Deep Sets

10 March 2017

Papers citing "Deep Sets"

50 / 1,439 papers shown

Title
Inference Attacks: A Taxonomy, Survey, and Promising Directions Feng Wu Lei Cui Shaowen Yao Shui Yu 39 2 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 37 1 0 03 Jun 2024
Hardness of Learning Neural Networks under the Manifold Hypothesis B. Kiani Jason Wang Melanie Weber 34 2 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 17 1 0 30 May 2024
The Empirical Impact of Neural Parameter Symmetries, or Lack Thereof Derek Lim Moe Putterman Robin Walters Haggai Maron Stefanie Jegelka 35 5 0 30 May 2024
Tropical Expressivity of Neural Networks Shiv Bhatia Yueqi Cao Paul Lezeau Anthea Monod 16 0 0 30 May 2024
Symmetries in Overparametrized Neural Networks: A Mean-Field View Javier Maass Martínez Joaquin Fontbona FedML MLT 33 2 0 30 May 2024
Does learning the right latent variables necessarily improve in-context learning? Sarthak Mittal Eric Elmoznino Léo Gagnon Sangnie Bhardwaj Dhanya Sridhar Guillaume Lajoie 32 4 0 29 May 2024
Spatio-Spectral Graph Neural Networks Simon Geisler Arthur Kosmala Daniel Herbst Stephan Günnemann 45 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 32 0 0 28 May 2024
From Learning to Optimize to Learning Optimization Algorithms Camille Castera Peter Ochs 59 1 0 28 May 2024
Approximately-symmetric neural networks for quantum spin liquids Dominik S. Kufel Jack Kemp Simon M. Linsel C. Laumann Norman Y. Yao 31 3 0 27 May 2024
Transport of Algebraic Structure to Latent Embeddings Samuel Pfrommer Brendon G. Anderson Somayeh Sojoudi 29 0 0 27 May 2024
Acceleration of Grokking in Learning Arithmetic Operations via Kolmogorov-Arnold Representation Yeachan Park Minseok Kim Yeoneung Kim 29 1 0 26 May 2024
SE3Set: Harnessing equivariant hypergraph neural networks for molecular representation learning Hongfei Wu Lijun Wu Guoqing Liu Zhirong Liu Bin Shao Zun Wang 35 1 0 26 May 2024
Rényi Neural Processes Xuesong Wang He Zhao Edwin V. Bonilla UQCV BDL 32 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 21 6 0 23 May 2024
Lorentz-Equivariant Geometric Algebra Transformers for High-Energy Physics Jonas Spinner Victor Bresó P. D. Haan Tilman Plehn Jesse Thaler Johann Brehmer AI4CE 29 16 0 23 May 2024
Explaining Black-box Model Predictions via Two-level Nested Feature Attributions with Consistency Property Yuya Yoshikawa Masanari Kimura Ryotaro Shimizu Yuki Saito FAtt 27 0 0 23 May 2024
Graphcode: Learning from multiparameter persistent homology using graph neural networks Michael Kerber Florian Russold AI4TS AI4CE 17 4 0 23 May 2024
Co-Representation Neural Hypergraph Diffusion for Edge-Dependent Node Classification Yijia Zheng M. Worring DiffM 37 1 0 23 May 2024
Distinguished In Uniform: Self Attention Vs. Virtual Nodes Eran Rosenbluth Jan Tonshoff Martin Ritzert Berke Kisin Martin Grohe 18 12 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 41 28 0 19 May 2024
Equivariant Deep Learning of Mixed-Integer Optimal Control Solutions for Vehicle Decision Making and Motion Planning Rudolf Reiter R. Quirynen Moritz Diehl Stefano Di Cairano 22 3 0 13 May 2024
Scalable physical source-to-field inference with hypernetworks Berian James Stefan Pollok Ignacio Peis J. Frellsen Rasmus Bjørk AI4CE 38 0 0 07 May 2024
A Unified Framework for Human-Allied Learning of Probabilistic Circuits Athresh Karanam Saurabh Mathur Sahil Sidheekh S. Natarajan TPM 31 1 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 78 473 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-Wei Zhang 38 3 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 33 23 0 22 Apr 2024
CKGConv: General Graph Convolution with Continuous Kernels Liheng Ma Soumyasundar Pal Yitian Zhang Jiaming Zhou Yingxue Zhang Mark J. Coates 37 3 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 30 4 0 20 Apr 2024
DNA: Differentially private Neural Augmentation for contact tracing Rob Romijnders Christos Louizos Yuki M. Asano Max Welling FedML 21 0 0 20 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 40 3 0 11 Apr 2024
Fast Encoder-Based 3D from Casual Videos via Point Track Processing Yoni Kasten Wuyue Lu Haggai Maron 3DPC 27 2 0 10 Apr 2024
PGTNet: A Process Graph Transformer Network for Remaining Time Prediction of Business Process Instances Keyvan Amiri Elyasi Han van der Aa Heiner Stuckenschmidt AI4TS 29 3 0 09 Apr 2024
On the Theoretical Expressive Power and the Design Space of Higher-Order Graph Transformers Cai Zhou Rose Yu Yusu Wang 32 7 0 04 Apr 2024
Entity-Centric Reinforcement Learning for Object Manipulation from Pixels Dan Haramati Tal Daniel Aviv Tamar LM&Ro OffRL OCL 34 10 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 29 11 0 31 Mar 2024
DE-HNN: An effective neural model for Circuit Netlist representation Zhishang Luo Truong Son-Hy Puoya Tabaghi Donghyeon Koh Michael Defferrard Elahe Rezaei Ryan Carey William Rhett Davis Rajeev Jain Yusu Wang 16 5 0 30 Mar 2024
GrINd: Grid Interpolation Network for Scattered Observations Andrzej Dulny Paul Heinisch Andreas Hotho Anna Krause 30 1 0 28 Mar 2024
Lift3D: Zero-Shot Lifting of Any 2D Vision Model to 3D Mukund Varma Peihao Wang Zhiwen Fan Zhangyang Wang Hao Su R. Ramamoorthi VLM 32 8 0 27 Mar 2024
On permutation-invariant neural networks Masanari Kimura Ryotaro Shimizu Yuki Hirakawa Ryosuke Goto Yuki Saito OOD AAML 33 12 0 26 Mar 2024
Quantification using Permutation-Invariant Networks based on Histograms Olaya Pérez-Mon Alejandro Moreo Juan José del Coz Pablo González MQ 19 1 0 22 Mar 2024
Crystalformer: Infinitely Connected Attention for Periodic Structure Encoding Tatsunori Taniai Ryo Igarashi Yuta Suzuki Naoya Chiba Kotaro Saito Yoshitaka Ushiku K. Ono 46 8 0 18 Mar 2024
Moments of Clarity: Streamlining Latent Spaces in Machine Learning using Moment Pooling Rikab Gambhir Athis Osathapan Jesse Thaler 25 3 0 13 Mar 2024
COSTREAM: Learned Cost Models for Operator Placement in Edge-Cloud Environments Roman Heinrich Carsten Binnig Harald Kornmayer Manisha Luthra 21 4 0 13 Mar 2024
Deep Submodular Peripteral Networks Gantavya Bhatt Arnav M. Das Jeff Bilmes 36 1 0 13 Mar 2024
Sort & Slice: A Simple and Superior Alternative to Hash-Based Folding for Extended-Connectivity Fingerprints Markus Dablander Thierry Hanser R. Lambiotte Garrett M. Morris 35 1 0 10 Mar 2024
OmniJet- $α$ : The first cross-task foundation model for particle physics Joschka Birk Anna Hallin Gregor Kasieczka AI4CE 35 22 0 08 Mar 2024
Poly-View Contrastive Learning Amitis Shidani Devon Hjelm Jason Ramapuram Russ Webb Eeshan Gunesh Dhekane Dan Busbridge VLM SSL 34 4 0 08 Mar 2024