A Multi-Bit Neuromorphic Weight Cell using Ferroelectric FETs, suitable for SoC Integration. - Borna Obradovic; Titash Rakshit; Ryan Hatcher; Jorge Kittl; Rwik Sengupta; Joon Goo Hong; Mark S. Rodder (CoRR, 2017)

High-Accuracy Inference in Neuromorphic Circuits using Hardware-Aware Training. - Borna Obradovic; Titash Rakshit; Ryan Hatcher; Jorge Kittl; Mark S. Rodder (CoRR, 2018)

Transfer and Online Reinforcement Learning in STT-MRAM Based Embedded Systems for Autonomous Drones. - Insik Yoon; Malik Aqeel Anwar; Titash Rakshit; Arijit Raychowdhury (DATE, 2019)

Inference engine benchmarking across technological platforms from CMOS to RRAM. - Xiaochen Peng; Minkyu Kim 001; Xiaoyu Sun 001; Shihui Yin; Titash Rakshit; Ryan M. Hatcher; Jorge A. Kittl; Jae-sun Seo; Shimeng Yu (MEMSYS, 2019)

Hierarchical Memory System With STT-MRAM and SRAM to Support Transfer and Real-Time Reinforcement Learning in Autonomous Drones. - Insik Yoon; Malik Aqeel Anwar; Rajiv V. Joshi; Titash Rakshit; Arijit Raychowdhury (IEEE J. Emerg. Sel. Topics Circuits Syst., 2019)

XBAROPT - Enabling Ultra-Pipelined, Novel STT MRAM Based Processing-in-Memory DNN Accelerator. - Aqeel Anwar; Arijit Raychowdhury; Ryan Hatcher; Titash Rakshit (AICAS, 2020)

A Variation Robust Inference Engine Based on STT-MRAM with Parallel Read-Out. - Yandong Luo; Xiaochen Peng; Ryan Hatcher; Titash Rakshit; Jorge Kittl; Mark S. Rodder; Jae-Sun Seo; Shimeng Yu (ISCAS, 2020)