Shamma Nasrin

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 13

Top Topics

Function Approximators

Data Conversion

Top Venues

IEEE Trans. Circuits Syst. I Regul. Pap.

Publications

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) (2023)
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 (2023)
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)
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 (2022)
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 (2021)
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 (2021)
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) (2021)
Shamma Nasrin, Priyesh Shukla, Shruthi Jaisimha, Amit Ranjan Trivedi
Compute-in-Memory Upside Down: A Learning Operator Co-Design Perspective for Scalability. DATE (2021)
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 (2021)
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)
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)
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 (2019)
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)