Closed amcarter closed 2 years ago
This is an interesting paper that is under review at HESS: Hydrological concept formation inside long short-term memory (LSTM) networks.
Motivating question: Is the model learning hydrologic processes that are not explicitly included in the training dataset?
This is getting long so I'll end there, but I thought this might have some relevance to how we are thinking about cell states
Any objections to converting this issue to a Discussion (i.e. how can we interpret model hidden states?)?
no objections here.
At our last meeting (2/15) we discussed comparing hidden state 3 to the LAI of the different sites.
Here, four focal sites for which LAI was available, we observed that H3 was similar for the first three, but quite different for the coastal plain site 01466500 (lower right)
The LAI for these four sites does not explain this difference.
The coastal plain site (upper left in this figure) does have the highest summer LAI of the four, but it is highly seasonal, not explaining the constant H3 state above