Sourjya Roy - RankMe

17 papers B 2Journal 14Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Softprox: A Post-Finetuning Methodology to Mitigate Softmax Bottlenecks in Transformer Workloads. IEEE Trans. Circuits Syst. Artif. Intell. Aradhana Mohan Parvathy, Sourjya Roy, Soumendu Kumar Ghosh, Arnab Raha, Deepak Mathaikutty, Anand Raghunathan
2025	J	`jnl`	Experts are all you need: A Composable Framework for Large Language Model Inference. CoRR Shrihari Sridharan, Sourjya Roy, Anand Raghunathan, Kaushik Roy
2025	J	`jnl`	KV-CAR: KV Cache Compression using Autoencoders and KV Reuse in Large Language Models. CoRR Sourjya Roy, Shrihari Sridharan, Surya Selvam, Anand Raghunathan
2023	J	`jnl`	Evaluation of STT-MRAM as a Scratchpad for Training in ML Accelerators. CoRR Sourjya Roy, Cheng Wang, Anand Raghunathan
2022	J	`jnl`	Compute-in-Memory Technologies and Architectures for Deep Learning Workloads. IEEE Trans. Very Large Scale Integr. Syst. Mustafa Fayez Ali, Sourjya Roy, Utkarsh Saxena, Tanvi Sharma, Anand Raghunathan, Kaushik Roy
2021	—	`conf`	Design Tools for Resistive Crossbar based Machine Learning Accelerators. AICAS Indranil Chakraborty, Sourjya Roy, Shrihari Sridharan, Mustafa Fayez Ali, Aayush Ankit, Shubham Jain, Anand Raghunathan
2021	J	`jnl`	PIM-DRAM: Accelerating Machine Learning Workloads Using Processing in Commodity DRAM. IEEE J. Emerg. Sel. Topics Circuits Syst. Sourjya Roy, Mustafa Fayez Ali, Anand Raghunathan
2021	J	`jnl`	PIM-DRAM: Accelerating Machine Learning Workloads using Processing in Commodity DRAM. CoRR Sourjya Roy, Mustafa Fayez Ali, Anand Raghunathan
2021	J	`jnl`	TxSim: Modeling Training of Deep Neural Networks on Resistive Crossbar Systems. IEEE Trans. Very Large Scale Integr. Syst. Sourjya Roy, Shrihari Sridharan, Shubham Jain, Anand Raghunathan
2020	J	`jnl`	Gradual Channel Pruning While Training Using Feature Relevance Scores for Convolutional Neural Networks. IEEE Access Sai Aparna Aketi, Sourjya Roy, Anand Raghunathan, Kaushik Roy
2020	J	`jnl`	Gradual Channel Pruning while Training using Feature Relevance Scores for Convolutional Neural Networks. CoRR Sai Aparna Aketi, Sourjya Roy, Anand Raghunathan, Kaushik Roy
2020	B	`conf`	Pruning Filters while Training for Efficiently Optimizing Deep Learning Networks. IJCNN Sourjya Roy, Priyadarshini Panda, Gopalakrishnan Srinivasan, Anand Raghunathan
2020	J	`jnl`	Pruning Filters while Training for Efficiently Optimizing Deep Learning Networks. CoRR Sourjya Roy, Priyadarshini Panda, Gopalakrishnan Srinivasan, Anand Raghunathan
2020	J	`jnl`	Resistive Crossbars as Approximate Hardware Building Blocks for Machine Learning: Opportunities and Challenges. Proc. IEEE Indranil Chakraborty, Mustafa Fayez Ali, Aayush Ankit, Shubham Jain, Sourjya Roy, Shrihari Sridharan, Amogh Agrawal, Anand Raghunathan, Kaushik Roy
2020	J	`jnl`	TxSim: Modeling Training of Deep Neural Networks on Resistive Crossbar Systems. CoRR Sourjya Roy, Shrihari Sridharan, Shubham Jain, Anand Raghunathan
2017	B	`conf`	Spike timing dependent plasticity based enhanced self-learning for efficient pattern recognition in spiking neural networks. IJCNN Gopalakrishnan Srinivasan, Sourjya Roy, Vijay Raghunathan, Kaushik Roy
2016	J	`jnl`	Proposal for a Leaky-Integrate-Fire Spiking Neuron based on Magneto-Electric Switching of Ferro-magnets. CoRR Akhilesh Jaiswal, Sourjya Roy, Gopalakrishnan Srinivasan, Kaushik Roy