ Kolter
NeurIPS, 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
Adaptive VM handoff across cloudlets
K Ha, Y Abe, Z Chen, W Hu, B Amos, P Pillai, M Satyanarayanan
CMU, 2015
Privacy mediators: Helping iot cross the chasm
N Davies, N Taft, M Satyanarayanan, S Clinch, B Amos
HotMobile, 2016
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
Improving sample efficiency in model-free reinforcement learning from images
D Yarats, A Zhang, I Kostrikov, B Amos, J Pineau, R Fergus
AAAI, 2021
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
Generalized inner loop meta-learning
E Grefenstette, B Amos, D Yarats, PM Htut, A Molchanov, F Meier, D Kiela, ...
arXiv, 2019
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
Early implementation experience with wearable cognitive assistance applications
Z Chen, L Jiang, W Hu, K Ha, B Amos, P Pillai, A Hauptmann, ...
WearSys, 2015
Collapsed variational inference for sum-product networks
H Zhao, T Adel, G Gordon, B Amos
ICML, 2016
Depth-limited solving for imperfect-information games
N Brown, T Sandholm, B Amos
NeurIPS, 2018
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