Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
1703.06114
Cited By
v1
v2
v3 (latest)
Deep Sets
10 March 2017
Manzil Zaheer
Satwik Kottur
Siamak Ravanbakhsh
Barnabás Póczós
Ruslan Salakhutdinov
Alex Smola
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Deep Sets"
50 / 1,556 papers shown
On the Hölder Stability of Multiset and Graph Neural Networks
Yair Davidson
Nadav Dym
556
4
0
11 Jun 2024
Few-Shot Load Forecasting Under Data Scarcity in Smart Grids: A Meta-Learning Approach
Georgios Tsoumplekas
C. Athanasiadis
Dimitrios I. Doukas
Antonios C. Chrysopoulos
P. Mitkas
AI4TS
223
10
0
09 Jun 2024
What Can We Learn from State Space Models for Machine Learning on Graphs?
Yinan Huang
Siqi Miao
Pan Li
248
11
0
09 Jun 2024
Particle Multi-Axis Transformer for Jet Tagging
Muhammad Usman
M. Shahid
Maheen Ejaz
Ummay Hani
Nayab Fatima
Abdul Rehman Khan
Asifullah Khan
Nasir Majid Mirza
233
3
0
09 Jun 2024
Weakly Supervised Set-Consistency Learning Improves Morphological Profiling of Single-Cell Images
Heming Yao
Phil Hanslovsky
Jan-Christian Huetter
Burkhard Hoeckendorf
David Richmond
162
6
0
08 Jun 2024
A Universal Class of Sharpness-Aware Minimization Algorithms
B. Tahmasebi
Ashkan Soleymani
Dara Bahri
Stefanie Jegelka
Patrick Jaillet
AAML
372
10
0
06 Jun 2024
Meta-learning for Positive-unlabeled Classification
Atsutoshi Kumagai
Tomoharu Iwata
Yasuhiro Fujiwara
214
1
0
06 Jun 2024
Topological Neural Networks go Persistent, Equivariant, and Continuous
Yogesh Verma
Amauri H Souza
Vikas Garg
AI4CE
188
11
0
05 Jun 2024
Enhancing Multimodal Large Language Models with Multi-instance Visual Prompt Generator for Visual Representation Enrichment
Wenliang Zhong
Wenyi Wu
Qi Li
Rob Barton
Boxin Du
Shioulin Sam
Karim Bouyarmane
Ismail B. Tutar
Junzhou Huang
232
4
0
05 Jun 2024
GEFL: Extended Filtration Learning for Graph Classification
Simon Zhang
Soham Mukherjee
T. Dey
317
13
0
04 Jun 2024
System-Aware Neural ODE Processes for Few-Shot Bayesian Optimization
Jixiang Qing
Becky D Langdon
Robert M. Lee
B. Shafei
Mark van der Wilk
Calvin Tsay
Ruth Misener
262
3
0
04 Jun 2024
Inference Attacks: A Taxonomy, Survey, and Promising Directions
Feng Wu
Lei Cui
Shaowen Yao
Shui Yu
372
3
0
04 Jun 2024
Learning equivariant tensor functions with applications to sparse vector recovery
Wilson Gregory
Josué Tonelli-Cueto
Nicholas F. Marshall
Andrew S. Lee
Soledad Villar
240
4
0
03 Jun 2024
Hardness of Learning Neural Networks under the Manifold Hypothesis
B. Kiani
Jason Wang
Melanie Weber
262
15
0
03 Jun 2024
Understanding Encoder-Decoder Structures in Machine Learning Using Information Measures
Jorge F. Silva
Victor Faraggi
Camilo Ramírez
Álvaro F. Egaña
Eduardo Pavez
199
3
0
30 May 2024
The Empirical Impact of Neural Parameter Symmetries, or Lack Thereof
Derek Lim
Moe Putterman
Robin Walters
Haggai Maron
Stefanie Jegelka
471
15
0
30 May 2024
Tropical Expressivity of Neural Networks
Shiv Bhatia
Yueqi Cao
Paul Lezeau
Anthea Monod
196
1
0
30 May 2024
Symmetries in Overparametrized Neural Networks: A Mean-Field View
Javier Maass
Joaquin Fontbona
MLT
FedML
519
4
0
30 May 2024
Spatio-Spectral Graph Neural Networks
Simon Geisler
Arthur Kosmala
Daniel Herbst
Stephan Günnemann
344
16
0
29 May 2024
Does learning the right latent variables necessarily improve in-context learning?
Sarthak Mittal
Eric Elmoznino
Léo Gagnon
Sangnie Bhardwaj
Tom Marty
Dhanya Sridhar
Guillaume Lajoie
425
8
0
29 May 2024
mTREE: Multi-Level Text-Guided Representation End-to-End Learning for Whole Slide Image Analysis
Quan Liu
Ruining Deng
Can Cui
Tianyuan Yao
V. Nath
Yucheng Tang
Yuankai Huo
180
1
0
28 May 2024
From Learning to Optimize to Learning Optimization Algorithms
Camille Castera
Peter Ochs
449
1
0
28 May 2024
Transport of Algebraic Structure to Latent Embeddings
Samuel Pfrommer
Brendon G. Anderson
Somayeh Sojoudi
205
0
0
27 May 2024
Approximately-symmetric neural networks for quantum spin liquids
Physical Review Letters (PRL), 2024
Dominik S. Kufel
Jack Kemp
DinhDuy Vu
Simon M. Linsel
C. Laumann
Norman Y. Yao
273
4
0
27 May 2024
Acceleration of Grokking in Learning Arithmetic Operations via Kolmogorov-Arnold Representation
Yeachan Park
Minseok Kim
Yeoneung Kim
241
3
0
26 May 2024
SE3Set: Harnessing equivariant hypergraph neural networks for molecular representation learning
Hongfei Wu
Lijun Wu
Lingbo Li
Zhirong Liu
Jia Zhang
Guoqing Liu
224
3
0
26 May 2024
Rényi Neural Processes
Xuesong Wang
He Zhao
Edwin V. Bonilla
UQCV
BDL
460
0
0
25 May 2024
Message-Passing Monte Carlo: Generating low-discrepancy point sets via Graph Neural Networks
T. Konstantin Rusch
Nathan Kirk
M. Bronstein
Christiane Lemieux
Daniela Rus
221
13
0
23 May 2024
Lorentz-Equivariant Geometric Algebra Transformers for High-Energy Physics
Neural Information Processing Systems (NeurIPS), 2024
Jonas Spinner
Victor Bresó
P. D. Haan
Tilman Plehn
Jesse Thaler
Johann Brehmer
AI4CE
293
39
0
23 May 2024
Graphcode: Learning from multiparameter persistent homology using graph neural networks
Neural Information Processing Systems (NeurIPS), 2024
Michael Kerber
Florian Russold
AI4TS
AI4CE
134
10
0
23 May 2024
Modeling Edge-Specific Node Features through Co-Representation Neural Hypergraph Diffusion
Yijia Zheng
Marcel Worring
DiffM
362
3
0
23 May 2024
Explaining Black-box Model Predictions via Two-level Nested Feature Attributions with Consistency Property
International Joint Conference on Artificial Intelligence (IJCAI), 2024
Yuya Yoshikawa
Masanari Kimura
Ryotaro Shimizu
Yuki Saito
FAtt
374
0
0
23 May 2024
Distinguished In Uniform: Self Attention Vs. Virtual Nodes
Eran Rosenbluth
Jan Tönshoff
Martin Ritzert
Berke Kisin
Martin Grohe
209
19
0
20 May 2024
Morphological Prototyping for Unsupervised Slide Representation Learning in Computational Pathology
Andrew H. Song
Richard J. Chen
Tong Ding
Drew F. K. Williamson
Guillaume Jaume
Faisal Mahmood
MedIm
283
74
0
19 May 2024
Equivariant Deep Learning of Mixed-Integer Optimal Control Solutions for Vehicle Decision Making and Motion Planning
IEEE Transactions on Control Systems Technology (TCST), 2024
Rudolf Reiter
R. Quirynen
Moritz Diehl
Stefano Di Cairano
201
8
0
13 May 2024
Scalable physical source-to-field inference with hypernetworks
Berian James
Stefan Pollok
Ignacio Peis
J. Frellsen
Rasmus Bjørk
AI4CE
187
0
0
07 May 2024
A Unified Framework for Human-Allied Learning of Probabilistic Circuits
AAAI Conference on Artificial Intelligence (AAAI), 2024
Athresh Karanam
Saurabh Mathur
Sahil Sidheekh
S. Natarajan
TPM
231
3
0
03 May 2024
KAN: Kolmogorov-Arnold Networks
Ziming Liu
Yixuan Wang
Sachin Vaidya
Fabian Ruehle
James Halverson
Marin Soljacic
Thomas Y. Hou
Max Tegmark
982
1,261
0
30 Apr 2024
4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on Relational DBs
Minjie Wang
Quan Gan
David Wipf
Zhenkun Cai
Ning Li
...
Chuan Lei
Mu-Nan Zhang
Weinan Zhang
Christos Faloutsos
Zheng Zhang
199
5
0
28 Apr 2024
SOFTS: Efficient Multivariate Time Series Forecasting with Series-Core Fusion
Lu Han
Xu-Yang Chen
Han-Jia Ye
De-Chuan Zhan
AI4TS
213
91
0
22 Apr 2024
CKGConv: General Graph Convolution with Continuous Kernels
Liheng Ma
Soumyasundar Pal
Yitian Zhang
Jiaming Zhou
Yingxue Zhang
Mark Coates
208
8
0
21 Apr 2024
Composing Pre-Trained Object-Centric Representations for Robotics From "What" and "Where" Foundation Models
Junyao Shi
Jianing Qian
Yecheng Jason Ma
Dinesh Jayaraman
OCL
273
15
0
20 Apr 2024
DNA: Differentially private Neural Augmentation for contact tracing
Rob Romijnders
Christos Louizos
Yuki M. Asano
Max Welling
FedML
235
0
0
20 Apr 2024
Spectral Convolutional Conditional Neural Processes
Peiman Mohseni
Nick Duffield
314
4
0
19 Apr 2024
Diffusion posterior sampling for simulation-based inference in tall data settings
J. Linhart
Gabriel Victorino Cardoso
Alexandre Gramfort
Sylvain Le Corff
Pedro L. C. Rodrigues
DiffM
276
12
0
11 Apr 2024
Fast Encoder-Based 3D from Casual Videos via Point Track Processing
Neural Information Processing Systems (NeurIPS), 2024
Yoni Kasten
Wuyue Lu
Haggai Maron
3DPC
284
13
0
10 Apr 2024
PGTNet: A Process Graph Transformer Network for Remaining Time Prediction of Business Process Instances
International Conference on Advanced Information Systems Engineering (CAiSE), 2024
Keyvan Amiri Elyasi
Han van der Aa
Heiner Stuckenschmidt
AI4TS
163
14
0
09 Apr 2024
On the Theoretical Expressive Power and the Design Space of Higher-Order Graph Transformers
International Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Cai Zhou
Rose Yu
Yusu Wang
293
12
0
04 Apr 2024
Entity-Centric Reinforcement Learning for Object Manipulation from Pixels
Dan Haramati
Tal Daniel
Aviv Tamar
LM&Ro
OffRL
OCL
250
24
0
01 Apr 2024
HypeBoy: Generative Self-Supervised Representation Learning on Hypergraphs
Sunwoo Kim
Shinhwan Kang
Fanchen Bu
Soo Yong Lee
Jaemin Yoo
Kijung Shin
SSL
164
20
0
31 Mar 2024
Previous
1
2
3
...
5
6
7
...
30
31
32
Next
Page 6 of 32
Page
of 32
Go
