The Virtual Trackpad: An Electromyography-Based, Wireless, Real-Time, Low-Power, Embedded Hand-Gesture-Recognition System Using an Event-Driven Artificial Neural Network. - Xilin Liu; Jacob Sacks; Milin Zhang 001; Andrew G. Richardson; Timothy H. Lucas; Jan Van der Spiegel (IEEE Trans. Circuits Syst. II Express Briefs, 2017)

In-DRAM near-data approximate acceleration for GPUs. - Amir Yazdanbakhsh; Choungki Song; Jacob Sacks; Pejman Lotfi-Kamran; Hadi Esmaeilzadeh; Nam Sung Kim (PACT, 2018)

RoboX: An End-to-End Solution to Accelerate Autonomous Control in Robotics. - Jacob Sacks; Divya Mahajan 001; Richard Connor Lawson; Hadi Esmaeilzadeh (ISCA, 2018)

Differentiable MPC for End-to-end Planning and Control. - Brandon Amos; Ivan Dario Jimenez Rodriguez; Jacob Sacks; Byron Boots; J. Zico Kolter (NeurIPS, 2018)

In-RDBMS Hardware Acceleration of Advanced Analytics. - Divya Mahajan 001; Joon Kyung Kim; Jacob Sacks; Adel Ardalan; Arun Kumar 001; Hadi Esmaeilzadeh (Proc. VLDB Endow., 2018)

An Online Learning Approach to Model Predictive Control. - Nolan Wagener; Ching-An Cheng; Jacob Sacks; Byron Boots (Robotics: Science and Systems, 2019)

Learning Sampling Distributions for Model Predictive Control. - Jacob Sacks; Byron Boots (CoRL, 2022)

Learning to Optimize in Model Predictive Control. - Jacob Sacks; Byron Boots (ICRA, 2022)

Deep Model Predictive Optimization. - Jacob Sacks; Rwik Rana; Kevin Huang; Alexander Spitzer; Guanya Shi; Byron Boots (ICRA, 2024)

Learning Novel Strategies for Model Predictive Control by Leveraging Experience - Jacob Sacks (2024)

Accurate identification of communication between multiple interacting neural populations. - Belle Liu; Jacob Sacks; Matthew D. Golub (CoRR, 2025)