On the Limitations of Representing Functions on Sets

25 January 2019

Papers citing "On the Limitations of Representing Functions on Sets"

43 / 43 papers shown

Title
Fourier Sliced-Wasserstein Embedding for Multisets and Measures Tal Amir Nadav Dym 61 2 0 03 Apr 2025
On the Hölder Stability of Multiset and Graph Neural Networks Yair Davidson Nadav Dym 53 0 0 11 Jun 2024
DE-HNN: An effective neural model for Circuit Netlist representation Zhishang Luo Truong-Son Hy Puoya Tabaghi Donghyeon Koh Michael Defferrard Elahe Rezaei Ryan Carey William Rhett Davis Rajeev Jain Yusu Wang 26 5 0 30 Mar 2024
Transformer Choice Net: A Transformer Neural Network for Choice Prediction Hanzhao Wang Xiaocheng Li Kalyan Talluri 37 2 0 12 Oct 2023
Choice Models and Permutation Invariance: Demand Estimation in Differentiated Products Markets Amandeep Singh Ye Liu Hema Yoganarasimhan 36 2 0 13 Jul 2023
Universal Approximation and the Topological Neural Network M. Kouritzin Daniel Richard 23 0 0 26 May 2023
Everything is Connected: Graph Neural Networks Petar Velickovic GNN AI4CE 25 179 0 19 Jan 2023
Learnable Commutative Monoids for Graph Neural Networks Euan Ong Petar Velickovic 24 13 0 16 Dec 2022
PELICAN: Permutation Equivariant and Lorentz Invariant or Covariant Aggregator Network for Particle Physics A. Bogatskiy Timothy Hoffman David W. Miller Jan T. Offermann 36 30 0 01 Nov 2022
Neural Estimation of Submodular Functions with Applications to Differentiable Subset Selection A. De Soumen Chakrabarti 24 4 0 20 Oct 2022
The Neural Process Family: Survey, Applications and Perspectives Saurav Jha Dong Gong Xuesong Wang Richard Turner L. Yao BDL 83 24 0 01 Sep 2022
DCSF: Deep Convolutional Set Functions for Classification of Asynchronous Time Series Vijaya Krishna Yalavarthi Johannes Burchert Lars Schmidt-Thieme BDL AI4TS 28 4 0 24 Aug 2022
Set Norm and Equivariant Skip Connections: Putting the Deep in Deep Sets Lily H. Zhang Veronica Tozzo J. Higgins Rajesh Ranganath BDL MoE 19 16 0 23 Jun 2022
Exponential Separations in Symmetric Neural Networks Aaron Zweig Joan Bruna 39 7 0 02 Jun 2022
Variable-Input Deep Operator Networks Michael Prasthofer Tim De Ryck Siddhartha Mishra 48 23 0 23 May 2022
Low Dimensional Invariant Embeddings for Universal Geometric Learning Nadav Dym S. Gortler 34 39 0 05 May 2022
Theory of Graph Neural Networks: Representation and Learning Stefanie Jegelka GNN AI4CE 35 68 0 16 Apr 2022
DuMLP-Pin: A Dual-MLP-dot-product Permutation-invariant Network for Set Feature Extraction Jiajun Fei Ziyu Zhu Wenlei Liu Zhidong Deng Mingyang Li Huanjun Deng Shuo Zhang 3DPC 10 6 0 08 Mar 2022
Equilibrium Aggregation: Encoding Sets via Optimization Sergey Bartunov F. Fuchs Timothy Lillicrap 34 7 0 25 Feb 2022
Message passing all the way up Petar Velickovic 118 64 0 22 Feb 2022
Set Twister for Single-hop Node Classification Yangze Zhou Vinayak A. Rao Bruno Ribeiro 38 0 0 17 Dec 2021
SLOSH: Set LOcality Sensitive Hashing via Sliced-Wasserstein Embeddings Yuzhe Lu Xinran Liu Andrea Soltoggio Soheil Kolouri 21 7 0 11 Dec 2021
ZZ-Net: A Universal Rotation Equivariant Architecture for 2D Point Clouds Georg Bökman Fredrik Kahl Axel Flinth 3DPC 28 19 0 30 Nov 2021
Multiset-Equivariant Set Prediction with Approximate Implicit Differentiation Yan Zhang David W. Zhang Simon Lacoste-Julien Gertjan J. Burghouts Cees G. M. Snoek BDL 46 21 0 23 Nov 2021
Deep Synoptic Monte Carlo Planning in Reconnaissance Blind Chess Gregory Clark 35 9 0 05 Oct 2021
Reconstruction for Powerful Graph Representations Leonardo Cotta Christopher Morris Bruno Ribeiro AI4CE 132 78 0 01 Oct 2021
Universal Approximation of Functions on Sets E. Wagstaff F. Fuchs Martin Engelcke Michael A. Osborne Ingmar Posner PINN 38 54 0 05 Jul 2021
You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks Eli Chien Chao Pan Jianhao Peng O. Milenkovic GNN 49 129 0 24 Jun 2021
GENESIS-V2: Inferring Unordered Object Representations without Iterative Refinement Martin Engelcke Oiwi Parker Jones Ingmar Posner OCL 37 115 0 20 Apr 2021
Accurate Learning of Graph Representations with Graph Multiset Pooling Jinheon Baek Minki Kang Sung Ju Hwang 36 173 0 23 Feb 2021
Reversible Action Design for Combinatorial Optimization with Reinforcement Learning Fan Yao Renqin Cai Hongning Wang 35 11 0 14 Feb 2021
Learning Aggregation Functions Giovanni Pellegrini Alessandro Tibo P. Frasconi Andrea Passerini M. Jaeger FedML 18 19 0 15 Dec 2020
Point Transformer Nico Engel Vasileios Belagiannis Klaus C. J. Dietmayer 3DPC 57 1,947 0 02 Nov 2020
On Representing (Anti)Symmetric Functions Marcus Hutter 17 22 0 30 Jul 2020
SE(3)-Transformers: 3D Roto-Translation Equivariant Attention Networks F. Fuchs Daniel E. Worrall Volker Fischer Max Welling 3DPC 45 667 0 18 Jun 2020
Walk Message Passing Neural Networks and Second-Order Graph Neural Networks Floris Geerts 26 8 0 16 Jun 2020
On Learning Sets of Symmetric Elements Haggai Maron Or Litany Gal Chechik Ethan Fetaya 32 132 0 20 Feb 2020
A Gentle Introduction to Deep Learning for Graphs D. Bacciu Federico Errica Alessio Micheli Marco Podda AI4CE GNN 51 278 0 29 Dec 2019
Convolutional Conditional Neural Processes Jonathan Gordon W. Bruinsma Andrew Y. K. Foong James Requeima Yann Dubois Richard Turner BDL 25 162 0 29 Oct 2019
On the Equivalence between Positional Node Embeddings and Structural Graph Representations Balasubramaniam Srinivasan Bruno Ribeiro 19 27 0 01 Oct 2019
Set Functions for Time Series Max Horn Michael Moor Christian Bock Bastian Alexander Rieck Karsten M. Borgwardt AI4TS 38 146 0 26 Sep 2019
End-to-end Recurrent Multi-Object Tracking and Trajectory Prediction with Relational Reasoning F. Fuchs Adam R. Kosiorek Li Sun Oiwi Parker Jones Ingmar Posner VOT 28 12 0 12 Jul 2019
Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks Juho Lee Yoonho Lee Jungtaek Kim Adam R. Kosiorek Seungjin Choi Yee Whye Teh 23 274 0 01 Oct 2018