Shamma Nasrin

16 papers A 1C 1Misc 3Journal 8Unranked 3
YearRankTypeTitle / Venue / Authors
2025 Misc conf
From Signals to Features to Insights: Multi-Level Novelty Detection for Fast Scientific Discovery.
VTS
Devashri Naik, Nastaran Darabi, Sina Tayebati, Dinithi Jayasuriya, Shamma Nasrin, Danush Shekar, Corrinne Mills, Benjamin Parpillon, Farah Fahim, Mark S. Neubauer, Amit Ranjan Trivedi
2025 Misc conf
MOSAIC: Collaborative Compute-in-Memory µArrays for Flexible and Scalable Deep Learning.
VTS
Amit Ranjan Trivedi, Shamma Nasrin, Priyesh Shukla, Nastaran Darabi, Divake Kumar, Dinithi Jayasuriya, Nethmi Jayasinghe
2025 Misc conf
Machine-learning based Blind Digital Calibration of Time-Interleaved ADC.
VTS
Sumukh Prashant Bhanushali, Shamma Nasrin, Debnath Maiti, Arindam Sanyal
2023 J jnl
MC-CIM: Compute-in-Memory With Monte-Carlo Dropouts for Bayesian Edge Intelligence.
IEEE Trans. Circuits Syst. I Regul. Pap.
Priyesh Shukla, Shamma Nasrin, Nastaran Darabi, Wilfred Gomes, Amit Ranjan Trivedi
2023 — conf
Memory-Immersed Collaborative Digitization for Area-Efficient Compute-in-Memory Deep Learning.
AICAS
Shamma Nasrin, Maeesha Binte Hashem, Nastaran Darabi, Benjamin Parpillon, Farah Fahim, Wilfred Gomes, Amit Ranjan Trivedi
2023 J jnl
Memory-Immersed Collaborative Digitization for Area-Efficient Compute-in-Memory Deep Learning.
CoRR
Shamma Nasrin, Maeesha Binte Hashem, Nastaran Darabi, Benjamin Parpillon, Farah Fahim, Wilfred Gomes, Amit Ranjan Trivedi
2022 J jnl
ENOS: Energy-Aware Network Operator Search in Deep Neural Networks.
IEEE Access
Shamma Nasrin, Ahish Shylendra, Nastaran Darabi, Theja Tulabandhula, Wilfred Gomes, Ankush Chakrabarty, Amit Ranjan Trivedi
2021 A conf
Compute-in-Memory Upside Down: A Learning Operator Co-Design Perspective for Scalability.
DATE
Shamma Nasrin, Priyesh Shukla, Shruthi Jaisimha, Amit Ranjan Trivedi
2021 J jnl
ENOS: Energy-Aware Network Operator Search for Hybrid Digital and Compute-in-Memory DNN Accelerators.
CoRR
Shamma Nasrin, Ahish Shylendra, Yuti Kadakia, Nick Iliev, Wilfred Gomes, Theja Tulabandhula, Amit Ranjan Trivedi
2021 J jnl
MC-CIM: Compute-in-Memory with Monte-Carlo Dropouts for Bayesian Edge Intelligence.
CoRR
Priyesh Shukla, Shamma Nasrin, Nastaran Darabi, Wilfred Gomes, Amit Ranjan Trivedi
2021 J jnl
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.
Shamma Nasrin, Diaa Badawi, Ahmet Enis Çetin, Wilfred Gomes, Amit Ranjan Trivedi
2021 J jnl
MF-Net: Compute-In-Memory SRAM for Multibit Precision Inference using Memory-immersed Data Conversion and Multiplication-free Operators.
CoRR
Shamma Nasrin, Diaa Badawi, Ahmet Enis Çetin, Wilfred Gomes, Amit Ranjan Trivedi
2020 C conf
Supported-BinaryNet: Bitcell Array-Based Weight Supports for Dynamic Accuracy-Energy Trade-Offs in SRAM-Based Binarized Neural Network.
ISCAS
Shamma Nasrin, Srikanth Ramakrishna, Theja Tulabandhula, Amit Ranjan Trivedi
2019 — conf
Low Power Speaker Identification using Look Up-free Gaussian Mixture Model in CMOS.
COOL CHIPS
Alberto Gianelli, Nick Iliev, Shamma Nasrin, Mariagrazia Graziano, Amit Ranjan Trivedi
2019 J jnl
Supported-BinaryNet: Bitcell Array-based Weight Supports for Dynamic Accuracy-Latency Trade-offs in SRAM-based Binarized Neural Network.
CoRR
Shamma Nasrin, Srikanth Ramakrishna, Theja Tulabandhula, Amit Ranjan Trivedi
2019 — conf
Towards Co-designing Neural Network Function Approximators with In-SRAM Computing.
EMC2@NeurIPS
Shamma Nasrin, Diaa Badawi, Ahmet Enis Çetin, Wilfred Gomes, Amit Ranjan Trivedi