| Differentiable MPC for End-to-end Planning and Control B Amos, I Jimenez, J Sacks, B Boots, JZ Kolter | 337 | 2018 |
| “Cut‐and‐Paste” manufacture of multiparametric epidermal sensor systems S Yang, YC Chen, L Nicolini, P Pasupathy, J Sacks, B Su, R Yang, ... Advanced Materials 27 (41), 6423-6430, 2015 | 296 | 2015 |
| 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 | 80 | 2016 |
| An Online Learning Approach to Model Predictive Control N Wagener, CA Cheng, J Sacks, B Boots arXiv preprint arXiv:1902.08967, 2019 | 77 | 2019 |
| 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 | 62 | 2015 |
| 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 | 51 | 2018 |
| 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 | 32 | 2018 |
| 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 | 29 | 2018 |
| Learning to Optimize in Model Predictive Control J Sacks, B Boots 2022 International Conference on Robotics and Automation (ICRA), 10549-10556, 2022 | 7 | 2022 |
| Learning Sampling Distributions for Model Predictive Control J Sacks, B Boots 6th Annual Conference on Robot Learning, 2022 | 5 | 2022 |
| Deep Model Predictive Optimization J Sacks, R Rana, K Huang, A Spitzer, G Shi, B Boots arXiv preprint arXiv:2310.04590, 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 |
Byron BootsAssociate Professor, University of WashingtonPotvrđena adresa e-pošte na cs.washington.edu
