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Farsad, Nariman
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1

MICAL: Mutual Information-Based CNN-Aided Learned Factor Gr..:

Salafian, Bahareh ; Ben-Knaan, Eyal Fishel ; Shlezinger, Nir..
IEEE Access.  11 (2023)  - p. 23085-23096 , 2023
Link: https://doi.org/10.1109/..
 
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2

Benchmarking Neural Capacity Estimation: Viability and Reli..:

Mirkarimi, Farhad ; Rini, Stefano ; Farsad, Nariman
IEEE Transactions on Communications.  71 (2023)  5 - p. 2654-2669 , 2023
Link: https://doi.org/10.1109/..
 
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3

Personalized Sleep State Classification via Learned Factor ..:

, In: 2022 30th European Signal Processing Conference (EUSIPCO),
Rubinstein, Bar ; Filin, Yoav ; Shlezinger, Nir. - p. 1427-1431 , 2022
Link: https://doi.org/10.23919..
 
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4

Learned Factor Graphs for Inference From Stationary Time Se..:

Shlezinger, Nir ; Farsad, Nariman ; Eldar, Yonina C..
IEEE Transactions on Signal Processing.  70 (2022)  - p. 366-380 , 2022
Link: https://doi.org/10.1109/..
 
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5

CNN-Aided Factor Graphs with Estimated Mutual Information F..:

, In: ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),
Salafian, Bahareh ; Ben-Knaan, Eyal Fishel ; Shlezinger, Nir.. - p. 8677-8681 , 2022
Link: https://doi.org/10.1109/..
 
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6

Guest editorial for signal processing aspects of molecular ..:

Atakan, Barış ; Galmés, Sebastià ; Haselmayr, Werner..
Digital Signal Processing.  124 (2022)  - p. 103544 , 2022
Link: https://doi.org/10.1016/..
 
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7

Neural Capacity Estimators: How Reliable Are They?:

, In: ICC 2022 - IEEE International Conference on Communications,
Mirkarimi, Farhad ; Rini, Stefano ; Farsad, Nariman - p. 3868-3873 , 2022
Link: https://doi.org/10.1109/..
 
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8

Deep Unfolding for Iterative Stripe Noise Removal:

, In: 2022 International Joint Conference on Neural Networks (IJCNN),
Fayyaz, Zeshan ; Platnick, Daniel ; Fayyaz, Hannan. - p. 1-7 , 2022
Link: https://doi.org/10.1109/..
 
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9

Data-Driven Symbol Detection Via Model-Based Machine Learni..:

, In: 2021 IEEE Statistical Signal Processing Workshop (SSP),
Farsad, Nariman ; Shlezinger, Nir ; Goldsmith, Andrea J.. - p. 571-575 , 2021
Link: https://doi.org/10.1109/..
 
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10

Data-Driven Factor Graphs for Deep Symbol Detection:

, In: 2020 IEEE International Symposium on Information Theory (ISIT),
Shlezinger, Nir ; Farsad, Nariman ; Eldar, Yonina C.. - p. 2682-2687 , 2020
Link: https://doi.org/10.1109/..
 
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11

An Experimentally Validated Channel Model for Molecular Com..:

Kim, Na-Rae ; Farsad, Nariman ; Lee, Changmin..
IEEE Access.  7 (2019)  - p. 81849-81858 , 2019
Link: https://doi.org/10.1109/..
 
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12

Deep Neural Network Symbol Detection for Millimeter Wave Co..:

, In: 2019 IEEE Global Communications Conference (GLOBECOM),
Liao, Yun ; Farsad, Nariman ; Shlezinger, Nir.. - p. 1-6 , 2019
Link: https://doi.org/10.1109/..
 
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13

Two way molecular communications:

, In: Proceedings of the 5th ACM International Conference on Nanoscale Computing and Communication,
Kwack, Jong Woo ; Yilmaz, H. Birkan. ; Farsad, Nariman.. - p. 1-5 , 2018
Link: https://dl.acm.org/doi/1..
 
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14

Molecular Communication : Interconnecting Tiny NanoBio D..:

Farsad, Nariman
GetMobile: Mobile Computing and Communications.  22 (2018)  2 - p. 5-10 , 2018
Link: https://dl.acm.org/doi/1..
 
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15

Molecular Communication: Interconnecting Tiny NanoBio Devic..:

Farsad, Nariman
GetMobile: Mobile Computing and Communications.  22 (2018)  2 - p. 5-10 , 2018
Link: https://doi.org/10.1145/..
 
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