Had an awesome time at the Gordon Research Conference for Granular Matter 2024! Went with a poster, ended up winning the poster prize (❗️😵💫🤩), and gave my 1st talk as a result… what a time!
Also, shoutout to @ecpbreard for the cool volcano/chicken stickers 🌋
KAN: Kolmogorov–Arnold Networks is a really elegant paper. It's refreshing to see that things worked by design rather than by accident in ML. I made a small KAN experiment comparing it to MLP and spline fitting. (notebook in comments!)
Distributed acoustic sensing (DAS) data is complicated. This figure shows the anatomy of the noise components in the DAS data. As a result, we need to develop individual approaches to deal with these complicated noise components before we can better leverage the fiber optic data.