Papers Using This Method
Hybrid Adaptive Modeling in Process Monitoring: Leveraging Sequence Encoders and Physics-Informed Neural Networks2025-05-20SetONet: A Deep Set-based Operator Network for Solving PDEs with permutation invariant variable input sampling2025-05-07Quantum Deep Sets and Sequences2025-04-03Aggregation Schemes for Single-Vector WSI Representation Learning in Digital Pathology2025-01-29Stacking Deep Set Networks and Pooling by Quantiles2024-07-21Consensus Learning with Deep Sets for Essential Matrix Estimation2024-06-25On permutation-invariant neural networks2024-03-26Moments of Clarity: Streamlining Latent Spaces in Machine Learning using Moment Pooling2024-03-13Uniform $\mathcal{C}^k$ Approximation of $G$-Invariant and Antisymmetric Functions, Embedding Dimensions, and Polynomial Representations2024-03-02Ultrafast jet classification on FPGAs for the HL-LHC2024-02-02MolSets: Molecular Graph Deep Sets Learning for Mixture Property Modeling2023-12-27Universal Representation of Permutation-Invariant Functions on Vectors and Tensors2023-10-20EPiC-ly Fast Particle Cloud Generation with Flow-Matching and Diffusion2023-09-29Techniques to Improve Neural Math Word Problem Solvers2023-02-06EPiC-GAN: Equivariant Point Cloud Generation for Particle Jets2023-01-17Graph Neural Networks with Adaptive Readouts2022-11-09Bayesian Convolutional Deep Sets with Task-Dependent Stationary Prior2022-10-22Set Norm and Equivariant Skip Connections: Putting the Deep in Deep Sets2022-06-23Policy Architectures for Compositional Generalization in Control2022-03-10DuMLP-Pin: A Dual-MLP-dot-product Permutation-invariant Network for Set Feature Extraction2022-03-08