| Differentiable MPC for End-to-end Planning and Control B Amos, I Jimenez, J Sacks, B Boots, JZ Kolter | 467 | 2018 |
| 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 | 332 | 2015 |
| An Online Learning Approach to Model Predictive Control N Wagener, CA Cheng, J Sacks, B Boots arXiv preprint arXiv:1902.08967, 2019 | 97 | 2019 |
| 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 | 94 | 2016 |
| 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 | 71 | 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 | 60 | 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 | 40 | 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 | 39 | 2018 |
| Learning Sampling Distributions for Model Predictive Control J Sacks, B Boots 6th Annual Conference on Robot Learning, 2022 | 20 | 2022 |
| Learning to Optimize in Model Predictive Control J Sacks, B Boots 2022 International Conference on Robotics and Automation (ICRA), 10549-10556, 2022 | 18 | 2022 |
| 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 | 6 | 2024 |
| 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 | 1 | 2021 |
| Downhole Sensing and Event-Driven Sensor Fusion for Depth-of-Cut Based Autonomous Fault Response and Drilling Optimization B Boots, J Sacks, K Choi, K Greenhill, A Mazumdar, SP Buerger, JC Su Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2023 | | 2023 |
| Design and Experimental Validation of a Machine Learning Estimation System for Down-hole Drilling Performance J Sacks, KJ Bruss, KS Choi, S Buerger, B Boots, JC Su, A Mazumdar Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2023 | | 2023 |
| Learning Novel Strategies for Model Predictive Control by Leveraging Experience JI Sacks University of Washington, 2023 | | 2023 |
Byron BootsAssociate Professor, University of WashingtonVerified email at cs.washington.edu