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Papers
Top-N: Equivariant Set and Graph Generation without Exchangeability
ICLR 2022
A Permutation-Equivariant Neural Network Architecture For Auction Design
AAAI 2021
A Simple and Effective Positional Encoding for Transformers
EMNLP 2021
Deep Permutation Equivariant Structure From Motion
ICCV 2021
On Learning Sets of Symmetric Elements (Extended Abstract)
IJCAI 2021
Principled Simplicial Neural Networks for Trajectory Prediction
ICML 2021
Are Transformers universal approximators of sequence-to-sequence functions?
ICLR 2020
Building powerful and equivariant graph neural networks with structural message-passing
NeurIPS 2020
Exchangeable Neural ODE for Set Modeling
NeurIPS 2020
Natural Graph Networks
NeurIPS 2020
On Universal Equivariant Set Networks
ICLR 2020
Permutation Equivariant Models for Compositional Generalization in Language
ICLR 2020
Deep Models of Interactions Across Sets
ICML 2018