Παρακολούθηση
Sreetama Sarkar
Sreetama Sarkar
University of Southern California
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα usc.edu
Τίτλος
Παρατίθεται από
Παρατίθεται από
Έτος
Implementation of relay hopper model for reliable communication of IoT devices in LTE environment through D2D link
A Pradhan, S Basu, S Sarkar, S Mitra, SD Roy
2018 10th International Conference on Communication Systems & Networks …, 2018
142018
Adversarial Robust Model Compression Using In-Train Pruning
MR Vemparala, N Fasfous, A Frickenstein, S Sarkar, Q Zhao, S Kuhn, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
112021
Criticality Aware Soft Error Mitigation in the Configuration Memory of SRAM based FPGA
S Mandal, S Sarkar, WM Ming, A Chattopadhyay, A Chakrabarti
2019 32nd International Conference on VLSI Design and 2019 18th …, 2019
112019
Accelerating and pruning CNNs for semantic segmentation on FPGA
P Morì, MR Vemparala, N Fasfous, S Mitra, S Sarkar, A Frickenstein, ...
Proceedings of the 59th ACM/IEEE Design Automation Conference, 145-150, 2022
62022
Performance of different power control schemes for a hybrid LTE system with channel impairment
S Sarkar, S Mitra, T Nath, SD Roy
2017 International Electrical Engineering Congress (iEECON), 1-4, 2017
32017
Voltage Scaling for Partitioned Systolic Array in A Reconfigurable Platform
R Paul, S Sarkar, S Sau, K Chakraborty, S Roy, A Chakrabarti
arXiv preprint arXiv:2102.06888, 2021
22021
Technology-Circuit-Algorithm Tri-Design for Processing-in-Pixel-in-Memory (P2M)
MAA Kaiser, G Datta, S Sarkar, S Kundu, Z Yin, M Garg, AP Jacob, ...
arXiv preprint arXiv:2304.02968, 2023
12023
Accelerating and Pruning CNNs for Semantic Segmentation on FPGA
MR Vemparala, N Fasfous, P Mori, S Mitra, S Sarkar, A Frickenstein, ...
IEEE Press, 2022
12022
Linearizing Models for Efficient yet Robust Private Inference
S Sarkar, S Kundu, PA Beerel
arXiv preprint arXiv:2402.05521, 2024
2024
FixPix: Fixing Bad Pixels using Deep Learning
S Sarkar, X Ye, G Datta, PA Beerel
arXiv preprint arXiv:2310.11637, 2023
2023
Towards Power Efficient DNN Accelerator Design on Reconfigurable Platform
R Paul, S Sarkar, S Sau, K Chakraborty, S Roy, A Chakrabarti
arXiv preprint arXiv:2102.06888, 2021
2021
Supplementary Material Adversarial Robust Model Compression using In-Train Pruning
MR Vemparala, N Fasfous, A Frickenstein, S Sarkar, Q Zhao, S Kuhn, ...
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