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Armenak Petrosyan

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2020 – today

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2023
[i6]
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  - journals/corr/abs-2311-12282
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Armenak Petrosyan, Konstantin Pieper, Hoang Tran:
Orthogonally weighted 𝓁_{2, 1} regularization for rank-aware joint sparse recovery: algorithm and analysis. CoRR abs/2311.12282 (2023)
2020
[c1]
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  - conf/msml/PetrosyanDW20
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Armenak Petrosyan, Anton Dereventsov, Clayton G. Webster:
Neural network integral representations with the ReLU activation function. MSML 2020: 128-143
[i5]
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  - journals/corr/abs-2004-11515
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Konstantin Pieper, Armenak Petrosyan:
Nonconvex penalization for sparse neural networks. CoRR abs/2004.11515 (2020)

2010 – 2019

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2019
[i4]
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  - journals/corr/abs-1905-10409
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Anton Dereventsov, Armenak Petrosyan, Clayton G. Webster:
Greedy Shallow Networks: A New Approach for Constructing and Training Neural Networks. CoRR abs/1905.10409 (2019)
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  - journals/corr/abs-1909-07270
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Joseph Daws Jr., Armenak Petrosyan, Hoang Tran, Clayton G. Webster:
A Weighted 𝓁₁-Minimization Approach For Wavelet Reconstruction of Signals and Images. CoRR abs/1909.07270 (2019)
[i2]
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  - journals/corr/abs-1910-02743
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Anton Dereventsov, Armenak Petrosyan, Clayton G. Webster:
Neural network integral representations with the ReLU activation function. CoRR abs/1910.02743 (2019)
2018
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  - journals/corr/abs-1811-08778
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Armenak Petrosyan, Hoang Tran, Clayton G. Webster:
Reconstruction of jointly sparse vectors via manifold optimization. CoRR abs/1811.08778 (2018)

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