Sourjya Roy

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 14

Top Topics

Machine Learning

Learner Centred

Top Venues

IEEE Trans. Very Large Scale Integr. Syst.

IEEE J. Emerg. Sel. Topics Circuits Syst.

Publications

Sourjya Roy, Cheng Wang, Anand Raghunathan
Evaluation of STT-MRAM as a Scratchpad for Training in ML Accelerators. CoRR (2023)
Mustafa Fayez Ali, Sourjya Roy, Utkarsh Saxena, Tanvi Sharma, Anand Raghunathan, Kaushik Roy
Compute-in-Memory Technologies and Architectures for Deep Learning Workloads. IEEE Trans. Very Large Scale Integr. Syst. 30 (11) (2022)
Sourjya Roy, Shrihari Sridharan, Shubham Jain, Anand Raghunathan
TxSim: Modeling Training of Deep Neural Networks on Resistive Crossbar Systems. IEEE Trans. Very Large Scale Integr. Syst. 29 (4) (2021)
Indranil Chakraborty, Sourjya Roy, Shrihari Sridharan, Mustafa Fayez Ali, Aayush Ankit, Shubham Jain, Anand Raghunathan
Design Tools for Resistive Crossbar based Machine Learning Accelerators. AICAS (2021)
Sourjya Roy, Mustafa Fayez Ali, Anand Raghunathan
PIM-DRAM: Accelerating Machine Learning Workloads Using Processing in Commodity DRAM. IEEE J. Emerg. Sel. Topics Circuits Syst. 11 (4) (2021)
Sourjya Roy, Mustafa Fayez Ali, Anand Raghunathan
PIM-DRAM: Accelerating Machine Learning Workloads using Processing in Commodity DRAM. CoRR (2021)
Sourjya Roy, Shrihari Sridharan, Shubham Jain, Anand Raghunathan
TxSim: Modeling Training of Deep Neural Networks on Resistive Crossbar Systems. CoRR (2020)
Sourjya Roy, Priyadarshini Panda, Gopalakrishnan Srinivasan, Anand Raghunathan
Pruning Filters while Training for Efficiently Optimizing Deep Learning Networks. CoRR (2020)
Sai Aparna Aketi, Sourjya Roy, Anand Raghunathan, Kaushik Roy
Gradual Channel Pruning while Training using Feature Relevance Scores for Convolutional Neural Networks. CoRR (2020)
Indranil Chakraborty, Mustafa Fayez Ali, Aayush Ankit, Shubham Jain, Sourjya Roy, Shrihari Sridharan, Amogh Agrawal, Anand Raghunathan, Kaushik Roy
Resistive Crossbars as Approximate Hardware Building Blocks for Machine Learning: Opportunities and Challenges. Proc. IEEE 108 (12) (2020)
Sai Aparna Aketi, Sourjya Roy, Anand Raghunathan, Kaushik Roy
Gradual Channel Pruning While Training Using Feature Relevance Scores for Convolutional Neural Networks. IEEE Access 8 (2020)
Sourjya Roy, Priyadarshini Panda, Gopalakrishnan Srinivasan, Anand Raghunathan
Pruning Filters while Training for Efficiently Optimizing Deep Learning Networks. IJCNN (2020)
Gopalakrishnan Srinivasan, Sourjya Roy, Vijay Raghunathan, Kaushik Roy
Spike timing dependent plasticity based enhanced self-learning for efficient pattern recognition in spiking neural networks. IJCNN (2017)
Akhilesh Jaiswal, Sourjya Roy, Gopalakrishnan Srinivasan, Kaushik Roy
Proposal for a Leaky-Integrate-Fire Spiking Neuron based on Magneto-Electric Switching of Ferro-magnets. CoRR (2016)