19 citations
- Universidade de São PauloBR6 papers
- Atacama Large Millimeter Submillimeter ArrayCL1 paper
- Carnegie Institution for ScienceUS1 paper
- Center for Astrophysics Harvard & SmithsonianUS1 paper
- Center for Theoretical PhysicsPL1 paper
- Centre de Recherche Astrophysique de LyonFR1 paper
- Centre National de la Recherche ScientifiqueFR1 paper
- Centro Brasileiro de Pesquisas FísicasBR1 paper
- Cerro Tololo Inter-American ObservatoryCL1 paper
- Chalmers University of TechnologySE1 paper
- Columbia UniversityUS1 paper
- Consejo Nacional de Investigaciones Científicas y TécnicasAR1 paper
Showing cs.LGShow all
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cs.LG2026★ 1 cited
Enhancing the Parameterization of Reservoir Properties for Data Assimilation Using Deep VAE-GAN
M. A. Sampaio, P. H. Ranazzi, M. J. Blunt
Currently, the methods called Iterative Ensemble Smoothers, especially the method called Ensemble Smoother with Multiple Data Assimilation (ESMDA) can be considered state-of-the-ar…
cs.LG2025★ 2 cited
One Period to Rule Them All: Identifying Critical Learning Periods in Deep Networks
Vinicius Yuiti Fukase, Heitor Gama, Barbara Bueno +3
Critical Learning Periods comprehend an important phenomenon involving deep learning, where early epochs play a decisive role in the success of many training recipes, such as data…