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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 / 1,556 papers shown
Expressive Sign Equivariant Networks for Spectral Geometric Learning
Expressive Sign Equivariant Networks for Spectral Geometric LearningNeural Information Processing Systems (NeurIPS), 2023
Derek Lim
Joshua Robinson
Stefanie Jegelka
Haggai Maron
272
19
0
04 Dec 2023
Deep Set Neural Networks for forecasting asynchronous bioprocess
  timeseries
Deep Set Neural Networks for forecasting asynchronous bioprocess timeseries
M. Borisyak
Stefan Born
Peter Neubauer
M. N. C. Bournazou
BDLAI4TS
206
0
0
04 Dec 2023
Recurrent Distance Filtering for Graph Representation Learning
Recurrent Distance Filtering for Graph Representation LearningInternational Conference on Machine Learning (ICML), 2023
Yuhui Ding
Antonio Orvieto
Bobby He
Thomas Hofmann
GNN
343
13
0
03 Dec 2023
BenchMARL: Benchmarking Multi-Agent Reinforcement Learning
BenchMARL: Benchmarking Multi-Agent Reinforcement LearningJournal of machine learning research (JMLR), 2023
Matteo Bettini
Amanda Prorok
Vincent Moens
OffRL
253
36
0
03 Dec 2023
Learning county from pixels: corn yield prediction with attention-weighted multiple instance learningInternational Journal of Remote Sensing (IJRS), 2023
Xiaoyu Wang
Yuchi Ma
Qunying Huang
Zhengwei Yang
Zhou Zhang
599
2
0
02 Dec 2023
Positional Information Matters for Invariant In-Context Learning: A Case
  Study of Simple Function Classes
Positional Information Matters for Invariant In-Context Learning: A Case Study of Simple Function Classes
Yongqiang Chen
Binghui Xie
Kaiwen Zhou
Bo Han
Yatao Bian
James Cheng
285
3
0
30 Nov 2023
Dynamic Dense Graph Convolutional Network for Skeleton-based Human
  Motion Prediction
Dynamic Dense Graph Convolutional Network for Skeleton-based Human Motion PredictionIEEE Transactions on Image Processing (IEEE TIP), 2023
Xinshun Wang
Wanying Zhang
Can Wang
Yuan Gao
Mengyuan Liu
3DHGNN
299
55
0
29 Nov 2023
Fast Particle-based Anomaly Detection Algorithm with Variational
  Autoencoder
Fast Particle-based Anomaly Detection Algorithm with Variational Autoencoder
Ryan Liu
A. Gandrakota
J. Ngadiuba
M. Spiropulu
J. Vlimant
DRL
127
6
0
28 Nov 2023
Hypernetworks for Generalizable BRDF Representation
Hypernetworks for Generalizable BRDF RepresentationEuropean Conference on Computer Vision (ECCV), 2023
Fazilet Gokbudak
Alejandro Sztrajman
Chenliang Zhou
Fangcheng Zhong
Rafal Mantiuk
Cengiz Öztireli
256
4
0
27 Nov 2023
FRUITS: Feature Extraction Using Iterated Sums for Time Series
  Classification
FRUITS: Feature Extraction Using Iterated Sums for Time Series ClassificationData mining and knowledge discovery (DMKD), 2023
Joscha Diehl
Richard Krieg
AI4TS
144
7
0
24 Nov 2023
Cycle Invariant Positional Encoding for Graph Representation Learning
Cycle Invariant Positional Encoding for Graph Representation LearningLOG IN (LOG IN), 2023
Zuoyu Yan
Teng Ma
Liangcai Gao
Zhi Tang
Chao Chen
Yusu Wang
264
7
0
24 Nov 2023
Set Features for Anomaly Detection
Set Features for Anomaly Detection
Niv Cohen
Issar Tzachor
Yedid Hoshen
460
1
0
24 Nov 2023
Joint-Space Multi-Robot Motion Planning with Learned Decentralized
  Heuristics
Joint-Space Multi-Robot Motion Planning with Learned Decentralized Heuristics
Fengze Xie
Marcus Dominguez-Kuhne
Benjamin Rivière
Jialin Song
Wolfgang Hönig
Soon-Jo Chung
Yisong Yue
101
1
0
21 Nov 2023
MGCT: Mutual-Guided Cross-Modality Transformer for Survival Outcome
  Prediction using Integrative Histopathology-Genomic Features
MGCT: Mutual-Guided Cross-Modality Transformer for Survival Outcome Prediction using Integrative Histopathology-Genomic Features
Mingxin Liu
Yunzan Liu
Hui Cui
Chunquan Li
Jiquan Ma
180
19
0
20 Nov 2023
Fuse It or Lose It: Deep Fusion for Multimodal Simulation-Based
  Inference
Fuse It or Lose It: Deep Fusion for Multimodal Simulation-Based Inference
Marvin Schmitt
Stefan T. Radev
Paul-Christian Bürkner
378
6
0
17 Nov 2023
Imagination-Augmented Hierarchical Reinforcement Learning for Safe and
  Interactive Autonomous Driving in Urban Environments
Imagination-Augmented Hierarchical Reinforcement Learning for Safe and Interactive Autonomous Driving in Urban Environments
Sang-Hyun Lee
Yoonjae Jung
Seung-Woo Seo
160
6
0
17 Nov 2023
Tabular Few-Shot Generalization Across Heterogeneous Feature Spaces
Tabular Few-Shot Generalization Across Heterogeneous Feature Spaces
Max Zhu
Katarzyna Kobalczyk
Andrija Petrović
Mladen Nikolic
M. Schaar
Boris Delibasic
Petro Lio
228
4
0
16 Nov 2023
Two-Stage Aggregation with Dynamic Local Attention for Irregular Time
  Series
Two-Stage Aggregation with Dynamic Local Attention for Irregular Time Series
Xingyu Chen
Xiaochen Zheng
Amina Mollaysa
Manuel Schürch
Ahmed Allam
Michael Krauthammer
AI4TS
232
1
0
13 Nov 2023
ADAMM: Anomaly Detection of Attributed Multi-graphs with Metadata: A
  Unified Neural Network Approach
ADAMM: Anomaly Detection of Attributed Multi-graphs with Metadata: A Unified Neural Network ApproachBigData Congress [Services Society] (BSS), 2023
Konstantinos Sotiropoulos
Lingxiao Zhao
Pierre Jinghong Liang
Leman Akoglu
318
5
0
13 Nov 2023
Going beyond persistent homology using persistent homology
Going beyond persistent homology using persistent homologyNeural Information Processing Systems (NeurIPS), 2023
Johanna Immonen
Amauri H. Souza
Vikas Garg
266
19
0
10 Nov 2023
Compact Matrix Quantum Group Equivariant Neural Networks
Compact Matrix Quantum Group Equivariant Neural Networks
Edward Pearce-Crump
GNN
283
0
0
10 Nov 2023
Latent Task-Specific Graph Network Simulators
Latent Task-Specific Graph Network Simulators
Philipp Dahlinger
Niklas Freymuth
Michael Volpp
Tai Hoang
Gerhard Neumann
AI4CE
303
0
0
09 Nov 2023
Enhancing Instance-Level Image Classification with Set-Level Labels
Enhancing Instance-Level Image Classification with Set-Level Labels
Renyu Zhang
Aly A. Khan
Yuxin Chen
Robert L. Grossman
273
0
0
09 Nov 2023
Meta-learning of semi-supervised learning from tasks with heterogeneous
  attribute spaces
Meta-learning of semi-supervised learning from tasks with heterogeneous attribute spaces
Tomoharu Iwata
Atsutoshi Kumagai
245
2
0
09 Nov 2023
Truly Scale-Equivariant Deep Nets with Fourier Layers
Truly Scale-Equivariant Deep Nets with Fourier LayersNeural Information Processing Systems (NeurIPS), 2023
Md Ashiqur Rahman
Raymond A. Yeh
216
15
0
06 Nov 2023
Attacking Graph Neural Networks with Bit Flips: Weisfeiler and Lehman Go
  Indifferent
Attacking Graph Neural Networks with Bit Flips: Weisfeiler and Lehman Go Indifferent
Lorenz Kummer
Samir Moustafa
Nils N. Kriege
Wilfried N. Gansterer
GNNAAML
192
0
0
02 Nov 2023
Decodable and Sample Invariant Continuous Object Encoder
Decodable and Sample Invariant Continuous Object EncoderInternational Conference on Learning Representations (ICLR), 2023
Dehao Yuan
Furong Huang
Cornelia Fermuller
Yiannis Aloimonos
292
3
0
31 Oct 2023
CHAMMI: A benchmark for channel-adaptive models in microscopy imaging
CHAMMI: A benchmark for channel-adaptive models in microscopy imagingNeural Information Processing Systems (NeurIPS), 2023
Zitong S. Chen
Chau Pham
Siqi Wang
Michael Doron
Nikita Moshkov
Bryan A. Plummer
Juan C. Caicedo
189
14
0
30 Oct 2023
Laplacian Canonization: A Minimalist Approach to Sign and Basis
  Invariant Spectral Embedding
Laplacian Canonization: A Minimalist Approach to Sign and Basis Invariant Spectral EmbeddingNeural Information Processing Systems (NeurIPS), 2023
Jiangyan Ma
Yifei Wang
Yisen Wang
391
20
0
28 Oct 2023
Multi Time Scale World Models
Multi Time Scale World ModelsNeural Information Processing Systems (NeurIPS), 2023
Vaisakh Shaj
Saleh Gholam Zadeh
Ozan Demir
L. R. Douat
Gerhard Neumann
AI4CE
242
5
0
27 Oct 2023
Learning to Rank for Active Learning via Multi-Task Bilevel Optimization
Learning to Rank for Active Learning via Multi-Task Bilevel OptimizationConference on Uncertainty in Artificial Intelligence (UAI), 2023
Zixin Ding
Si-An Chen
Ruoxi Jia
Yuxin Chen
296
2
0
25 Oct 2023
Symmetry-preserving graph attention network to solve routing problems at
  multiple resolutions
Symmetry-preserving graph attention network to solve routing problems at multiple resolutions
Cong Dao Tran
Thong Bach
Truong-Son Hy
244
0
0
24 Oct 2023
Graph Deep Learning for Time Series Forecasting
Graph Deep Learning for Time Series ForecastingACM Computing Surveys (ACM Comput. Surv.), 2023
Andrea Cini
Ivan Marisca
Daniele Zambon
Cesare Alippi
AI4TSAI4CE
458
31
0
24 Oct 2023
Towards Subject Agnostic Affective Emotion Recognition
Towards Subject Agnostic Affective Emotion Recognition
Amit Kumar Jaiswal
Haiming Liu
Prayag Tiwari
135
2
0
20 Oct 2023
SPARE: A Single-Pass Neural Model for Relational Databases
SPARE: A Single-Pass Neural Model for Relational Databases
Benjamin Hilprecht
Kristian Kersting
Carsten Binnig
GNN
96
6
0
20 Oct 2023
HRTF Interpolation using a Spherical Neural Process Meta-Learner
HRTF Interpolation using a Spherical Neural Process Meta-Learner
Etienne Thuillier
Craig T. Jin
Vesa Valimaki
192
10
0
20 Oct 2023
Equivariant Deep Weight Space Alignment
Equivariant Deep Weight Space Alignment
Aviv Navon
Aviv Shamsian
Ethan Fetaya
Gal Chechik
Nadav Dym
Haggai Maron
379
29
0
20 Oct 2023
Meta-learning of Physics-informed Neural Networks for Efficiently
  Solving Newly Given PDEs
Meta-learning of Physics-informed Neural Networks for Efficiently Solving Newly Given PDEs
Tomoharu Iwata
Yusuke Tanaka
N. Ueda
AI4CE
176
6
0
20 Oct 2023
WeaveNet for Approximating Two-sided Matching Problems
WeaveNet for Approximating Two-sided Matching Problems
Shusaku Sone
Jiaxin Ma
Atsushi Hashimoto
Naoya Chiba
Yoshitaka Ushiku
GNN
97
2
0
19 Oct 2023
DIAR: Deep Image Alignment and Reconstruction using Swin Transformers
DIAR: Deep Image Alignment and Reconstruction using Swin TransformersVISIGRAPP (VISIGRAPP), 2023
Monika Kwiatkowski
Simon Matern
Olaf Hellwich
ViT
215
2
0
17 Oct 2023
Lie Group Decompositions for Equivariant Neural Networks
Lie Group Decompositions for Equivariant Neural NetworksInternational Conference on Learning Representations (ICLR), 2023
Mircea Mironenco
Patrick Forré
AI4CE
272
10
0
17 Oct 2023
Sensitivity-Aware Amortized Bayesian Inference
Sensitivity-Aware Amortized Bayesian Inference
Lasse Elsemüller
Hans Olischläger
Marvin Schmitt
Paul-Christian Bürkner
Ullrich Kothe
Stefan T. Radev
590
17
0
17 Oct 2023
TacticAI: an AI assistant for football tactics
TacticAI: an AI assistant for football tacticsNature Communications (Nat. Commun.), 2023
Zhe Wang
Petar Velickovic
Daniel Hennes
Nenad Tomašev
Laurel Prince
...
Pol Moreno
N. Heess
Michael Bowling
Demis Hassabis
K. Tuyls
403
78
0
16 Oct 2023
Node classification in networks via simplicial interactions
Node classification in networks via simplicial interactions
Eunho Koo
Tongseok Lim
242
1
0
16 Oct 2023
Score-Based Methods for Discrete Optimization in Deep Learning
Score-Based Methods for Discrete Optimization in Deep Learning
Eric Lei
Arman Adibi
Hamed Hassani
225
1
0
15 Oct 2023
Topology-guided Hypergraph Transformer Network: Unveiling Structural
  Insights for Improved Representation
Topology-guided Hypergraph Transformer Network: Unveiling Structural Insights for Improved Representation
Khaled Mohammed Saifuddin
M. E. Aktas
Esra Akbas
224
3
0
14 Oct 2023
Transformer Choice Net: A Transformer Neural Network for Choice
  Prediction
Transformer Choice Net: A Transformer Neural Network for Choice Prediction
Hanzhao Wang
Xiaocheng Li
Kalyan Talluri
206
5
0
12 Oct 2023
Differentiable Euler Characteristic Transforms for Shape Classification
Differentiable Euler Characteristic Transforms for Shape ClassificationInternational Conference on Learning Representations (ICLR), 2023
Ernst Röell
Bastian Rieck
365
13
0
11 Oct 2023
Generalized Neural Sorting Networks with Error-Free Differentiable Swap
  Functions
Generalized Neural Sorting Networks with Error-Free Differentiable Swap FunctionsInternational Conference on Learning Representations (ICLR), 2023
Jungtaek Kim
Jeongbeen Yoon
Minsu Cho
136
3
0
11 Oct 2023
Hypergraph Neural Networks through the Lens of Message Passing: A Common Perspective to Homophily and Architecture Design
Hypergraph Neural Networks through the Lens of Message Passing: A Common Perspective to Homophily and Architecture Design
Lev Telyatnikov
Maria Sofia Bucarelli
Guillermo Bernardez
Olga Zaghen
Simone Scardapane
Pietro Lio
369
15
0
11 Oct 2023
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