Titash Rakshit

Publication Activity (10 Years)

Years Active: 2017-2020
Publications (10 Years): 8

Top Topics

Inference Engine

Reinforcement Learning

Backward Chaining

Top Venues

IEEE J. Emerg. Sel. Topics Circuits Syst.

Publications

Aqeel Anwar, Arijit Raychowdhury, Ryan Hatcher, Titash Rakshit
XBAROPT - Enabling Ultra-Pipelined, Novel STT MRAM Based Processing-in-Memory DNN Accelerator. AICAS (2020)
Yandong Luo, Xiaochen Peng, Ryan Hatcher, Titash Rakshit, Jorge Kittl, Mark S. Rodder, Jae-Sun Seo, Shimeng Yu
A Variation Robust Inference Engine Based on STT-MRAM with Parallel Read-Out. ISCAS (2020)
Insik Yoon, Malik Aqeel Anwar, Titash Rakshit, Arijit Raychowdhury
Transfer and Online Reinforcement Learning in STT-MRAM Based Embedded Systems for Autonomous Drones. CoRR (2019)
Xiaochen Peng, Minkyu Kim, Xiaoyu Sun, Shihui Yin, Titash Rakshit, Ryan M. Hatcher, Jorge A. Kittl, Jae-sun Seo, Shimeng Yu
Inference engine benchmarking across technological platforms from CMOS to RRAM. MEMSYS (2019)
Insik Yoon, Malik Aqeel Anwar, Rajiv V. Joshi, Titash Rakshit, Arijit Raychowdhury
Hierarchical Memory System With STT-MRAM and SRAM to Support Transfer and Real-Time Reinforcement Learning in Autonomous Drones. IEEE J. Emerg. Sel. Topics Circuits Syst. 9 (3) (2019)
Insik Yoon, Malik Aqeel Anwar, Titash Rakshit, Arijit Raychowdhury
Transfer and Online Reinforcement Learning in STT-MRAM Based Embedded Systems for Autonomous Drones. DATE (2019)
Borna Obradovic, Titash Rakshit, Ryan Hatcher, Jorge Kittl, Mark S. Rodder
High-Accuracy Inference in Neuromorphic Circuits using Hardware-Aware Training. CoRR (2018)
Borna Obradovic, Titash Rakshit, Ryan Hatcher, Jorge Kittl, Rwik Sengupta, Joon Goo Hong, Mark S. Rodder
A Multi-Bit Neuromorphic Weight Cell using Ferroelectric FETs, suitable for SoC Integration. CoRR (2017)