Stabilization Techniques
Stabilization Techniques is a class of computational methods designed to mitigate numerical instabilities in particle-based simulations by introducing corrective mechanisms that preserve solution accuracy and convergence without compromising the physical fidelity of the discretized system.
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29.5K
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2017–2026
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Spectral Normalization for Generative Adversarial Networks
Takeru Miyato, Toshiki Kataoka, Masanori Koyama et al. · arXiv (Cornell University) · 2018 · 2.3K citations · Full text
Spectral Normalization for Generative Adversarial Networks
Takeru Miyato, Toshiki Kataoka, Masanori Koyama et al. · arXiv (Cornell University) · 2018 · 1.8K citations · Full text
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Centre National de la Recherche Scientifique
Paris, France
14 h-index
29 publications
1.1K citations
Universitat Politècnica de Catalunya
Barcelona, Spain
12 h-index
28 publications
2.9K citations
University of California San Diego
San Diego, United States
7 h-index
11 publications
934 citations
International Center for Numerical Methods in Engineering
Barcelona, Spain
6 h-index
18 publications
2.4K citations
University of South Carolina
Columbia, United States
6 h-index
13 publications
1.2K citations
École Polytechnique Fédérale de Lausanne
Lausanne, Switzerland
6 h-index
8 publications
600 citations
Stanford University
Stanford, United States
6 h-index
11 publications
1.7K citations
University of California, Berkeley
Berkeley, United States
6 h-index
16 publications
740 citations
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33 publications · 2.7K citations
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