-
Thank you for giving a fascinating tutorial in NeurIPS 2020 about equivariance, I am very interested and new in this field. After reading your paper, I have a question about the merging of the dimensi…
-
I was trying to use ico cnn to do some experiments about SO(3) rotations.But I was wondering how to prove this network is equivariant to the rotations.On one hand I rotated the signals first and sent …
-
At the MLPDS meeting someone brought up that in multicomponent the order of components currently matters because the learned representations are concatenated. Could we add an option to make the archit…
-
Hi,
I am posting because I want to train a DQN-agent using a geometric deep learning model that obeys the very specific rule (equivariance):
network(P_1 * State * P_2) = P_1 * network(State) * P…
-
Hi,
After succefully running SortPooling, I am experimenting with my own data set while keepenig the architecture
and have a couple of questions:
- TrajectoryData gets the size but internally produ…
tinca updated
2 weeks ago
-
I'm puzzled by the number of trainable parameters in networks using `gconv2d`.
The script below creates a network using `gconv2d`s from Z2 to C4 to C4 and counts the number of learnable parameters…
-
## People have the priors[!](https://www.youtube.com/watch?v=pPR-HyGj2d0)
As pointed out in the last lecture and lab session, recognizing the prior knowledge you have about your learning problem is…
-
Hi. Thanks for the wonderful implementation!
I was wondering if linformer can be used with any unordered set of tensors (or is it just sequence data?). Specifically, is linformer permutation equiva…
-
I'm trying to replicate the results of "[On discrete symmetries of robotics systems: A group-theoretic and data-driven analysis (RSS-2023)](https://danfoa.github.io/MorphoSymm/)". Unfortunately, the p…
-
I'm trying to modify GraphUNet to do regression for third column elements in `pos[ : , 2 ]` with my own datasets.
`MyData` has a lot of graphs, but each graph has same number of nodes and edges.
`…