Nastaran Darabi

Orcid: 0000-0003-2163-4267

According to our database1, Nastaran Darabi authored at least 21 papers between 2022 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
EigenShield: Causal Subspace Filtering via Random Matrix Theory for Adversarially Robust Vision-Language Models.
CoRR, February, 2025

Beyond Confidence: Adaptive Abstention in Dual-Threshold Conformal Prediction for Autonomous System Perception.
CoRR, February, 2025

Learning Conformal Abstention Policies for Adaptive Risk Management in Large Language and Vision-Language Models.
CoRR, February, 2025

INTACT: Inducing Noise Tolerance through Adversarial Curriculum Training for LiDAR-based Safety-Critical Perception and Autonomy.
CoRR, February, 2025

MOSAIC: Collaborative Compute-in-Memory µArrays for Flexible and Scalable Deep Learning.
Proceedings of the 43rd IEEE VLSI Test Symposium, 2025

From Signals to Features to Insights: Multi-Level Novelty Detection for Fast Scientific Discovery.
Proceedings of the 43rd IEEE VLSI Test Symposium, 2025

Neural Precision Polarization: Simplifying Neural Network Inference with Dual-Level Precision.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2025

Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges.
Proceedings of the Design, Automation & Test in Europe Conference, 2025

Uncertainty-Aware LiDAR-Camera Autonomy via Conformal Prediction and Principled Abstention.
Proceedings of the IEEE International Conference on Omni-layer Intelligent Systems, 2025

2024
ADC/DAC-Free Analog Acceleration of Deep Neural Networks With Frequency Transformation.
IEEE Trans. Very Large Scale Integr. Syst., June, 2024

Enhancing 3D Robotic Vision Robustness by Minimizing Adversarial Mutual Information through a Curriculum Training Approach.
CoRR, 2024

STARNet: Sensor Trustworthiness and Anomaly Recognition via Lightweight Likelihood Regret for Robust Edge Autonomy.
Proceedings of the International Joint Conference on Neural Networks, 2024

Conformalized Multimodal Uncertainty Regression and Reasoning.
Proceedings of the IEEE International Conference on Acoustics, 2024

Navigating the Unknown: Uncertainty-Aware Compute-in-Memory Autonomy of Edge Robotics.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024

2023
MC-CIM: Compute-in-Memory With Monte-Carlo Dropouts for Bayesian Edge Intelligence.
IEEE Trans. Circuits Syst. I Regul. Pap., February, 2023

Containing Analog Data Deluge at Edge through Frequency-Domain Compression in Collaborative Compute-in-Memory Networks.
CoRR, 2023

STARNet: Sensor Trustworthiness and Anomaly Recognition via Approximated Likelihood Regret for Robust Edge Autonomy.
CoRR, 2023

Exploiting Programmable Dipole Interaction in Straintronic Nanomagnet Chains for Ising Problems.
Proceedings of the 24th International Symposium on Quality Electronic Design, 2023

Memory-Immersed Collaborative Digitization for Area-Efficient Compute-in-Memory Deep Learning.
Proceedings of the 5th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2023

2022
ENOS: Energy-Aware Network Operator Search in Deep Neural Networks.
IEEE Access, 2022

Solving Boolean Satisfiability with Stochastic Nanomagnets.
Proceedings of the 29th IEEE International Conference on Electronics, Circuits and Systems, 2022


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