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06/03/2023
Can Directed Graph Neural Networks be Adversarially Robust?
The existing research on robust Graph Neural Networks (GNNs) fails to ac...
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05/30/2023
Auto-tune: PAC-Bayes Optimization over Prior and Posterior for Neural Networks
It is widely recognized that the generalization ability of neural networ...
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02/02/2023
Implicit regularization in Heavy-ball momentum accelerated stochastic gradient descent
It is well known that the finite step-size (h) in Gradient Descent (GD) ...
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12/08/2022
Enhanced prediction accuracy with uncertainty quantification in monitoring CO2 sequestration using convolutional neural networks
Monitoring changes inside a reservoir in real time is crucial for the su...
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02/22/2022
PyTorch Geometric Signed Directed: A Survey and Software on Graph Neural Networks for Signed and Directed Graphs
Signed networks are ubiquitous in many real-world applications (e.g., so...
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02/03/2022
Exploring Multi-physics with Extremely Weak Supervision
Multi-physical inversion plays a critical role in geophysics. It has bee...
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11/04/2021
OpenFWI: Benchmark Seismic Datasets for Machine Learning-Based Full Waveform Inversion
We present OpenFWI, a collection of large-scale open-source benchmark da...
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10/14/2021
Unsupervised Learning of Full-Waveform Inversion: Connecting CNN and Partial Differential Equation in a Loop
This paper investigates unsupervised learning of Full-Waveform Inversion...
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06/22/2021
Making Invisible Visible: Data-Driven Seismic Inversion with Physics-Informed Data Augmentation
Deep learning and data-driven approaches have shown great potential in s...
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05/25/2021
Connect the Dots: In Situ 4D Seismic Monitoring of CO_2 Storage with Spatio-temporal CNNs
4D seismic imaging has been widely used in CO_2 sequestration projects t...
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02/22/2021