Nastaran Darabi

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 15

Top Topics

Davis Putnam Logemann Loveland

Regression Algorithm

Top Venues

IEEE Trans. Circuits Syst. I Regul. Pap.

Publications

Domenico Parente, Nastaran Darabi, Alex C. Stutts, Theja Tulabandhula, Amit Ranjan Trivedi
Conformalized Multimodal Uncertainty Regression and Reasoning. ICASSP (2024)
Nastaran Darabi, Priyesh Shukla, Dinithi Jayasuriya, Divake Kumar, Alex C. Stutts, Amit Ranjan Trivedi
Navigating the Unknown: Uncertainty-Aware Compute-in-Memory Autonomy of Edge Robotics. CoRR (2024)
Nastaran Darabi, Maeesha Binte Hashem, Hongyi Pan, Ahmet Enis Çetin, Wilfred Gomes, Amit Ranjan Trivedi
ADC/DAC-Free Analog Acceleration of Deep Neural Networks With Frequency Transformation. IEEE Trans. Very Large Scale Integr. Syst. 32 (6) (2024)
Nastaran Darabi, Priyesh Shukla, Dinithi Jayasuriya, Divake Kumar, Alex C. Stutts, Amit Ranjan Trivedi
Navigating the Unknown: Uncertainty-Aware Compute-in-Memory Autonomy of Edge Robotics. DATE (2024)
Nastaran Darabi, Maeesha Binte Hashem, Supriyo Bandyopadhyay, Amit Ranjan Trivedi
Exploiting Programmable Dipole Interaction in Straintronic Nanomagnet Chains for Ising Problems. ISQED (2023)
Nastaran Darabi, Sina Tayebati, Sureshkumar S., Sathya Ravi, Theja Tulabandhula, Amit Ranjan Trivedi
STARNet: Sensor Trustworthiness and Anomaly Recognition via Approximated Likelihood Regret for Robust Edge Autonomy. CoRR (2023)
Nastaran Darabi, Amit Ranjan Trivedi
Containing Analog Data Deluge at Edge through Frequency-Domain Compression in Collaborative Compute-in-Memory Networks. CoRR (2023)
Nastaran Darabi, Maeesha Binte Hashem, Hongyi Pan, Ahmet Cetin, Wilfred Gomes, Amit Ranjan Trivedi
ADC/DAC-Free Analog Acceleration of Deep Neural Networks with Frequency Transformation. CoRR (2023)
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)
Domenico Parente, Nastaran Darabi, Alex C. Stutts, Theja Tulabandhula, Amit Ranjan Trivedi
Conformalized Multimodal Uncertainty Regression and Reasoning. 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)
Maeesha Binte Hashem, Nastaran Darabi, Supriyo Bandyopadhyay, Amit Ranjan Trivedi
Solving Boolean Satisfiability with Stochastic Nanomagnets. ICECS 2022 (2022)
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)
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)