permutation invariance

Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations ICML 2022 Seeing the forest and the tree: Building representations of both individual and collective dynamics with transformers NeurIPS 2022 Set Norm and Equivariant Skip Connections: Putting the Deep in Deep Sets ICML 2022 TD-GEN: Graph Generation Using Tree Decomposition AISTATS 2022 The Role of Permutation Invariance in Linear Mode Connectivity of Neural Networks ICLR 2022 Universal Approximation of Functions on Sets JMLR 2022 Why Discard if You Can Recycle?: A Recycling Max Pooling Module for 3D Point Cloud Analysis CVPR 2022 A Functional Perspective on Learning Symmetric Functions with Neural Networks ICML 2021 BoW Pooling: A Plug-and-Play Unit for Feature Aggregation of Point Clouds AAAI 2021 CNN and Deep Sets for End-to-End Whole Slide Image Representation Learning MIDL 2021 Expressive Power of Invariant and Equivariant Graph Neural Networks ICLR 2021 Generative PointNet: Deep Energy-Based Learning on Unordered Point Sets for 3D Generation, Reconstruction and Classification CVPR 2021 Group Equivariant Conditional Neural Processes ICLR 2021 Mini-Batch Consistent Slot Set Encoder for Scalable Set Encoding NeurIPS 2021 On Learning Sets of Symmetric Elements (Extended Abstract) IJCAI 2021 Permutation-Invariant Variational Autoencoder for Graph-Level Representation Learning NeurIPS 2021 SetVAE: Learning Hierarchical Composition for Generative Modeling of Set-Structured Data CVPR 2021 The Sensory Neuron as a Transformer: Permutation-Invariant Neural Networks for Reinforcement Learning NeurIPS 2021 Transformers Generalize DeepSets and Can be Extended to Graphs & Hypergraphs NeurIPS 2021 UnNatural Language Inference ACL 2021 Better Set Representations For Relational Reasoning NeurIPS 2020 Exchangeable Generative Models with Flow Scans AAAI 2020 Generalization and Representational Limits of Graph Neural Networks ICML 2020 On Learning Sets of Symmetric Elements ICML 2020 Regularizing Towards Permutation Invariance In Recurrent Models NeurIPS 2020