Neural network-based accelerators for transcendental function approximation. - Schuyler Eldridge; Florian Raudies; David Zou; Ajay Joshi (ACM Great Lakes Symposium on VLSI, 2014)

Learning to navigate in a virtual world using optic flow and stereo disparity signals. - Florian Raudies; Schuyler Eldridge; Ajay Joshi; Massimiliano Versace (Artif. Life Robotics, 2014)

Towards General-Purpose Neural Network Computing. - Schuyler Eldridge; Amos Waterland; Margo I. Seltzer; Jonathan Appavoo; Ajay Joshi (PACT, 2015)

Neural network computing using on-chip accelerators - Schuyler Eldridge (2016)

Very Low Voltage (VLV) Design. - Ramon Bertran; Pradip Bose; David M. Brooks; Jeff Burns; Alper Buyuktosunoglu; Nandhini Chandramoorthy; Eric Cheng; Martin Cochet; Schuyler Eldridge; Daniel Friedman; Hans M. Jacobson; Rajiv V. Joshi; et al. (ICCD, 2017)

Dyhard-DNN: even more DNN acceleration with dynamic hardware reconfiguration. - Mateja Putic; Swagath Venkataramani; Schuyler Eldridge; Alper Buyuktosunoglu; Pradip Bose; Mircea Stan (DAC, 2018)

Nile: A Programmable Monitoring Coprocessor. - Leila Delshadtehrani; Schuyler Eldridge; Sadullah Canakci; Manuel Egele; Ajay Joshi (IEEE Comput. Archit. Lett., 2018)

Resilient Low Voltage Accelerators for High Energy Efficiency. - Nandhini Chandramoorthy; Karthik Swaminathan; Martin Cochet; Arun Paidimarri; Schuyler Eldridge; Rajiv V. Joshi; Matthew M. Ziegler; Alper Buyuktosunoglu; Pradip Bose (HPCA, 2019)

PHMon: A Programmable Hardware Monitor and Its Security Use Cases. - Leila Delshadtehrani; Sadullah Canakci; Boyou Zhou; Schuyler Eldridge; Ajay Joshi; Manuel Egele (USENIX Security Symposium, 2020)