Collaborative repository for optimizing the placement of temperature sensors in the Great Lakes using the DeepSensor machine learning framework. Aiming to enhance the quantitative understanding of surface temperature variability for better environmental monitoring and decision-making.
MIT License
0
stars
0
forks
source link
Review background materials on neural processes #2
(Here I've assumed that you haven't engaged much with neural processes. My apologies if that is incorrect!)
Issue Description:
As part of your fellowship, it will be important to have a conversational understanding of neural processes to engage with other researchers. Mastery of every detail isn't required - it's more about grasping the general concepts and being able to discuss them with your colleagues. Below are some papers that offer context and illustrate diverse applications of neural processes. While they're not focused exclusively on environmental sensor placement, they should help give you a solid background.
(Here I've assumed that you haven't engaged much with neural processes. My apologies if that is incorrect!)
Issue Description:
As part of your fellowship, it will be important to have a conversational understanding of neural processes to engage with other researchers. Mastery of every detail isn't required - it's more about grasping the general concepts and being able to discuss them with your colleagues. Below are some papers that offer context and illustrate diverse applications of neural processes. While they're not focused exclusively on environmental sensor placement, they should help give you a solid background.
Jonas Scholz et al. Sim2Real with Environmental Neural Processes. NeurIPS Tackling Climate Change with Machine Learning Workshop (2023)
Wessel Bruinsma et al. Autoregressive Conditional Neural Processes. In Proceedings of the 11th International Conference on Learning Representations, ICLR (2023)
Anna Vaughan et al. Convolutional conditional neural processes for local climate downscaling. Geoscientific Model Development (2022)
In addition to reading, these videos are great supplementary materials to further your understanding:
Advances in Neural Processes
Autoregressive Conditional Neural Processes
For an overview of the neural process landscape, be sure to visit the neural process family website:
https://yanndubs.github.io/Neural-Process-Family/text/Intro.html
This mix of literature and videos should provide a solid foundation for your knowledge of neural processes.