On the Limitations of Representing Functions on Sets

25 January 2019

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

26 / 26 papers shown

Title
Fourier Sliced-Wasserstein Embedding for Multisets and Measures Tal Amir Nadav Dym 45 2 0 03 Apr 2025
On the Hölder Stability of Multiset and Graph Neural Networks Yair Davidson Nadav Dym 41 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 16 5 0 30 Mar 2024
Transformer Choice Net: A Transformer Neural Network for Choice Prediction Hanzhao Wang Xiaocheng Li K. Talluri 24 2 0 12 Oct 2023
Choice Models and Permutation Invariance: Demand Estimation in Differentiated Products Markets Amandeep Singh Ye Liu Hema Yoganarasimhan 16 2 0 13 Jul 2023
Universal Approximation and the Topological Neural Network M. Kouritzin Daniel Richard 13 0 0 26 May 2023
The Neural Process Family: Survey, Applications and Perspectives Saurav Jha Dong Gong Xuesong Wang Richard E. Turner L. Yao BDL 63 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 20 4 0 24 Aug 2022
Exponential Separations in Symmetric Neural Networks Aaron Zweig Joan Bruna 24 7 0 02 Jun 2022
Variable-Input Deep Operator Networks Michael Prasthofer Tim De Ryck Siddhartha Mishra 37 23 0 23 May 2022
Low Dimensional Invariant Embeddings for Universal Geometric Learning Nadav Dym S. Gortler 16 38 0 05 May 2022
Theory of Graph Neural Networks: Representation and Learning Stefanie Jegelka GNN AI4CE 24 67 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 8 6 0 08 Mar 2022
Equilibrium Aggregation: Encoding Sets via Optimization Sergey Bartunov F. Fuchs Timothy Lillicrap 11 7 0 25 Feb 2022
ZZ-Net: A Universal Rotation Equivariant Architecture for 2D Point Clouds Georg Bökman Fredrik Kahl Axel Flinth 3DPC 21 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 33 21 0 23 Nov 2021
Deep Synoptic Monte Carlo Planning in Reconnaissance Blind Chess Gregory Clark 16 9 0 05 Oct 2021
Reconstruction for Powerful Graph Representations Leonardo Cotta Christopher Morris Bruno Ribeiro AI4CE 122 78 0 01 Oct 2021
GENESIS-V2: Inferring Unordered Object Representations without Iterative Refinement Martin Engelcke Oiwi Parker Jones Ingmar Posner OCL 22 114 0 20 Apr 2021
Reversible Action Design for Combinatorial Optimization with Reinforcement Learning Fan Yao Renqin Cai Hongning Wang 17 11 0 14 Feb 2021
Learning Aggregation Functions Giovanni Pellegrini Alessandro Tibo P. Frasconi Andrea Passerini M. Jaeger FedML 6 19 0 15 Dec 2020
SE(3)-Transformers: 3D Roto-Translation Equivariant Attention Networks F. Fuchs Daniel E. Worrall Volker Fischer Max Welling 3DPC 17 655 0 18 Jun 2020
A Gentle Introduction to Deep Learning for Graphs D. Bacciu Federico Errica A. Micheli Marco Podda AI4CE GNN 32 276 0 29 Dec 2019
On the Equivalence between Positional Node Embeddings and Structural Graph Representations Balasubramaniam Srinivasan Bruno Ribeiro 12 27 0 01 Oct 2019
Set Functions for Time Series Max Horn Michael Moor Christian Bock Bastian Alexander Rieck Karsten M. Borgwardt AI4TS 14 143 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 17 12 0 12 Jul 2019