wave inverse problems
a deep learning framework for solving inverse problems
Waves are very useful for exploration sciences. Scientists have been using pressure wave to map the Earth subsurface; acoustic wave to diagnose patients; electromagnetic wave to scan luggages … The wave inverse problems are usually ill-posed, hence the recovered images are blurry and contain artifacts.
Beside traditional regularization to make the problem well-posed, deep learning offers
data-driven approach thanks to its inductive bias.
I am currently involved in two projects:
- Estimating planet's interior from its toroidal modes
- Implicit representation of Earth velocity using travel time data
<img
src="/assets/img/1.jpg"
class="img-fluid rounded z-depth-1"
width="auto"
height="auto"
title="example image"
onerror="this.onerror=null; $('.responsive-img-srcset').remove();"
/>
</picture>
</figure>
</div>
<div class="col-sm mt-3 mt-md-0">
<figure>

</figure>
</div>
<div class="col-sm mt-3 mt-md-0">
<figure>

</figure>
</div>
</div>

You can also put regular text between your rows of images. Say you wanted to write a little bit about your project before you posted the rest of the images. You describe how you toiled, sweated, bled for your project, and then… you reveal its glory in the next row of images.


The code is simple.
Just wrap your images with <div class="col-sm">
and place them inside <div class="row">
(read more about the Bootstrap Grid system).
To make images responsive, add img-fluid
class to each; for rounded corners and shadows use rounded
and z-depth-1
classes.
Here’s the code for the last row of images above:
<div class="row justify-content-sm-center">
<div class="col-sm-8 mt-3 mt-md-0">
{% include figure.html path="assets/img/6.jpg" title="example image" class="img-fluid rounded z-depth-1" %}
</div>
<div class="col-sm-4 mt-3 mt-md-0">
{% include figure.html path="assets/img/11.jpg" title="example image" class="img-fluid rounded z-depth-1" %}
</div>
</div>
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