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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
Bayesian Adaptive Calibration and Optimal Design
Bayesian Adaptive Calibration and Optimal DesignNeural Information Processing Systems (NeurIPS), 2024
Rafael Oliveira
Dino Sejdinovic
David Howard
Edwin Bonilla
517
0
0
20 Jan 2025
PeFLL: Personalized Federated Learning by Learning to Learn
PeFLL: Personalized Federated Learning by Learning to LearnInternational Conference on Learning Representations (ICLR), 2023
Jonathan Scott
Hossein Zakerinia
Christoph H. Lampert
FedML
652
32
0
17 Jan 2025
Dynami-CAL GraphNet: A Physics-Informed Graph Neural Network Conserving Linear and Angular Momentum for Dynamical Systems
Dynami-CAL GraphNet: A Physics-Informed Graph Neural Network Conserving Linear and Angular Momentum for Dynamical Systems
Vinay Sharma
Olga Fink
AI4CE
251
4
0
13 Jan 2025
Hierarchical Reinforcement Learning for Optimal Agent Grouping in Cooperative Systems
Hierarchical Reinforcement Learning for Optimal Agent Grouping in Cooperative Systems
Liyuan Hu
179
0
0
11 Jan 2025
Enhancing Unsupervised Graph Few-shot Learning via Set Functions and Optimal Transport
Enhancing Unsupervised Graph Few-shot Learning via Set Functions and Optimal TransportKnowledge Discovery and Data Mining (KDD), 2025
Yuqi Liu
Fausto Giunchiglia
Ximing Li
Lan Huang
Xiaoyue Feng
Renchu Guan
OffRL
732
2
0
10 Jan 2025
Neural Architecture Codesign for Fast Physics Applications
Neural Architecture Codesign for Fast Physics Applications
Jason Weitz
Dmitri Demler
Luke McDermott
Nhan Tran
Javier Mauricio Duarte
AI4CE
140
7
0
09 Jan 2025
Machine learning models for Si nanoparticle growth in nonthermal plasmaPlasma Sources Science & Technology (PSST), 2024
Matt Raymond
Paolo Elvati
Jacob C. Saldinger
Jonathan Lin
Xuetao Shi
Angela Violi
246
1
0
03 Jan 2025
Rethinking Addressing in Language Models via Contexualized Equivariant Positional Encoding
Rethinking Addressing in Language Models via Contexualized Equivariant Positional Encoding
Jiajun Zhu
Peihao Wang
Ruisi Cai
Jason D. Lee
Pan Li
Liang Luo
KELM
371
5
0
01 Jan 2025
Line Graph Vietoris-Rips Persistence Diagram for Topological Graph
  Representation Learning
Line Graph Vietoris-Rips Persistence Diagram for Topological Graph Representation Learning
Jaesun Shin
Eunjoo Jeon
Taewon Cho
Namkyeong Cho
Youngjune Gwon
270
0
0
23 Dec 2024
Aspect-Based Few-Shot Learning
Aspect-Based Few-Shot LearningIFIP Working Conference on Database Semantics (IWDS), 2024
Tim van Engeland
Lu Yin
Vlado Menkovski
303
0
0
17 Dec 2024
Learning Set Functions with Implicit Differentiation
Learning Set Functions with Implicit DifferentiationAAAI Conference on Artificial Intelligence (AAAI), 2024
Gözde Özcan
Chengzhi Shi
Stratis Ioannidis
288
0
0
15 Dec 2024
siForest: Detecting Network Anomalies with Set-Structured Isolation
  Forest
siForest: Detecting Network Anomalies with Set-Structured Isolation ForestInternational Conference on Multimodal Interaction (ICMI), 2024
Christie Djidjev
138
4
0
08 Dec 2024
Hierarchical Prompt Decision Transformer: Improving Few-Shot Policy
  Generalization with Global and Adaptive Guidance
Hierarchical Prompt Decision Transformer: Improving Few-Shot Policy Generalization with Global and Adaptive GuidanceThe Web Conference (WWW), 2024
Zhe Wang
Haozhu Wang
Yanjun Qi
OffRL
372
1
0
01 Dec 2024
Hard-Label Black-Box Attacks on 3D Point Clouds
Hard-Label Black-Box Attacks on 3D Point Clouds
Daizong Liu
Yunbo Tao
Pan Zhou
Wei Hu
3DPC
417
7
0
30 Nov 2024
Multigraph Message Passing with Bi-Directional Multi-Edge Aggregations
H. Çağrı Bilgi
Lydia Y. Chen
Kubilay Atasu
364
1
0
29 Nov 2024
Twisted Convolutional Networks (TCNs): Enhancing Feature Interactions for Non-Spatial Data Classification
Junbo Jacob Lian
Haoran Chen
Kaichen Ouyang
Yujun Zhang
Rui Zhong
Huiling Chen
163
0
0
29 Nov 2024
A Generalized Unified Skew-Normal Process with Neural Bayes Inference
A Generalized Unified Skew-Normal Process with Neural Bayes Inference
Kesen Wang
M. Genton
SyDa
659
0
0
26 Nov 2024
On the Reconstruction of Training Data from Group Invariant Networks
On the Reconstruction of Training Data from Group Invariant Networks
Ran Elbaz
Gilad Yehudai
Meirav Galun
Haggai Maron
245
0
0
25 Nov 2024
Equivariant Graph Network Approximations of High-Degree Polynomials for
  Force Field Prediction
Equivariant Graph Network Approximations of High-Degree Polynomials for Force Field Prediction
Zhao Xu
Haiyang Yu
Montgomery Bohde
Shuiwang Ji
286
6
0
06 Nov 2024
Can Graph Neural Networks Expose Training Data Properties? An Efficient
  Risk Assessment Approach
Can Graph Neural Networks Expose Training Data Properties? An Efficient Risk Assessment ApproachNeural Information Processing Systems (NeurIPS), 2024
Hanyang Yuan
Jiarong Xu
Renhong Huang
Mingli Song
Chunping Wang
Yang Yang
AAML
211
2
0
06 Nov 2024
Adaptive Residual Transformation for Enhanced Feature-Based OOD
  Detection in SAR Imagery
Adaptive Residual Transformation for Enhanced Feature-Based OOD Detection in SAR Imagery
Kyung-Hwan Lee
Kyung-Tae Kim
216
2
0
01 Nov 2024
A Lorentz-Equivariant Transformer for All of the LHC
A Lorentz-Equivariant Transformer for All of the LHC
Johann Brehmer
Victor Bresó
P. D. Haan
Tilman Plehn
Huilin Qu
Jonas Spinner
Jesse Thaler
BDL
346
49
0
01 Nov 2024
Optimal Equivariant Architectures from the Symmetries of Matrix-Element
  Likelihoods
Optimal Equivariant Architectures from the Symmetries of Matrix-Element Likelihoods
Daniel Maître
Vishal S. Ngairangbam
M. Spannowsky
182
10
0
24 Oct 2024
Entity-based Reinforcement Learning for Autonomous Cyber Defence
Entity-based Reinforcement Learning for Autonomous Cyber Defence
Isaac Symes Thompson
Alberto Caron
Chris Hicks
V. Mavroudis
AAML
556
5
0
23 Oct 2024
Learning Fair and Preferable Allocations through Neural Network
Learning Fair and Preferable Allocations through Neural NetworkAdaptive Agents and Multi-Agent Systems (AAMAS), 2024
Ryota Maruo
Koh Takeuchi
Hisashi Kashima
316
0
0
23 Oct 2024
LAC: Graph Contrastive Learning with Learnable Augmentation in
  Continuous Space
LAC: Graph Contrastive Learning with Learnable Augmentation in Continuous Space
Zhenyu Lin
Hongzheng Li
Yingxia Shao
Guanhua Ye
Yawen Li
Quanqing Xu
243
0
0
20 Oct 2024
Conditional Uncertainty Quantification for Tensorized Topological Neural
  Networks
Conditional Uncertainty Quantification for Tensorized Topological Neural Networks
Yujia Wu
Bo Yang
Yang Zhao
Elynn Chen
Yuzhou Chen
Zheshi Zheng
213
3
0
20 Oct 2024
Amortized Probabilistic Conditioning for Optimization, Simulation and Inference
Amortized Probabilistic Conditioning for Optimization, Simulation and InferenceInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Paul E. Chang
Nasrulloh Loka
Daolang Huang
Ulpu Remes
Samuel Kaski
Luigi Acerbi
AI4CE
395
17
0
20 Oct 2024
On the Regularization of Learnable Embeddings for Time Series Forecasting
On the Regularization of Learnable Embeddings for Time Series Forecasting
L. Butera
G. Felice
Andrea Cini
Cesare Alippi
AI4TS
361
0
0
18 Oct 2024
Encoding architecture algebra
Encoding architecture algebra
Stephane Bersier
Xinyi Chen-Lin
AI4CE
185
0
0
15 Oct 2024
Mitigating Suboptimality of Deterministic Policy Gradients in Complex Q-functions
Mitigating Suboptimality of Deterministic Policy Gradients in Complex Q-functions
Ayush Jain
Norio Kosaka
Xinhu Li
Kyung-Min Kim
Erdem Bıyık
Joseph J. Lim
OffRL
243
2
0
15 Oct 2024
Are High-Degree Representations Really Unnecessary in Equivariant Graph Neural Networks?
Are High-Degree Representations Really Unnecessary in Equivariant Graph Neural Networks?Neural Information Processing Systems (NeurIPS), 2024
Jiacheng Cen
Anyi Li
Ning Lin
Yuxiang Ren
Zihe Wang
Wenbing Huang
438
17
0
15 Oct 2024
Towards Stable, Globally Expressive Graph Representations with Laplacian
  Eigenvectors
Towards Stable, Globally Expressive Graph Representations with Laplacian Eigenvectors
Junru Zhou
Cai Zhou
Xiyuan Wang
Pan Li
Muhan Zhang
287
1
0
13 Oct 2024
On Divergence Measures for Training GFlowNets
On Divergence Measures for Training GFlowNetsNeural Information Processing Systems (NeurIPS), 2024
Tiago da Silva
Eliezer de Souza da Silva
Diego Mesquita
BDL
407
4
0
12 Oct 2024
Scalable Signature-Based Distribution Regression via Reference Sets
Scalable Signature-Based Distribution Regression via Reference Sets
Andrew Alden
Carmine Ventre
Blanka Horvath
301
1
0
11 Oct 2024
DeepOSets: Non-Autoregressive In-Context Learning with Permutation-Invariance Inductive Bias
DeepOSets: Non-Autoregressive In-Context Learning with Permutation-Invariance Inductive Bias
Shao-Ting Chiu
Junyuan Hong
Ulisses Braga-Neto
BDL
313
2
0
11 Oct 2024
Identifying Money Laundering Subgraphs on the Blockchain
Identifying Money Laundering Subgraphs on the BlockchainInternational Conference on AI in Finance (ICAF), 2024
Kiwhan Song
Mohamed Ali Dhraief
Muhua Xu
Locke Cai
Xuhao Chen
Arvind
Jie Chen
149
4
0
10 Oct 2024
Deep Generative Quantile Bayes
Deep Generative Quantile BayesInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Jungeum Kim
Percy S. Zhai
Veronika Rockova
403
1
0
10 Oct 2024
Revisiting Multi-Permutation Equivariance through the Lens of Irreducible Representations
Revisiting Multi-Permutation Equivariance through the Lens of Irreducible RepresentationsInternational Conference on Learning Representations (ICLR), 2024
Yonatan Sverdlov
Ido Springer
Nadav Dym
449
2
0
09 Oct 2024
Timer-XL: Long-Context Transformers for Unified Time Series Forecasting
Timer-XL: Long-Context Transformers for Unified Time Series ForecastingInternational Conference on Learning Representations (ICLR), 2024
Yong Liu
Guo Qin
Xiangdong Huang
Jianmin Wang
Mingsheng Long
AI4TS
333
38
0
07 Oct 2024
DeepLTL: Learning to Efficiently Satisfy Complex LTL Specifications for Multi-Task RL
DeepLTL: Learning to Efficiently Satisfy Complex LTL Specifications for Multi-Task RLInternational Conference on Learning Representations (ICLR), 2024
Mathias Jackermeier
Alessandro Abate
OffRL
393
10
0
06 Oct 2024
Regularized Neural Ensemblers
Regularized Neural Ensemblers
Sebastian Pineda Arango
Maciej Janowski
Lennart Purucker
Arber Zela
Frank Hutter
Josif Grabocka
UQCV
301
0
0
06 Oct 2024
Estimating Body and Hand Motion in an Ego-sensed World
Estimating Body and Hand Motion in an Ego-sensed WorldComputer Vision and Pattern Recognition (CVPR), 2024
Brent Yi
Vickie Ye
Maya Zheng
Lea Müller
Georgios Pavlakos
Yi Ma
Jitendra Malik
Angjoo Kanazawa
DiffM
261
27
0
04 Oct 2024
Can LLMs Generate Diverse Molecules? Towards Alignment with Structural
  Diversity
Can LLMs Generate Diverse Molecules? Towards Alignment with Structural Diversity
Hyosoon Jang
Yunhui Jang
Jaehyung Kim
SungSoo Ahn
211
7
0
04 Oct 2024
SPHINX: Structural Prediction using Hypergraph Inference Network
SPHINX: Structural Prediction using Hypergraph Inference Network
Iulia Duta
Pietro Lio
325
2
0
04 Oct 2024
Recovering Time-Varying Networks From Single-Cell Data
Recovering Time-Varying Networks From Single-Cell Data
Euxhen Hasanaj
Barnabás Póczos
Ziv Bar-Joseph
AI4CE
162
1
0
01 Oct 2024
Softmax is not Enough (for Sharp Size Generalisation)
Softmax is not Enough (for Sharp Size Generalisation)
Petar Velickovic
Christos Perivolaropoulos
Federico Barbero
Razvan Pascanu
410
19
0
01 Oct 2024
What If We Had Used a Different App? Reliable Counterfactual KPI Analysis in Wireless Systems
What If We Had Used a Different App? Reliable Counterfactual KPI Analysis in Wireless SystemsIEEE Transactions on Cognitive Communications and Networking (IEEE TCCN), 2024
Qiushuo Hou
Sangwoo Park
Matteo Zecchin
Yunlong Cai
Guanding Yu
Osvaldo Simeone
933
3
0
30 Sep 2024
MARLadona -- Towards Cooperative Team Play Using Multi-Agent
  Reinforcement Learning
MARLadona -- Towards Cooperative Team Play Using Multi-Agent Reinforcement LearningIEEE International Conference on Robotics and Automation (ICRA), 2024
Zichong Li
Filip Bjelonic
Victor Klemm
Marco Hutter
258
9
0
30 Sep 2024
SetPINNs: Set-based Physics-informed Neural Networks
SetPINNs: Set-based Physics-informed Neural Networks
Mayank Nagda
Phil Ostheimer
Thomas Specht
Frank Rhein
Fabian Jirasek
Stephan Mandt
Marius Kloft
Sophie Fellenz
PINN3DPC
658
2
0
30 Sep 2024
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