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07/28/2023
Does Full Waveform Inversion Benefit from Big Data?
This paper investigates the impact of big data on deep learning models f...
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06/21/2023
𝔼^𝐅𝐖𝐈: Multi-parameter Benchmark Datasets for Elastic Full Waveform Inversion of Geophysical Properties
Elastic geophysical properties (such as P- and S-wave velocities) are of...
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09/25/2022
Solving Seismic Wave Equations on Variable Velocity Models with Fourier Neural Operator
In the study of subsurface seismic imaging, solving the acoustic wave eq...
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01/25/2022
Reinforcement Learning Based Query Vertex Ordering Model for Subgraph Matching
Subgraph matching is a fundamental problem in various fields that use gr...
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11/18/2021
Advancing COVID-19 Diagnosis with Privacy-Preserving Collaboration in Artificial Intelligence
Artificial intelligence (AI) provides a promising substitution for strea...
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10/27/2021
Iterative Teaching by Label Synthesis
In this paper, we consider the problem of iterative machine teaching, wh...
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09/11/2021
MLReal: Bridging the gap between training on synthetic data and real data applications in machine learning
Among the biggest challenges we face in utilizing neural networks traine...
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02/12/2021
A Parameterised Quantum Circuit Approach to Point Set Matching
Point set registration is one of the challenging tasks in areas such as ...
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10/02/2020
Pre-Training by Completing Point Clouds
There has recently been a flurry of exciting advances in deep learning m...
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05/12/2020
GoGNN: Graph of Graphs Neural Network for Predicting Structured Entity Interactions
Entity interaction prediction is essential in many important application...
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04/19/2020
Binarized Graph Neural Network
Recently, there have been some breakthroughs in graph analysis by applyi...
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10/22/2019
