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1703.06114
Cited By

Deep Sets

v1v2v3 (latest)

Deep Sets

10 March 2017

Siamak Ravanbakhsh

Barnabás Póczós

Ruslan Salakhutdinov

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Papers citing "Deep Sets"

50 / 1,555 papers shown

Categorical Equivariant Deep Learning: Category-Equivariant Neural Networks and Universal Approximation Theorems

Categorical Equivariant Deep Learning: Category-Equivariant Neural Networks and Universal Approximation Theorems

Yoshihiro Maruyama

163

0

0

24 Dec 2025

On the Approximation of Phylogenetic Distance Functions by Artificial Neural Networks

On the Approximation of Phylogenetic Distance Functions by Artificial Neural Networks

Benjamin K. Rosenzweig

Matthew W. Hahn

56

0

0

01 Dec 2025

GED-Consistent Disentanglement of Aligned and Unaligned Substructures for Graph Similarity Learning

GED-Consistent Disentanglement of Aligned and Unaligned Substructures for Graph Similarity Learning

127

0

0

25 Nov 2025

MIST: Mutual Information Via Supervised Training

MIST: Mutual Information Via Supervised Training

303

0

0

24 Nov 2025

When Structure Doesn't Help: LLMs Do Not Read Text-Attributed Graphs as Effectively as We Expected

When Structure Doesn't Help: LLMs Do Not Read Text-Attributed Graphs as Effectively as We Expected

115

0

0

20 Nov 2025

SURFing to the Fundamental Limit of Jet Tagging

Gregor Kasieczka

111

1

0

19 Nov 2025

On the Brittleness of LLMs: A Journey around Set Membership

On the Brittleness of LLMs: A Journey around Set Membership

186

0

0

16 Nov 2025

On the Dimension-Free Approximation of Deep Neural Networks for Symmetric Korobov Functions

On the Dimension-Free Approximation of Deep Neural Networks for Symmetric Korobov Functions

92

0

0

16 Nov 2025

An Evaluation of Representation Learning Methods in Particle Physics Foundation Models

An Evaluation of Representation Learning Methods in Particle Physics Foundation Models

148

0

0

16 Nov 2025

SafeMIL: Learning Offline Safe Imitation Policy from Non-Preferred Trajectories

SafeMIL: Learning Offline Safe Imitation Policy from Non-Preferred Trajectories

Returaj Burnwal

Balaraman Ravindran

369

0

0

11 Nov 2025

Resilience Inference for Supply Chains with Hypergraph Neural Network

Resilience Inference for Supply Chains with Hypergraph Neural Network

98

0

0

09 Nov 2025

Breaking the Modality Barrier: Generative Modeling for Accurate Molecule Retrieval from Mass Spectra

Breaking the Modality Barrier: Generative Modeling for Accurate Molecule Retrieval from Mass Spectra

64

0

0

09 Nov 2025

Parametric Pareto Set Learning for Expensive Multi-Objective Optimization

Parametric Pareto Set Learning for Expensive Multi-Objective Optimization

103

1

0

08 Nov 2025

Toward Better Generalization in Few-Shot Learning through the Meta-Component Combination

Toward Better Generalization in Few-Shot Learning through the Meta-Component Combination

108

0

0

07 Nov 2025

Context-aware Learned Mesh-based Simulation via Trajectory-Level Meta-Learning

Context-aware Learned Mesh-based Simulation via Trajectory-Level Meta-Learning

Philipp Dahlinger

Niklas Freymuth

Gerhard Neumann

272

0

0

07 Nov 2025

Scalable Single-Cell Gene Expression Generation with Latent Diffusion Models

Scalable Single-Cell Gene Expression Generation with Latent Diffusion Models

Payam Dibaeinia

James D. Pearce

Theofanis Karaletsos

Jakub M. Tomczak

176

0

0

04 Nov 2025

Positive Semi-definite Latent Factor Grouping-Boosted Cluster-reasoning Instance Disentangled Learning for WSI Representation

Positive Semi-definite Latent Factor Grouping-Boosted Cluster-reasoning Instance Disentangled Learning for WSI Representation

Behzad Bozorgtabar

251

0

0

03 Nov 2025

Learning with Category-Equivariant Representations for Human Activity Recognition

Learning with Category-Equivariant Representations for Human Activity Recognition

Yoshihiro Maruyama

158

1

0

02 Nov 2025

A Framework Based on Graph Cellular Automata for Similarity Evaluation in Urban Spatial Networks

A Framework Based on Graph Cellular Automata for Similarity Evaluation in Urban Spatial Networks

123

0

0

02 Nov 2025

MetaCaDI: A Meta-Learning Framework for Scalable Causal Discovery with Unknown Interventions

MetaCaDI: A Meta-Learning Framework for Scalable Causal Discovery with Unknown Interventions

Hans Jarett Ong

Yoichi Chikahara

184

0

0

25 Oct 2025

Monotone and Separable Set Functions: Characterizations and Neural Models

Monotone and Separable Set Functions: Characterizations and Neural Models

Soutrik Sarangi

Yonatan Sverdlov

73

0

0

24 Oct 2025

Equivariance by Contrast: Identifiable Equivariant Embeddings from Unlabeled Finite Group Actions

Equivariance by Contrast: Identifiable Equivariant Embeddings from Unlabeled Finite Group Actions

Steffen Schneider

Matthias Bethge

133

0

0

24 Oct 2025

Spatially Aware Linear Transformer (SAL-T) for Particle Jet Tagging

Spatially Aware Linear Transformer (SAL-T) for Particle Jet Tagging

Vivekanand Sahu

Richard Cavanaugh

Javier Mauricio Duarte

103

1

0

24 Oct 2025

ITC-RWKV: Interactive Tissue-Cell Modeling with Recurrent Key-Value Aggregation for Histopathological Subtyping

ITC-RWKV: Interactive Tissue-Cell Modeling with Recurrent Key-Value Aggregation for Histopathological Subtyping

123

0

0

24 Oct 2025

On Uncertainty Calibration for Equivariant Functions

On Uncertainty Calibration for Equivariant Functions

271

0

0

24 Oct 2025

On the Provable Importance of Gradients for Language-Assisted Image Clustering

On the Provable Importance of Gradients for Language-Assisted Image Clustering

146

0

0

18 Oct 2025

Symmetry and Generalisation in Neural Approximations of Renormalisation Transformations

Symmetry and Generalisation in Neural Approximations of Renormalisation Transformations

Cassidy Ashworth

109

0

0

18 Oct 2025

Disentangling Hyperedges through the Lens of Category Theory

Disentangling Hyperedges through the Lens of Category Theory

134

0

0

18 Oct 2025

On Universality of Deep Equivariant Networks

On Universality of Deep Equivariant Networks

Mircea Petrache

Shubhendu Trivedi

97

1

0

17 Oct 2025

Universally Invariant Learning in Equivariant GNNs

Universally Invariant Learning in Equivariant GNNs

149

1

0

15 Oct 2025

GammaZero: Learning To Guide POMDP Belief Space Search With Graph Representations

GammaZero: Learning To Guide POMDP Belief Space Search With Graph Representations

Rajesh Mangannavar

Prasad Tadepalli

94

1

0

15 Oct 2025

Axial Neural Networks for Dimension-Free Foundation Models

Axial Neural Networks for Dimension-Free Foundation Models

174

0

0

15 Oct 2025

Efficient Inference for Coupled Hidden Markov Models in Continuous Time and Discrete Space

Efficient Inference for Coupled Hidden Markov Models in Continuous Time and Discrete Space

Giosue Migliorini

105

0

0

14 Oct 2025

Neuron-Level Analysis of Cultural Understanding in Large Language Models

Neuron-Level Analysis of Cultural Understanding in Large Language Models

Taisei Yamamoto

Danushka Bollegala

168

0

0

09 Oct 2025

Next Semantic Scale Prediction via Hierarchical Diffusion Language Models

Next Semantic Scale Prediction via Hierarchical Diffusion Language Models

142

0

0

08 Oct 2025

MaNGO - Adaptable Graph Network Simulators via Meta-Learning

MaNGO - Adaptable Graph Network Simulators via Meta-Learning

Philipp Dahlinger

Niklas Freymuth

Gerhard Neumann

233

1

0

07 Oct 2025

When Does Global Attention Help? A Unified Empirical Study on Atomistic Graph Learning

When Does Global Attention Help? A Unified Empirical Study on Atomistic Graph Learning

Arindam Chowdhury

Massimiliano Lupo Pasini

115

0

0

07 Oct 2025

Efficient Conditional Generation on Scale-based Visual Autoregressive Models

Efficient Conditional Generation on Scale-based Visual Autoregressive Models

198

0

0

07 Oct 2025

Domain Generalization: A Tale of Two ERMs

Domain Generalization: A Tale of Two ERMs

Aditya Gangrade

111

0

0

06 Oct 2025

Task-Level Contrastiveness for Cross-Domain Few-Shot Learning

Task-Level Contrastiveness for Cross-Domain Few-Shot Learning

Kristi Topollai

A. Choromańska

128

0

0

03 Oct 2025

On The Expressive Power of GNN Derivatives

On The Expressive Power of GNN Derivatives

Fabrizio Frasca

185

0

0

02 Oct 2025

Unlocking Symbol-Level Precoding Efficiency Through Tensor Equivariant Neural Network

Unlocking Symbol-Level Precoding Efficiency Through Tensor Equivariant Neural Network

Symeon Chatzinotas

Björn E. Ottersten

107

0

0

02 Oct 2025

LEAP: Local ECT-Based Learnable Positional Encodings for Graphs

LEAP: Local ECT-Based Learnable Positional Encodings for Graphs

Patrick Schnider

94

1

0

01 Oct 2025

Deep set based operator learning with uncertainty quantification

Deep set based operator learning with uncertainty quantification

138

0

0

30 Sep 2025

Robust Federated Inference

Robust Federated Inference

Sadegh Farhadkhani

Maxime Jacovella

Anne-Marie Kermarrec

271

0

0

30 Sep 2025

Adaptive Canonicalization with Application to Invariant Anisotropic Geometric Networks

Adaptive Canonicalization with Application to Invariant Anisotropic Geometric Networks

Ya-Wei Eileen Lin

224

0

0

29 Sep 2025

FS-KAN: Permutation Equivariant Kolmogorov-Arnold Networks via Function Sharing

FS-KAN: Permutation Equivariant Kolmogorov-Arnold Networks via Function Sharing

Fabrizio Frasca

132

0

0

29 Sep 2025

$Fast Feature Field ($\text{F}^3$): A Predictive Representation of Events$

Fast Feature Field (

\text{F}^3

): A Predictive Representation of Events

Kostas Daniilidis

Pratik Chaudhari

204

0

0

29 Sep 2025

DPsurv: Dual-Prototype Evidential Fusion for Uncertainty-Aware and Interpretable Whole-Slide Image Survival Prediction

DPsurv: Dual-Prototype Evidential Fusion for Uncertainty-Aware and Interpretable Whole-Slide Image Survival Prediction

156

0

0

28 Sep 2025

On the Capacity of Self-Attention

On the Capacity of Self-Attention

193

0

0

26 Sep 2025

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