3 papers
physics.geo-ph2026
Training a generalizable diffusion model for seismic data processing using a large-scale open-source waveform dataset
Xinyue Gong, Sergey Fomel, Yangkang Chen
We introduce the Seismic Waveforms dataset for Automatic Neural-network processing (SWAN), a comprehensive and standardized benchmark designed to advance data-driven seismic signal…
cs.CV2026
Spectral Defense Against Resource-Targeting Attack in 3D Gaussian Splatting
Yang Chen, Yi Yu, Jiaming He +3
Recent advances in 3D Gaussian Splatting (3DGS) deliver high-quality rendering, yet the Gaussian representation exposes a new attack surface, the resource-targeting attack. This at…
physics.geo-ph2025
Learning from Imperfect Labels: A Physics-Aware Neural Operator with Application to DAS Data Denoising
Yang Cui, Denis Anikiev, Umair Bin Waheed +1
Supervised deep learning methods typically require large datasets and high-quality labels to achieve reliable predictions. However, their performance often degrades when trained on…