Universal Approximation of Functions on Sets

5 July 2021

Papers citing "Universal Approximation of Functions on Sets"

43 / 43 papers shown

Title
PC-DeepNet: A GNSS Positioning Error Minimization Framework Using Permutation-Invariant Deep Neural Network M. Humayun Kabir Md. Ali Hasan Md. Shafiqul Islam Kyeongjun Ko Wonjae Shin 29 0 0 18 Apr 2025
Fourier Sliced-Wasserstein Embedding for Multisets and Measures Tal Amir Nadav Dym 48 2 0 03 Apr 2025
Probabilistic Graph Circuits: Deep Generative Models for Tractable Probabilistic Inference over Graphs Milan Papez Martin Rektoris Václav Smídl Tomás Pevný TPM 78 0 0 15 Mar 2025
Learning Fair and Preferable Allocations through Neural Network Ryota Maruo Koh Takeuchi Hisashi Kashima 35 0 0 23 Oct 2024
DeepOSets: Non-Autoregressive In-Context Learning of Supervised Learning Operators Shao-Ting Chiu Junyuan Hong Ulisses Braga-Neto BDL 23 0 0 11 Oct 2024
SetPINNs: Set-based Physics-informed Neural Networks M. Nagda Phil Ostheimer Thomas Specht Frank Rhein F. Jirasek Stephan Mandt Sophie Fellenz Sophie Fellenz PINN 3DPC 46 0 0 30 Sep 2024
Decomposition of Equivariant Maps via Invariant Maps: Application to Universal Approximation under Symmetry Akiyoshi Sannai Yuuki Takai Matthieu Cordonnier 160 0 0 25 Sep 2024
GraphSPNs: Sum-Product Networks Benefit From Canonical Orderings Milan Papež Martin Rektoris Václav Šmídl Tomáš Pevný TPM 47 0 0 18 Aug 2024
Consensus Learning with Deep Sets for Essential Matrix Estimation Dror Moran Yuval Margalit Guy Trostianetsky Fadi Khatib Meirav Galun Ronen Basri 3DV 43 0 0 25 Jun 2024
In-Context In-Context Learning with Transformer Neural Processes Matthew Ashman Cristiana-Diana Diaconu Adrian Weller Richard E. Turner 26 3 0 19 Jun 2024
Translation Equivariant Transformer Neural Processes Matthew Ashman Cristiana-Diana Diaconu Junhyuck Kim Lakee Sivaraya Stratis Markou James Requeima W. Bruinsma Richard E. Turner 41 4 0 18 Jun 2024
AlphaZeroES: Direct score maximization outperforms planning loss minimization Carlos Martin Tuomas Sandholm 25 0 0 12 Jun 2024
On permutation-invariant neural networks Masanari Kimura Ryotaro Shimizu Yuki Hirakawa Ryosuke Goto Yuki Saito OOD AAML 33 12 0 26 Mar 2024
$Uniform $\mathcal{C}^k$ Approximation of $G$-Invariant and Antisymmetric Functions, Embedding Dimensions, and Polynomial Representations$ Uniform $\mathcal{C}^k$ Approximation of $G$ -Invariant and Antisymmetric Functions, Embedding Dimensions, and Polynomial Representations Soumya Ganguly Khoa Tran Rahul Sarkar 36 0 0 02 Mar 2024
Towards Context-Aware Domain Generalization: Understanding the Benefits and Limits of Marginal Transfer Learning Jens Müller Lars Kühmichel Martin Rohbeck Stefan T. Radev Ullrich Kothe OOD 32 0 0 15 Dec 2023
Mosaic-SDF for 3D Generative Models Lior Yariv Omri Puny Natalia Neverova Oran Gafni Y. Lipman 24 37 0 14 Dec 2023
Tabular Few-Shot Generalization Across Heterogeneous Feature Spaces Max Zhu Katarzyna Kobalczyk Andrija Petrović Mladen Nikolic M. Schaar Boris Delibasic Petro Lio 25 2 0 16 Nov 2023
Neural Bayes Estimators for Irregular Spatial Data using Graph Neural Networks Matthew Sainsbury-Dale A. Zammit‐Mangion J. Richards Raphael Huser 28 15 0 04 Oct 2023
A Unified Framework for Discovering Discrete Symmetries Pavan Karjol Rohan Kashyap Aditya Gopalan Prathosh A.P. 19 2 0 06 Sep 2023
Learning multi-modal generative models with permutation-invariant encoders and tighter variational bounds Marcel Hirt Domenico Campolo Victoria Leong Juan-Pablo Ortega DRL 8 0 0 01 Sep 2023
Probabilistic Invariant Learning with Randomized Linear Classifiers Leonardo Cotta Gal Yehuda Assaf Schuster Chris J. Maddison 10 2 0 08 Aug 2023
Neural approximation of Wasserstein distance via a universal architecture for symmetric and factorwise group invariant functions Samantha Chen Yusu Wang 15 3 0 01 Aug 2023
Explainable Equivariant Neural Networks for Particle Physics: PELICAN A. Bogatskiy Timothy Hoffman David W. Miller Jan T. Offermann Xiaoyang Liu 29 24 0 31 Jul 2023
Polynomial Width is Sufficient for Set Representation with High-dimensional Features Peihao Wang Shenghao Yang Shu Li Zhangyang Wang Pan Li 19 3 0 08 Jul 2023
Practical Equivariances via Relational Conditional Neural Processes Daolang Huang Manuel Haussmann Ulpu Remes S. T. John Grégoire Clarté K. Luck Samuel Kaski Luigi Acerbi BDL 54 8 0 19 Jun 2023
Neural Injective Functions for Multisets, Measures and Graphs via a Finite Witness Theorem Tal Amir S. Gortler Ilai Avni Ravi Ravina Nadav Dym 97 23 0 10 Jun 2023
Fast computation of permutation equivariant layers with the partition algebra Charles Godfrey Michael G. Rawson Davis Brown Henry Kvinge 38 6 0 10 Mar 2023
Complete Neural Networks for Complete Euclidean Graphs Snir Hordan Tal Amir S. Gortler Nadav Dym 3DPC 24 5 0 31 Jan 2023
On the Connection Between MPNN and Graph Transformer Chen Cai Truong Son-Hy Rose Yu Yusu Wang 31 51 0 27 Jan 2023
Stretched and measured neural predictions of complex network dynamics V. Vasiliauskaite Nino Antulov-Fantulin 17 1 0 12 Jan 2023
The Neural Process Family: Survey, Applications and Perspectives Saurav Jha Dong Gong Xuesong Wang Richard E. Turner L. Yao BDL 68 24 0 01 Sep 2022
Likelihood-Free Parameter Estimation with Neural Bayes Estimators Matthew Sainsbury-Dale A. Zammit‐Mangion Raphael Huser 19 34 0 27 Aug 2022
Scalable Set Encoding with Universal Mini-Batch Consistency and Unbiased Full Set Gradient Approximation Jeffrey Willette Seanie Lee Bruno Andreis Kenji Kawaguchi Juho Lee S. Hwang 13 3 0 26 Aug 2022
Deep Neural Network Approximation of Invariant Functions through Dynamical Systems Qianxiao Li T. Lin Zuowei Shen 13 6 0 18 Aug 2022
Towards Antisymmetric Neural Ansatz Separation Aaron Zweig Joan Bruna 18 4 0 05 Aug 2022
Exponential Separations in Symmetric Neural Networks Aaron Zweig Joan Bruna 27 7 0 02 Jun 2022
Graph Ordering Attention Networks Michail Chatzianastasis J. Lutzeyer George Dasoulas Michalis Vazirgiannis GNN 25 18 0 11 Apr 2022
SpeqNets: Sparsity-aware Permutation-equivariant Graph Networks Christopher Morris Gaurav Rattan Sandra Kiefer Siamak Ravanbakhsh 42 39 0 25 Mar 2022
Equilibrium Aggregation: Encoding Sets via Optimization Sergey Bartunov F. Fuchs Timothy Lillicrap 19 7 0 25 Feb 2022
SHIFT15M: Fashion-specific dataset for set-to-set matching with several distribution shifts Masanari Kimura Takuma Nakamura Yuki Saito OOD 31 3 0 30 Aug 2021
A Practical Method for Constructing Equivariant Multilayer Perceptrons for Arbitrary Matrix Groups Marc Finzi Max Welling A. Wilson 73 185 0 19 Apr 2021
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas J. Guibas 3DH 3DPC 3DV PINN 222 14,099 0 02 Dec 2016
Interaction Networks for Learning about Objects, Relations and Physics Peter W. Battaglia Razvan Pascanu Matthew Lai Danilo Jimenez Rezende Koray Kavukcuoglu AI4CE OCL PINN GNN 278 1,400 0 01 Dec 2016