| Openface: A general-purpose face recognition library with mobile applications B Amos, B Ludwiczuk, M Satyanarayanan CMU, 2016 | 1557 | 2016 |
| OptNet: Differentiable optimization as a layer in neural networks B Amos, JZ Kolter ICML, 2017 | 1473 | 2017 |
| Input convex neural networks B Amos, L Xu, JZ Kolter ICML, 2017 | 1023 | 2017 |
| Differentiable convex optimization layers A Agrawal*, B Amos*, S Barratt*, S Boyd*, S Diamond*, JZ Kolter* NeurIPS, 2019 | 1003 | 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 | 588 | 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 | 585 | 2021 |
| Differentiable MPC for end-to-end planning and control B Amos, I Jimenez, J Sacks, B Boots, JZ Kolter NeurIPS, 2018 | 582 | 2018 |
| Task-based end-to-end model learning in stochastic optimization P Donti, B Amos, JZ Kolter NeurIPS, 2017 | 567 | 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 | 283 | 2017 |
| Applying machine learning classifiers to dynamic android malware detection at scale B Amos, H Turner, J White IWCMC, 2013 | 273 | 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 | 228 | 2016 |
| Multisample Flow Matching: Straightening Flows with Minibatch Couplings AA Pooladian, H Ben-Hamu, C Domingo-Enrich, B Amos, Y Lipman, ... ICML, 2023 | 227 | 2023 |
| Generalized inner loop meta-learning E Grefenstette, B Amos, D Yarats, PM Htut, A Molchanov, F Meier, D Kiela, ... arXiv, 2019 | 202 | 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 | 183 | 2017 |
| Learning Neural Event Functions for Ordinary Differential Equations RTQ Chen, B Amos, M Nickel ICLR, 2021 | 170 | 2021 |
| Adaptive VM handoff across cloudlets K Ha, Y Abe, Z Chen, W Hu, B Amos, P Pillai, M Satyanarayanan CMU, 2015 | 170 | 2015 |
| AdvPrompter: Fast Adaptive Adversarial Prompting for LLMs A Paulus, A Zharmagambetov, C Guo, B Amos, Y Tian ICML, 2025 | 167 | 2025 |
| Neural Spatio-Temporal Point Processes RTQ Chen, B Amos, M Nickel ICLR, 2021 | 151 | 2021 |
| Objective Mismatch in Model-based Reinforcement Learning N Lambert, B Amos, O Yadan, R Calandra L4DC, 2020 | 135 | 2020 |
| Privacy mediators: Helping IoT cross the chasm N Davies, N Taft, M Satyanarayanan, S Clinch, B Amos HotMobile, 2016 | 135 | 2016 |
Mahadev SatyanarayananJaime Carbonell University Professor of Computer Science, Carnegie Mellon UniversityVerified email at cs.cmu.edu
