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Samer Saab 0002

Samer S. Saab 0002 – Samer Saab Jr. – Samer Said Saab Jr.

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affiliation: Pennsylvania State University, State College, PA, USA

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Journal Articles

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2022
[j6]
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  - journals/ml/SaabPZR22
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Samer Saab Jr., Shashi Phoha, Minghui Zhu, Asok Ray:
An adaptive polyak heavy-ball method. Mach. Learn. 111(9): 3245-3277 (2022)
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Samer Saab Jr., Khaled Kamal Saab, Shashi Phoha, Minghui Zhu, Asok Ray:
A multivariate adaptive gradient algorithm with reduced tuning efforts. Neural Networks 152: 499-509 (2022)
[j4]
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Samer Saab, Yiwei Fu, Asok Ray, Michael Hauser:
A Dynamically Stabilized Recurrent Neural Network. Neural Process. Lett. 54(2): 1195-1209 (2022)
2021
[j3]
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  - journals/tie/SaabHR021
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Samer Said Saab Jr., Michael Hauser, Asok Ray, Samer S. Saab:
Multivariable Nonadaptive Controller Design. IEEE Trans. Ind. Electron. 68(7): 6181-6191 (2021)
2019
[j2]
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Michael Hauser, Sean Gunn, Samer Saab Jr., Asok Ray:
State-Space Representations of Deep Neural Networks. Neural Comput. 31(3) (2019)
2016
[j1]
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Khaled Kamal Saab, Samer Said Saab Jr.:
A Stochastic Newton-Raphson Method with Noisy Function Measurements. IEEE Signal Process. Lett. 23(3): 361-365 (2016)

Conference and Workshop Papers

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2019
[c2]
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Samer S. Saab, Khaled Kamal Saab, Samer S. Saab:
Shuffled Linear Regression with Erroneous Observations. CISS 2019: 1-6
2016
[c1]
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Khaled Kamal Saab Jr., Samer Said Saab Jr.:
Application of an optimal stochastic Newton-Raphson technique to triangulation-based localization systems. PLANS 2016: 981-986

Informal and Other Publications

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2019
[i2]
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  - journals/corr/abs-1911-00089
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Yiwei Fu, Samer Saab Jr., Asok Ray, Michael Hauser:
A Dynamically Controlled Recurrent Neural Network for Modeling Dynamical Systems. CoRR abs/1911.00089 (2019)
2018
[i1]
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  - journals/corr/abs-1806-03751
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Michael Hauser, Sean Gunn, Samer Saab Jr., Asok Ray:
State Space Representations of Deep Neural Networks. CoRR abs/1806.03751 (2018)

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