Deep Sets

10 March 2017

Papers citing "Deep Sets"

50 / 1,441 papers shown

Title
Persformer: A Transformer Architecture for Topological Machine Learning Raphael Reinauer Matteo Caorsi Nicolas Berkouk 32 15 0 30 Dec 2021
DeepHAM: A Global Solution Method for Heterogeneous Agent Models with Aggregate Shocks Jiequn Han Yucheng Yang Weinan E 24 22 0 29 Dec 2021
NetKet 3: Machine Learning Toolbox for Many-Body Quantum Systems F. Vicentini Damian Hofmann A. Szabó Dian Wu Christopher Roth ... Gabriel Pescia J. Nys Vladimir Vargas-Calderón N. Astrakhantsev Giuseppe Carleo 24 87 0 20 Dec 2021
Weisfeiler and Leman go Machine Learning: The Story so far Christopher Morris Y. Lipman Haggai Maron Bastian Rieck Nils M. Kriege Martin Grohe Matthias Fey Karsten Borgwardt GNN 56 114 0 18 Dec 2021
Set Twister for Single-hop Node Classification Yangze Zhou Vinayak A. Rao Bruno Ribeiro 38 0 0 17 Dec 2021
Full Transformer Framework for Robust Point Cloud Registration with Deep Information Interaction Guang-Sheng Chen Meiling Wang Yufeng Yue Qingxiang Zhang Li-xin Yuan ViT 50 17 0 17 Dec 2021
Graph Kernel Neural Networks Luca Cosmo G. Minello Alessandro Bicciato M. Bronstein Emanuele Rodolà Luca Rossi A. Torsello GNN 46 20 0 14 Dec 2021
A New Perspective on the Effects of Spectrum in Graph Neural Networks Mingqi Yang Yanming Shen Rui Li Heng Qi Qian Zhang Baocai Yin GNN 20 27 0 14 Dec 2021
SLOSH: Set LOcality Sensitive Hashing via Sliced-Wasserstein Embeddings Yuzhe Lu Xinran Liu Andrea Soltoggio Soheil Kolouri 26 7 0 11 Dec 2021
Equivariant Quantum Graph Circuits Péter Mernyei K. Meichanetzidis .Ismail .Ilkan Ceylan 49 8 0 10 Dec 2021
End-to-end Alexa Device Arbitration Jarred Barber Yifeng Fan Tao Zhang 27 3 0 08 Dec 2021
Machine Learning in the Search for New Fundamental Physics G. Karagiorgi Gregor Kasieczka S. Kravitz Benjamin Nachman David Shih AI4CE 49 113 0 07 Dec 2021
Permutation Equivariant Generative Adversarial Networks for Graphs Yoann Boget Magda Gregorova Alexandros Kalousis GAN 16 0 0 07 Dec 2021
Explicitly antisymmetrized neural network layers for variational Monte Carlo simulation Jeffmin Lin Gil Goldshlager Lin Lin 48 22 0 07 Dec 2021
Self-supervised Graph Learning for Occasional Group Recommendation Bowen Hao Hongzhi Yin Cuiping Li Hong Chen 35 6 0 04 Dec 2021
Frame Averaging for Equivariant Shape Space Learning Matan Atzmon Koki Nagano Sanja Fidler S. Khamis Y. Lipman FedML 49 13 0 03 Dec 2021
Residual Pathway Priors for Soft Equivariance Constraints Marc Finzi Gregory W. Benton A. Wilson BDL UQCV 29 55 0 02 Dec 2021
CloudWalker: Random walks for 3D point cloud shape analysis Adi Mesika Yizhak Ben-Shabat A. Tal 3DPC 27 9 0 02 Dec 2021
Label-Free Model Evaluation with Semi-Structured Dataset Representations Xiaoxiao Sun Yunzhong Hou Hongdong Li Liang Zheng 29 11 0 01 Dec 2021
ZZ-Net: A Universal Rotation Equivariant Architecture for 2D Point Clouds Georg Bökman Fredrik Kahl Axel Flinth 3DPC 35 19 0 30 Nov 2021
MultiPath++: Efficient Information Fusion and Trajectory Aggregation for Behavior Prediction Balakrishnan Varadarajan Ahmed S. Hefny A. Srivastava Khaled S. Refaat Nigamaa Nayakanti ... K. Chen B. Douillard C. Lam Drago Anguelov Benjamin Sapp 46 309 0 29 Nov 2021
A Graph Deep Learning Framework for High-Level Synthesis Design Space Exploration Lorenzo Ferretti Andrea Cini Georgios Zacharopoulos Cesare Alippi L. Pozzi 35 4 0 29 Nov 2021
ModelPred: A Framework for Predicting Trained Model from Training Data Yingyan Zeng Jiachen T. Wang Si-An Chen H. Just Ran Jin R. Jia TDI MU 35 2 0 24 Nov 2021
Multiset-Equivariant Set Prediction with Approximate Implicit Differentiation Yan Zhang David W. Zhang Simon Lacoste-Julien Gertjan J. Burghouts Cees G. M. Snoek BDL 48 21 0 23 Nov 2021
Graph Neural Networks with Parallel Neighborhood Aggregations for Graph Classification Siddhant Doshi S. Chepuri GNN 30 4 0 22 Nov 2021
Imperceptible Transfer Attack and Defense on 3D Point Cloud Classification Daizong Liu Wei Hu 3DPC 27 47 0 22 Nov 2021
CpT: Convolutional Point Transformer for 3D Point Cloud Processing Chaitanya Kaul Joshua Mitton H. Dai Roderick Murray-Smith 3DPC 33 6 0 21 Nov 2021
What Stops Learning-based 3D Registration from Working in the Real World? Zheng Dang Lizhou Wang Junning Qiu M. Lu Mathieu Salzmann 3DPC 39 0 0 19 Nov 2021
Neural Class Expression Synthesis N'Dah Jean Kouagou Stefan Heindorf Caglar Demir A. N. Ngomo 16 8 0 16 Nov 2021
On-Demand Unlabeled Personalized Federated Learning Ohad Amosy G. Eyal Gal Chechik FedML 46 2 0 16 Nov 2021
Background-Aware 3D Point Cloud Segmentationwith Dynamic Point Feature Aggregation Jiajing Chen Burak Kakillioglu Senem Velipasalar 3DPC 39 36 0 14 Nov 2021
Time in a Box: Advancing Knowledge Graph Completion with Temporal Scopes Ling Cai K. Janowicz Bo Yan Rui Zhu Gengchen Mai 35 14 0 12 Nov 2021
Understanding the Generalization Benefit of Model Invariance from a Data Perspective Sicheng Zhu Bang An Furong Huang 30 25 0 10 Nov 2021
A Review of Location Encoding for GeoAI: Methods and Applications Gengchen Mai K. Janowicz Yingjie Hu Song Gao Bo Yan Rui Zhu Ling Cai Ni Lao 71 115 0 07 Nov 2021
Learning on Random Balls is Sufficient for Estimating (Some) Graph Parameters Takanori Maehara Hoang NT 46 2 0 05 Nov 2021
Amortized Variational Inference for Simple Hierarchical Models Abhinav Agrawal Justin Domke BDL 17 23 0 04 Nov 2021
Implicit Deep Adaptive Design: Policy-Based Experimental Design without Likelihoods Desi R. Ivanova Adam Foster Steven Kleinegesse Michael U. Gutmann Tom Rainforth OffRL 23 46 0 03 Nov 2021
Equivariant Deep Dynamical Model for Motion Prediction Bahar Azari Deniz Erdoğmuş 27 1 0 02 Nov 2021
End-to-End Learning of Deep Kernel Acquisition Functions for Bayesian Optimization Tomoharu Iwata BDL 19 4 0 01 Nov 2021
The CAT SET on the MAT: Cross Attention for Set Matching in Bipartite Hypergraphs Govind Sharma Swyam Prakash Singh V. Devi M. Murty 24 2 0 30 Oct 2021
Transformers Generalize DeepSets and Can be Extended to Graphs and Hypergraphs Jinwoo Kim Saeyoon Oh Seunghoon Hong AI4CE 25 42 0 27 Oct 2021
MixSeq: Connecting Macroscopic Time Series Forecasting with Microscopic Time Series Data Zhibo Zhu Ziqi Liu Ge Jin Qing Cui Lei Chen Jun Zhou Jianyong Zhou AI4TS 34 15 0 27 Oct 2021
Learning Graph Cellular Automata Daniele Grattarola L. Livi Cesare Alippi GNN 15 30 0 27 Oct 2021
ConE: Cone Embeddings for Multi-Hop Reasoning over Knowledge Graphs Zhanqiu Zhang Jie Wang Jiajun Chen Shuiwang Ji Feng Wu 38 119 0 26 Oct 2021
Nested Graph Neural Networks Muhan Zhang Pan Li 38 165 0 25 Oct 2021
Self-learned Intelligence for Integrated Decision and Control of Automated Vehicles at Signalized Intersections Jiyoung Lee Jianhua Jiang Guojian Zhan Shengbo Eben Li Jingliang Duan Chen Chen Keqiang Li 41 14 0 24 Oct 2021
SCHA-VAE: Hierarchical Context Aggregation for Few-Shot Generation Giorgio Giannone Fattane Pourakpour DRL BDL 22 10 0 23 Oct 2021
Time-domain Ad-hoc Array Speech Enhancement Using a Triple-path Network Ashutosh Pandey Buye Xu Anurag Kumar Jacob Donley P. Calamia DeLiang Wang 41 4 0 22 Oct 2021
Neural-guided, Bidirectional Program Search for Abstraction and Reasoning Simon Alford Anshul Gandhi Akshay Rangamani Andrzej Banburski Tony Wang Sylee Dandekar John Chin T. Poggio S. Chin LRM 103 21 0 22 Oct 2021
Improving GNSS Positioning using Neural Network-based Corrections Ashwin V. Kanhere Shubh Gupta Akshay Shetty Grace Gao AAML 31 36 0 18 Oct 2021