Deep Sets

10 March 2017

Papers citing "Deep Sets"

50 / 1,439 papers shown

Title
On the Markov Property of Neural Algorithmic Reasoning: Analyses and Methods Montgomery Bohde Meng Liu Alexandra Saxton Shuiwang Ji OOD 32 8 0 07 Mar 2024
BloomGML: Graph Machine Learning through the Lens of Bilevel Optimization Amber Yijia Zheng Tong He Yixuan Qiu Minjie Wang David Wipf 31 2 0 07 Mar 2024
Rethinking of Encoder-based Warm-start Methods in Hyperparameter Optimization Dawid Pludowski Antoni Zajko Anna Kozak Katarzyna Wo'znica 25 0 0 07 Mar 2024
Learning to Defer to a Population: A Meta-Learning Approach Dharmesh Tailor Aditya Patra Rajeev Verma Putra Manggala Eric Nalisnick 20 9 0 05 Mar 2024
Permutation invariant functions: statistical tests, density estimation, and computationally efficient embedding Wee Chaimanowong Ying Zhu 33 0 0 04 Mar 2024
GNSS Positioning using Cost Function Regulated Multilateration and Graph Neural Networks Amir Jalalirad Davide Belli Bence Major Songwon Jee Himanshu Shah Will Morrison 33 1 0 28 Feb 2024
FSL-Rectifier: Rectify Outliers in Few-Shot Learning via Test-Time Augmentation Yunwei Bai Ying Kiat Tan Tsuhan Chen 35 0 0 28 Feb 2024
PolyOculus: Simultaneous Multi-view Image-based Novel View Synthesis Jason J. Yu Tristan Aumentado-Armstrong Fereshteh Forghani Konstantinos G. Derpanis Marcus A. Brubaker 33 5 0 28 Feb 2024
A unified Fourier slice method to derive ridgelet transform for a variety of depth-2 neural networks Sho Sonoda Isao Ishikawa Masahiro Ikeda 41 4 0 25 Feb 2024
DeepSet SimCLR: Self-supervised deep sets for improved pathology representation learning David Torpey Richard Klein SSL 31 1 0 23 Feb 2024
Graph Parsing Networks Yunchong Song Siyuan Huang Xinbing Wang Cheng Zhou Zhouhan Lin GNN 32 3 0 22 Feb 2024
HyperFast: Instant Classification for Tabular Data David Bonet D. M. Montserrat Xavier Giró-i-Nieto A. Ioannidis 36 15 0 22 Feb 2024
Comparing Graph Transformers via Positional Encodings Mitchell Black Zhengchao Wan Gal Mishne A. Nayyeri Yusu Wang 29 10 0 22 Feb 2024
Any2Graph: Deep End-To-End Supervised Graph Prediction With An Optimal Transport Loss Paul Krzakala Junjie Yang Rémi Flamary Florence dÁlché-Buc Charlotte Laclau Matthieu Labeau OT 27 1 0 19 Feb 2024
Approximately Piecewise E(3) Equivariant Point Networks Matan Atzmon Jiahui Huang Francis Williams Or Litany 3DPC 26 1 0 13 Feb 2024
TEE4EHR: Transformer Event Encoder for Better Representation Learning in Electronic Health Records Hojjat Karami David Atienza Anisoara Ionescu AI4TS 28 1 0 09 Feb 2024
On Provable Length and Compositional Generalization Kartik Ahuja Amin Mansouri OODD 33 7 0 07 Feb 2024
Enhancing Neural Subset Selection: Integrating Background Information into Set Representations Binghui Xie Yatao Bian Kaiwen Zhou Yongqiang Chen Peilin Zhao Bo Han Wei Meng James Cheng 14 1 0 05 Feb 2024
Neur2BiLO: Neural Bilevel Optimization Justin Dumouchelle Esther Julien Jannis Kurtz Elias Boutros Khalil 38 5 0 04 Feb 2024
Overcoming Order in Autoregressive Graph Generation Edo Cohen-Karlik Eyal Rozenberg Daniel Freedman 30 1 0 04 Feb 2024
Ultrafast jet classification on FPGAs for the HL-LHC Patrick Odagiu Zhiqiang Que Javier Mauricio Duarte J. Haller Gregor Kasieczka ... Arpita Seksaria S. Summers A. Sznajder A. Tapper Thea Klæboe Årrestad 24 3 0 02 Feb 2024
"All of Me": Mining Users' Attributes from their Public Spotify Playlists Pier Paolo Tricomi Luca Pajola Luca Pasa Mauro Conti 24 1 0 25 Jan 2024
Finetuning Foundation Models for Joint Analysis Optimization M. Vigl N. Hartman L. Heinrich 37 12 0 24 Jan 2024
A Characterization Theorem for Equivariant Networks with Point-wise Activations Marco Pacini Xiaowen Dong Bruno Lepri G. Santin 36 2 0 17 Jan 2024
GNN-LoFI: a Novel Graph Neural Network through Localized Feature-based Histogram Intersection Alessandro Bicciato Luca Cosmo G. Minello Luca Rossi A. Torsello 23 2 0 17 Jan 2024
Cross-Level Multi-Instance Distillation for Self-Supervised Fine-Grained Visual Categorization Qi Bi Wei Ji Jingjun Yi Haolan Zhan Gui-Song Xia 20 0 0 16 Jan 2024
Graph Neural Networks for Tabular Data Learning: A Survey with Taxonomy and Directions Cheng-Te Li Yu-Che Tsai Chih-Yao Chen Jay Chiehen Liao LMTD AI4CE 33 7 0 04 Jan 2024
Point Cloud Classification via Deep Set Linearized Optimal Transport Scott Mahan Caroline Moosmüller A. Cloninger 3DPC OT 15 1 0 02 Jan 2024
Adaptive Message Passing: A General Framework to Mitigate Oversmoothing, Oversquashing, and Underreaching Federico Errica Henrik Christiansen Viktor Zaverkin Takashi Maruyama Mathias Niepert Francesco Alesiani 50 7 0 27 Dec 2023
$μ$ -Net: ConvNext-Based U-Nets for Cosmic Muon Tomography Li Xin Jed Lim Ziming Qiu 8 0 0 25 Dec 2023
GCNext: Towards the Unity of Graph Convolutions for Human Motion Prediction Xinshun Wang Qiongjie Cui C. L. P. Chen Mengyuan Liu 3DH 32 10 0 19 Dec 2023
How to Train Neural Field Representations: A Comprehensive Study and Benchmark Samuele Papa Riccardo Valperga David M. Knigge Miltiadis Kofinas Phillip Lippe J. Sonke E. Gavves 27 7 0 16 Dec 2023
Deep Generative Models for Detector Signature Simulation: A Taxonomic Review Baran Hashemi Claudius Krause 30 16 0 15 Dec 2023
Towards Context-Aware Domain Generalization: Understanding the Benefits and Limits of Marginal Transfer Learning Jens Müller Lars Kühmichel Martin Rohbeck Stefan T. Radev Ullrich Kothe OOD 32 0 0 15 Dec 2023
Graph Metanetworks for Processing Diverse Neural Architectures Derek Lim Haggai Maron Marc T. Law Jonathan Lorraine James Lucas AI4CE 29 30 0 07 Dec 2023
Modeling Aggregate Downwash Forces for Dense Multirotor Flight Jennifer Gielis Ajay Shankar Ryan Kortvelesy Amanda Prorok 37 1 0 06 Dec 2023
Deep Learning for Fast Inference of Mechanistic Models' Parameters M. Borisyak Stefan Born Peter Neubauer M. N. C. Bournazou 15 0 0 05 Dec 2023
Expressive Sign Equivariant Networks for Spectral Geometric Learning Derek Lim Joshua Robinson Stefanie Jegelka Haggai Maron 71 16 0 04 Dec 2023
Deep Set Neural Networks for forecasting asynchronous bioprocess timeseries M. Borisyak Stefan Born Peter Neubauer M. N. C. Bournazou BDL AI4TS 33 0 0 04 Dec 2023
Recurrent Distance Filtering for Graph Representation Learning Yuhui Ding Antonio Orvieto Bobby He Thomas Hofmann GNN 32 6 0 03 Dec 2023
BenchMARL: Benchmarking Multi-Agent Reinforcement Learning Matteo Bettini Amanda Prorok Vincent Moens OffRL 34 15 0 03 Dec 2023
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 27 3 0 30 Nov 2023
Dynamic Dense Graph Convolutional Network for Skeleton-based Human Motion Prediction Xinshun Wang Wanying Zhang Can Wang Yuan Gao Mengyuan Liu 3DH GNN 41 32 0 29 Nov 2023
Fast Particle-based Anomaly Detection Algorithm with Variational Autoencoder Ryan Liu A. Gandrakota J. Ngadiuba M. Spiropulu J. Vlimant DRL 13 4 0 28 Nov 2023
Hypernetworks for Generalizable BRDF Representation Fazilet Gokbudak Alejandro Sztrajman Chenliang Zhou Fangcheng Zhong Rafal Mantiuk Cengiz Öztireli 29 0 0 27 Nov 2023
FRUITS: Feature Extraction Using Iterated Sums for Time Series Classification Joscha Diehl Richard Krieg AI4TS 23 4 0 24 Nov 2023
Cycle Invariant Positional Encoding for Graph Representation Learning Zuoyu Yan Teng Ma Liangcai Gao Zhi Tang Chao Chen Yusu Wang 34 4 0 24 Nov 2023
Set Features for Anomaly Detection Niv Cohen Issar Tzachor Yedid Hoshen 27 0 0 24 Nov 2023
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 13 0 0 21 Nov 2023
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 27 9 0 20 Nov 2023