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ORCIDShamma Nasrin
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2020 – today
- 2023
[j3]Priyesh Shukla
, Shamma Nasrin, Nastaran Darabi, Wilfred Gomes, Amit Ranjan Trivedi:
MC-CIM: Compute-in-Memory With Monte-Carlo Dropouts for Bayesian Edge Intelligence. IEEE Trans. Circuits Syst. I Regul. Pap. 70(2): 884-896 (2023)- [c5]Shamma Nasrin, Maeesha Binte Hashem, Nastaran Darabi, Benjamin Parpillon, Farah Fahim, Wilfred Gomes, Amit Ranjan Trivedi:
Memory-Immersed Collaborative Digitization for Area-Efficient Compute-in-Memory Deep Learning. AICAS 2023: 1-5 - [i5]Shamma Nasrin, Maeesha Binte Hashem, Nastaran Darabi, Benjamin Parpillon, Farah Fahim, Wilfred Gomes, Amit Ranjan Trivedi:
Memory-Immersed Collaborative Digitization for Area-Efficient Compute-in-Memory Deep Learning. CoRR abs/2307.03863 (2023) - 2022
- [j2]Shamma Nasrin, Ahish Shylendra, Nastaran Darabi, Theja Tulabandhula, Wilfred Gomes, Ankush Chakrabarty, Amit Ranjan Trivedi:
ENOS: Energy-Aware Network Operator Search in Deep Neural Networks. IEEE Access 10: 81447-81457 (2022) - 2021
- [j1]Shamma Nasrin, Diaa Badawi, Ahmet Enis Çetin, Wilfred Gomes, Amit Ranjan Trivedi:
MF-Net: Compute-In-Memory SRAM for Multibit Precision Inference Using Memory-Immersed Data Conversion and Multiplication-Free Operators. IEEE Trans. Circuits Syst. I Regul. Pap. 68(5): 1966-1978 (2021) - [c4]Shamma Nasrin, Priyesh Shukla, Shruthi Jaisimha, Amit Ranjan Trivedi:
Compute-in-Memory Upside Down: A Learning Operator Co-Design Perspective for Scalability. DATE 2021: 890-895 - [i4]Shamma Nasrin, Diaa Badawi, Ahmet Enis Çetin, Wilfred Gomes, Amit Ranjan Trivedi:
MF-Net: Compute-In-Memory SRAM for Multibit Precision Inference using Memory-immersed Data Conversion and Multiplication-free Operators. CoRR abs/2102.00035 (2021) - [i3]Shamma Nasrin, Ahish Shylendra, Yuti Kadakia, Nick Iliev, Wilfred Gomes, Theja Tulabandhula, Amit Ranjan Trivedi:
ENOS: Energy-Aware Network Operator Search for Hybrid Digital and Compute-in-Memory DNN Accelerators. CoRR abs/2104.05217 (2021) - [i2]Priyesh Shukla, Shamma Nasrin, Nastaran Darabi, Wilfred Gomes, Amit Ranjan Trivedi:
MC-CIM: Compute-in-Memory with Monte-Carlo Dropouts for Bayesian Edge Intelligence. CoRR abs/2111.07125 (2021) - 2020
- [c3]Shamma Nasrin, Srikanth Ramakrishna, Theja Tulabandhula, Amit Ranjan Trivedi:
Supported-BinaryNet: Bitcell Array-Based Weight Supports for Dynamic Accuracy-Energy Trade-Offs in SRAM-Based Binarized Neural Network. ISCAS 2020: 1-5
2010 – 2019
- 2019
- [c2]Alberto Gianelli, Nick Iliev, Shamma Nasrin, Mariagrazia Graziano, Amit Ranjan Trivedi:
Low Power Speaker Identification using Look Up-free Gaussian Mixture Model in CMOS. COOL CHIPS 2019: 1-3 - [c1]Shamma Nasrin, Diaa Badawi, Ahmet Enis Çetin, Wilfred Gomes, Amit Ranjan Trivedi:
Towards Co-designing Neural Network Function Approximators with In-SRAM Computing. EMC2@NeurIPS 2019: 40-43 - [i1]Shamma Nasrin, Srikanth Ramakrishna, Theja Tulabandhula, Amit Ranjan Trivedi:
Supported-BinaryNet: Bitcell Array-based Weight Supports for Dynamic Accuracy-Latency Trade-offs in SRAM-based Binarized Neural Network. CoRR abs/1911.08518 (2019)
Coauthor Index
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