Standout Papers

On instabilities of deep learning in image reconstruction and the potential costs of AI 2020 2026 2022 2024370
  1. On instabilities of deep learning in image reconstruction and the potential costs of AI (2020)
    Vegard Antun, Francesco Renna et al. Proceedings of the National Academy of Sciences

Immediate Impact

42 standout
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Citing Papers

A comprehensive review of deep learning-based hyperspectral image reconstruction for agri-food quality appraisal
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2 intermediate papers

Works of Vegard Antun being referenced

On instabilities of deep learning in image reconstruction and the potential costs of AI
2020 Standout

Author Peers

Author Last Decade Papers Cites
Vegard Antun 63 11 14 256 137 4 436
Hyungjin Chung 115 2 12 210 83 11 386
Thanh Nguyen-Duc 128 2 293 122 7 414
Shun Zhu 82 2 394 136 13 507
Jinseong Jang 88 1 305 99 12 413
Burhaneddin Yaman 60 7 8 372 96 20 465
Kehong Yuan 110 4 2 332 227 22 481
Jack Tsao 85 8 2 82 106 14 422
Muzaffer Özbey 165 1 6 237 77 11 407
Johann Radon 97 1 6 146 113 2 383
C. Odet 149 5 1 183 51 18 431

All Works

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2026