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Deep Sets
v1v2v3 (latest)

Deep Sets

10 March 2017
Manzil Zaheer
Satwik Kottur
Siamak Ravanbakhsh
Barnabás Póczós
Ruslan Salakhutdinov
Alex Smola
ArXiv (abs)PDFHTML

Papers citing "Deep Sets"

50 / 1,555 papers shown
Learning the Neighborhood: Contrast-Free Multimodal Self-Supervised Molecular Graph Pretraining
Learning the Neighborhood: Contrast-Free Multimodal Self-Supervised Molecular Graph Pretraining
Boshra Ariguib
Mathias Niepert
Andrei Manolache
SSL
179
0
0
26 Sep 2025
Convolutional Set Transformer
Convolutional Set Transformer
Federico Chinello
Giacomo Boracchi
ViT
96
0
0
26 Sep 2025
Learning Equivariant Functions via Quadratic Forms
Learning Equivariant Functions via Quadratic Forms
Pavan Karjol
Vivek Kashyap
Rohan Kashyap
Prathosh A P
200
0
0
26 Sep 2025
Physics-informed GNN for medium-high voltage AC power flow with edge-aware attention and line search correction operator
Physics-informed GNN for medium-high voltage AC power flow with edge-aware attention and line search correction operator
Changhun Kim
Timon Conrad
R. Karim
Julian Oelhaf
David Riebesel
T. Arias-Vergara
Andreas Maier
Johann Jager
Siming Bayer
122
0
0
26 Sep 2025
On the Capacity of Self-Attention
On the Capacity of Self-Attention
Micah Adler
193
0
0
26 Sep 2025
GraphUniverse: Enabling Systematic Evaluation of Inductive Generalization
GraphUniverse: Enabling Systematic Evaluation of Inductive Generalization
Louis Van Langendonck
Guillermo Bernardez
Nina Miolane
Pere Barlet-Ros
119
0
0
25 Sep 2025
Hierarchical Self-Attention: Generalizing Neural Attention Mechanics to Multi-Scale Problems
Hierarchical Self-Attention: Generalizing Neural Attention Mechanics to Multi-Scale Problems
Saeed Amizadeh
Sara Abdali
Yinheng Li
K. Koishida
175
0
0
18 Sep 2025
Cluster-Level Sparse Multi-Instance Learning for Whole-Slide Images
Cluster-Level Sparse Multi-Instance Learning for Whole-Slide Images
Yuedi Zhang
Zhixiang Xia
Guosheng Yin
Bin Liu
137
0
0
14 Sep 2025
Parameter estimation with uncertainty quantification from continuous measurement data using neural network ensembles
Parameter estimation with uncertainty quantification from continuous measurement data using neural network ensembles
Amanuel Anteneh
UQCV
159
0
0
12 Sep 2025
Few-Part-Shot Font Generation
Few-Part-Shot Font Generation
Masaki Akiba
Shumpei Takezaki
Daichi Haraguchi
Seiichi Uchida
140
0
0
12 Sep 2025
Vejde: A Framework for Inductive Deep Reinforcement Learning Based on Factor Graph Color Refinement
Vejde: A Framework for Inductive Deep Reinforcement Learning Based on Factor Graph Color Refinement
Jakob Nyberg
Pontus Johnson
OffRL
117
0
0
11 Sep 2025
Towards Cognitively-Faithful Decision-Making Models to Improve AI Alignment
Towards Cognitively-Faithful Decision-Making Models to Improve AI Alignment
Cyrus Cousins
Vijay Keswani
Vincent Conitzer
Hoda Heidari
Jana Schaich Borg
Walter Sinnott-Armstrong
153
1
0
04 Sep 2025
Differentiable Entropy Regularization: A Complexity-Aware Approach for Neural Optimization
Differentiable Entropy Regularization: A Complexity-Aware Approach for Neural Optimization
Ibne Farabi Shihab
Sanjeda Akter
Anuj Sharma
AAML
80
0
0
03 Sep 2025
What Expressivity Theory Misses: Message Passing Complexity for GNNs
What Expressivity Theory Misses: Message Passing Complexity for GNNs
Niklas Kemper
Tom Wollschlager
Stephan Günnemann
207
0
0
01 Sep 2025
Learn to Jump: Adaptive Random Walks for Long-Range Propagation through Graph Hierarchies
Learn to Jump: Adaptive Random Walks for Long-Range Propagation through Graph Hierarchies
Joël Mathys
Federico Errica
100
0
0
01 Sep 2025
Adaptive Point-Prompt Tuning: Fine-Tuning Heterogeneous Foundation Models for 3D Point Cloud Analysis
Adaptive Point-Prompt Tuning: Fine-Tuning Heterogeneous Foundation Models for 3D Point Cloud Analysis
Mengke Li
Lihao Chen
Peng Zhang
Yiu-ming Cheung
Hui Huang
172
0
0
30 Aug 2025
Towards Trustworthy Amortized Bayesian Model Comparison
Towards Trustworthy Amortized Bayesian Model Comparison
Šimon Kucharský
Aayush Mishra
Daniel Habermann
Stefan T. Radev
Paul-Christian Bürkner
125
1
0
28 Aug 2025
Probabilistic Pretraining for Neural Regression
Probabilistic Pretraining for Neural Regression
Boris N. Oreshkin
Shiv Tavker
Dmitry Efimov
UQCVBDL
183
0
0
22 Aug 2025
JEDI-linear: Fast and Efficient Graph Neural Networks for Jet Tagging on FPGAs
JEDI-linear: Fast and Efficient Graph Neural Networks for Jet Tagging on FPGAs
Zhiqiang Que
Chang Sun
Sudarshan Paramesvaran
Emyr Clement
Katerina Karakoulaki
...
Lauri Laatu
Arianna Cox
A. Tapper
Wayne Luk
M. Spiropulu
GNN
122
7
0
21 Aug 2025
CIGaRS I: Combined simulation-based inference from SNae Ia and host photometry
CIGaRS I: Combined simulation-based inference from SNae Ia and host photometry
Konstantin Karchev
Roberto Trotta
Raul Jimenez
196
0
0
21 Aug 2025
Machine Learning H-theorem
Machine Learning H-theorem
Ruben Lier
100
0
0
19 Aug 2025
CLIPSym: Delving into Symmetry Detection with CLIP
CLIPSym: Delving into Symmetry Detection with CLIP
Tinghan Yang
Md Ashiqur Rahman
Raymond A. Yeh
124
0
0
19 Aug 2025
Local Scale Equivariance with Latent Deep Equilibrium Canonicalizer
Local Scale Equivariance with Latent Deep Equilibrium Canonicalizer
Md Ashiqur Rahman
Chiao-An Yang
Michael N. Cheng
Lim Jun Hao
Jeremiah Jiang
Teck-Yian Lim
Raymond A. Yeh
BDL
151
0
0
19 Aug 2025
Compressive Meta-Learning
Compressive Meta-Learning
D. M. Montserrat
David Bonet
Maria Perera
Xavier Giró-i-Nieto
A. Ioannidis
88
0
0
14 Aug 2025
Abundance-Aware Set Transformer for Microbiome Sample Embedding
Abundance-Aware Set Transformer for Microbiome Sample Embedding
Hyunwoo Yoo
G. Rosen
MedImViT
53
0
0
14 Aug 2025
Symmetry-Constrained Multi-Scale Physics-Informed Neural Networks for Graphene Electronic Band Structure Prediction
Symmetry-Constrained Multi-Scale Physics-Informed Neural Networks for Graphene Electronic Band Structure Prediction
Wei Shan Lee
I Hang Kwok
Kam Ian Leong
Chi Kiu Althina Chau
Kei Chon Sio
AI4CE
84
0
0
14 Aug 2025
Centralized Permutation Equivariant Policy for Cooperative Multi-Agent Reinforcement Learning
Centralized Permutation Equivariant Policy for Cooperative Multi-Agent Reinforcement Learning
Zhuofan Xu
B. Bollig
Matthias Függer
Thomas Nowak
Vincent Le Dréau
OffRL
65
0
0
13 Aug 2025
Towards Universal Neural Inference
Towards Universal Neural Inference
Shreyas Bhat Brahmavar
Yang Li
Junier B. Oliva
OOD
152
0
0
12 Aug 2025
GaitSnippet: Gait Recognition Beyond Unordered Sets and Ordered Sequences
GaitSnippet: Gait Recognition Beyond Unordered Sets and Ordered Sequences
Saihui Hou
Chenye Wang
Wenpeng Lang
Zhengxiang Lan
Yongzhen Huang
CVBM
103
0
0
11 Aug 2025
Masked Omics Modeling for Multimodal Representation Learning across Histopathology and Molecular Profiles
Masked Omics Modeling for Multimodal Representation Learning across Histopathology and Molecular Profiles
Lucas Robinet
Ahmad Berjaoui
Elizabeth Cohen-Jonathan Moyal
174
0
0
01 Aug 2025
Parametrized Multi-Agent Routing via Deep Attention Models
Parametrized Multi-Agent Routing via Deep Attention Models
S. Basiri
Dhananjay Tiwari
S. Salapaka
143
1
0
30 Jul 2025
Multi-state Protein Design with DynamicMPNN
Multi-state Protein Design with DynamicMPNN
Alex Abrudan
Sebastian Pujalte Ojeda
Chaitanya K. Joshi
Matthew Greenig
Felipe Engelberger
Alena Khmelinskaia
Jens Meiler
Michele Vendruscolo
Tuomas P. J. Knowles
115
2
0
29 Jul 2025
CosmoBench: A Multiscale, Multiview, Multitask Cosmology Benchmark for Geometric Deep Learning
CosmoBench: A Multiscale, Multiview, Multitask Cosmology Benchmark for Geometric Deep Learning
Ningyuan Huang
Richard Stiskalek
Jun-Young Lee
Adrian E Bayer
C. Margossian
C. K. Jespersen
L. A. Perez
Lawrence K. Saul
F. Villaescusa-Navarro
3DPC
168
2
0
04 Jul 2025
GradMetaNet: An Equivariant Architecture for Learning on Gradients
GradMetaNet: An Equivariant Architecture for Learning on Gradients
Yoav Gelberg
Yam Eitan
Aviv Navon
Aviv Shamsian
Theo
Putterman
Michael M. Bronstein
Haggai Maron
220
2
0
02 Jul 2025
End-to-End Large Portfolio Optimization for Variance Minimization with Neural Networks through Covariance Cleaning
End-to-End Large Portfolio Optimization for Variance Minimization with Neural Networks through Covariance Cleaning
Christian Bongiorno
Efstratios Manolakis
Rosario Nunzio Mantegna
194
3
0
02 Jul 2025
Equivariance Everywhere All At Once: A Recipe for Graph Foundation Models
Equivariance Everywhere All At Once: A Recipe for Graph Foundation Models
Ben Finkelshtein
.Ismail .Ilkan Ceylan
Michael M. Bronstein
Ron Levie
337
10
0
17 Jun 2025
Understanding Learning Invariance in Deep Linear Networks
Understanding Learning Invariance in Deep Linear Networks
Hao Duan
Guido Montúfar
246
1
0
16 Jun 2025
Learning Equivariant Models by Discovering Symmetries with Learnable Augmentations
Learning Equivariant Models by Discovering Symmetries with Learnable Augmentations
Eduardo Santos Escriche
Stefanie Jegelka
300
1
0
04 Jun 2025
Weisfeiler and Leman Go Gambling: Why Expressive Lottery Tickets Win
Weisfeiler and Leman Go Gambling: Why Expressive Lottery Tickets Win
Lorenz Kummer
Samir Moustafa
Anatol Ehrlich
Franka Bause
Nikolaus Suess
Wilfried Gansterer
Nils M. Kriege
209
0
0
04 Jun 2025
On Universality Classes of Equivariant Networks
On Universality Classes of Equivariant Networks
Marco Pacini
G. Santin
Bruno Lepri
Shubhendu Trivedi
187
1
0
02 Jun 2025
Constrained Sliced Wasserstein Embedding
Constrained Sliced Wasserstein Embedding
Navid Naderializadeh
Darian Salehi
Hengrong Du
Soheil Kolouri
199
4
0
02 Jun 2025
Long-Tailed Visual Recognition via Permutation-Invariant Head-to-Tail Feature Fusion
Long-Tailed Visual Recognition via Permutation-Invariant Head-to-Tail Feature Fusion
Mengke Li
Zhikai Hu
Yang Lu
Weichao Lan
Yiu-ming Cheung
Hui Huang
151
0
0
31 May 2025
Simplifying Bayesian Optimization Via In-Context Direct Optimum Sampling
Simplifying Bayesian Optimization Via In-Context Direct Optimum Sampling
Gustavo Sutter Pessurno de Carvalho
Mohammed Abdulrahman
Hao Wang
Sriram Ganapathi Subramanian
Marc St-Aubin
Sharon O'Sullivan
Lawrence Wan
Luis Ricardez-Sandoval
Pascal Poupart
Agustinus Kristiadi
220
1
0
29 May 2025
FOLIAGE: Towards Physical Intelligence World Models Via Unbounded Surface Evolution
FOLIAGE: Towards Physical Intelligence World Models Via Unbounded Surface Evolution
Xiaoyi Liu
Hao Tang
AI4CE
253
1
0
29 May 2025
CoC: Chain-of-Cancer based on Cross-Modal Autoregressive Traction for Survival Prediction
CoC: Chain-of-Cancer based on Cross-Modal Autoregressive Traction for Survival PredictionInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2025
Haipeng Zhou
Sicheng Yang
Sihan Yang
J. Qin
Lei Chen
Lei Zhu
144
2
0
28 May 2025
Origin Tracer: A Method for Detecting LoRA Fine-Tuning Origins in LLMs
Origin Tracer: A Method for Detecting LoRA Fine-Tuning Origins in LLMs
Hongyu Liang
Yuting Zheng
Yihan Li
Yiran Zhang
Shiyu Liang
273
2
0
26 May 2025
On the (Non) Injectivity of Piecewise Linear Janossy Pooling
On the (Non) Injectivity of Piecewise Linear Janossy Pooling
Ilai Reshef
Nadav Dym
298
1
0
26 May 2025
Meta Pruning via Graph Metanetworks : A Universal Meta Learning Framework for Network Pruning
Meta Pruning via Graph Metanetworks : A Universal Meta Learning Framework for Network Pruning
Yewei Liu
Xiyuan Wang
Muhan Zhang
DDGNN
346
0
0
24 May 2025
Governing Equation Discovery from Data Based on Differential Invariants
Governing Equation Discovery from Data Based on Differential Invariants
Lexiang Hu
Yikang Li
Zhouchen Lin
282
0
0
24 May 2025
Generative Distribution Embeddings
Nic Fishman
Gokul Gowri
Peng Yin
Jonathan Gootenberg
Omar Abudayyeh
SyDa
1.2K
0
0
23 May 2025
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