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Farhad Shirani

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PAC Learnability under Explanation-Preserving Graph Perturbations

Feb 07, 2024
Xu Zheng, Farhad Shirani, Tianchun Wang, Shouwei Gao, Wenqian Dong, Wei Cheng, Dongsheng Luo

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Non-Linear Analog Processing Gains in Task-Based Quantization

Feb 02, 2024
Marian Temprana Alonso, Farhad Shirani, Neil Irwin Bernardo, Yonina C. Eldar

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Factorized Explainer for Graph Neural Networks

Dec 09, 2023
Rundong Huang, Farhad Shirani, Dongsheng Luo

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Towards Robust Fidelity for Evaluating Explainability of Graph Neural Networks

Oct 03, 2023
Xu Zheng, Farhad Shirani, Tianchun Wang, Wei Cheng, Zhuomin Chen, Haifeng Chen, Hua Wei, Dongsheng Luo

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Capacity Gains in MIMO Systems with Few-Bit ADCs Using Nonlinear Analog Operators

Dec 12, 2022
Marian Temprana Alonso, Xuyang Liu, Farhad Shirani, Hamidreza Aghasi

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Optimal Distributed Fault-Tolerant Sensor Fusion: Fundamental Limits and Efficient Algorithms

Oct 09, 2022
Marian Temprana Alonso, Farhad Shirani, S. Sitharama Iyengar

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Quantifying the Capacity Gains in Coarsely Quantized SISO Systems with Nonlinear Analog Operators

Aug 08, 2022
Farhad Shirani, Hamidreza Aghasi

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Lattices from Linear Codes: Source and Channel Networks

Feb 23, 2022
Farhad Shirani, S. Sandeep Pradhan

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MIMO Systems with One-bit ADCs: Capacity Gains using Nonlinear Analog Operations

Feb 06, 2022
Farhad Shirani, Hamidreza Aghasi

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