I've submitted a paper to #nldl2024! This is my first real #conference submission.
Title: Towards AI for approximating hydrodynamic simulations as a 2D segmentation task
Alternate title: Abusing image segmentation to approximate physics based simulations /lh
#nldl #deeplabv3plus #hydrodynamic #imagesegmentation #ai #conference #nldl2024
I've got A 6-page #ai / #deeplearning conference paper I'm putting the finishing touches to that I plan to submit to #nldl2024!
If accepted, this will be my first full academic conference!
It's about a proof of concept using rainfall radar data to predict water depth in 2d. Followers of my PhD update blog post series will remember it as a recurring theme.
Submission deadline is 2023-09-01: https://www.nldl.org/call-for-papers
#nldl #nldl2024 #deeplearning #ai
#SelfSupervision with ~10k parameters & < 10 min training?
Check out our latest work "#Efficient Self-Supervision using Patch-based Contrastive Learning for #Histopathology #Image #Segmentation", to be presented at the #NorthernLights #DeepLearning Conference this week.
The first author Nicklas Boserup, who is currently a 1st year's MSc student from UCPH
, will give an oral presentation at #NLDL this week.
Paper: https://arxiv.org/abs/2208.10779
Code: https://github.com/nickeopti/bach-contrastive-segmentation
#publicationalert #selfsupervision #efficient #histopathology #image #segmentation #northernlights #deeplearning #nldl