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Jacob Sacks
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Differentiable MPC for End-to-end Planning and Control
B Amos, I Jimenez, J Sacks, B Boots, JZ Kolter
4182018
Cut-and-paste” manufacture of multiparametric epidermal sensor systems
S Yang, YC Chen, L Nicolini, P Pasupathy, J Sacks, B Su, R Yang, ...
Adv. Mater 27 (41), 6423-6430, 2015
3232015
The virtual trackpad: An electromyography-based, wireless, real-time, low-power, embedded hand-gesture-recognition system using an event-driven artificial neural network
X Liu, J Sacks, M Zhang, AG Richardson, TH Lucas, J Van der Spiegel
IEEE Transactions on Circuits and Systems II: Express Briefs 64 (11), 1257-1261, 2016
922016
An Online Learning Approach to Model Predictive Control
N Wagener, CA Cheng, J Sacks, B Boots
arXiv preprint arXiv:1902.08967, 2019
852019
On the presence of affine fibril and fiber kinematics in the mitral valve anterior leaflet
CH Lee, W Zhang, J Liao, CA Carruthers, JI Sacks, MS Sacks
Biophysical journal 108 (8), 2074-2087, 2015
672015
In-RDBMS hardware acceleration of advanced analytics
D Mahajan, JK Kim, J Sacks, A Ardalan, A Kumar, H Esmaeilzadeh
arXiv preprint arXiv:1801.06027, 2018
602018
RoboX: An End-to-End Solution to Accelerate Autonomous Control in Robotics
J Sacks, D Mahajan, RC Lawson, B Khaleghi, H Esmaeilzadeh
Proceedings of the 45th International Symposium on Computer Architecture, 2018
392018
In-dram near-data approximate acceleration for gpus
A Yazdanbakhsh, C Song, J Sacks, P Lotfi-Kamran, H Esmaeilzadeh, ...
Proceedings of the 27th International Conference on Parallel Architectures …, 2018
382018
Learning Sampling Distributions for Model Predictive Control
J Sacks, B Boots
6th Annual Conference on Robot Learning, 2022
172022
Learning to Optimize in Model Predictive Control
J Sacks, B Boots
2022 International Conference on Robotics and Automation (ICRA), 10549-10556, 2022
152022
Deep Model Predictive Optimization
J Sacks, R Rana, K Huang, A Spitzer, G Shi, B Boots
2024 IEEE International Conference on Robotics and Automation (ICRA), 16945 …, 2024
32024
Learning Novel Strategies for Model Predictive Control by Leveraging Experience
JI Sacks
University of Washington, 2023
2023
Machine Learning Methods for Estimating Down-hole Depth of Cut
J Sacks, K Choi, K Bruss, JC Su, S Buerger, A Mazumdar, B Boots
Sandia National Lab (SNL-NM), Albuquerque, NM (United States), 2021
2021
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