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Filters: Author is Yunlin Zeng and Keyword is deep learning  [Clear All Filters]
2025
Yunlin Zeng, Huseyin Tuna Erdinc, Rafael Orozco, and Felix J. Herrmann, “Full-waveform variational inference with common-image gathers”. 2025.
Huseyin Tuna Erdinc, Yunlin Zeng, Abhinav Prakash Gahlot, and Felix J. Herrmann, “Power-scaled Bayesian inference with score-based generative models”. 2025.
2024
Yunlin Zeng, Ziyi Yin, Rafael Orozco, Mathias Louboutin, and Felix J. Herrmann, “Enhancing Full-Waveform Variational Inference through Stochastic Resampling”, ML4SEISMIC Partners Meeting. 2024.
Yunlin Zeng, Rafael Orozco, Ziyi Yin, and Felix J. Herrmann, “Enhancing Full-Waveform Variational Inference through Stochastic Resampling and Data Augmentation”, in International Meeting for Applied Geoscience and Energy, 2024.
Richard Rex, Yunlin Zeng, Ziyi Yin, Rafael Orozco, and Felix J. Herrmann, “FNO-charged ASPIRE”, ML4SEISMIC Partners Meeting. 2024.
Rafael Orozco, Huseyin Tuna Erdinc, Souza, T., Yunlin Zeng, Ziyi Yin, and Felix J. Herrmann, “Machine-learning enabled velocity-model building with uncertainty quantification”, ML4SEISMIC Partners Meeting. 2024.