Deep Sets

10 March 2017

Papers citing "Deep Sets"

50 / 1,439 papers shown

Title
Performance of Graph Neural Networks for Point Cloud Applications Dhruv Parikh Bingyi Zhang Rajgopal Kannan Viktor Prasanna Carl E. Busart GNN 3DPC 21 1 0 17 Sep 2023
Keep It SimPool: Who Said Supervised Transformers Suffer from Attention Deficit? Bill Psomas Ioannis Kakogeorgiou Konstantinos Karantzalos Yannis Avrithis ViT 27 8 0 13 Sep 2023
PCN: A Deep Learning Approach to Jet Tagging Utilizing Novel Graph Construction Methods and Chebyshev Graph Convolutions Yash Semlani Mihir Relan Krithik Ramesh GNN 29 3 0 12 Sep 2023
Neural Discovery of Permutation Subgroups Pavan Karjol Rohan Kashyap A. Prathosh 28 3 0 11 Sep 2023
Postprocessing of Ensemble Weather Forecasts Using Permutation-invariant Neural Networks Kevin Höhlein Benedikt Schulz Rüdiger Westermann Sebastian Lerch 24 12 0 08 Sep 2023
Graph Neural Networks Use Graphs When They Shouldn't Maya Bechler-Speicher Ido Amos Ran Gilad-Bachrach Amir Globerson GNN AI4CE 6 14 0 08 Sep 2023
DeepCrysTet: A Deep Learning Approach Using Tetrahedral Mesh for Predicting Properties of Crystalline Materials Hirofumi Tsuruta Yukari Katsura Masaya Kumagai AI4CE 9 0 0 07 Sep 2023
Using Neural Networks for Fast SAR Roughness Estimation of High Resolution Images Li Fan Jeova Farias Sales Rocha Neto 11 0 0 06 Sep 2023
A Unified Framework for Discovering Discrete Symmetries Pavan Karjol Rohan Kashyap Aditya Gopalan Prathosh A.P. 19 2 0 06 Sep 2023
Neural Vector Fields: Generalizing Distance Vector Fields by Codebooks and Zero-Curl Regularization Xianghui Yang Guosheng Lin Zhenghao Chen Luping Zhou 39 2 0 04 Sep 2023
Learning multi-modal generative models with permutation-invariant encoders and tighter variational bounds Marcel Hirt Domenico Campolo Victoria Leong Juan-Pablo Ortega DRL 10 0 0 01 Sep 2023
Robust Point Cloud Processing through Positional Embedding Jianqiao Zheng Xueqian Li Sameera Ramasinghe Simon Lucey 3DPC 11 5 0 01 Sep 2023
Efficacy of Neural Prediction-Based Zero-Shot NAS Minh Le Nhan Nguyen N. H. Luong 22 0 0 31 Aug 2023
Decoupled Local Aggregation for Point Cloud Learning Binjie Chen Yunzhou Xia Yu Zang Cheng-Yu Wang Jonathan Li 3DPC 24 9 0 31 Aug 2023
Topological Graph Signal Compression Guillermo Bernárdez Lev Telyatnikov Eduard Alarcón A. Cabellos-Aparicio Pere Barlet-Ros Pietro Lio' AI4CE 19 0 0 21 Aug 2023
Approximately Equivariant Graph Networks Ningyuan Huang Ron Levie Soledad Villar 34 18 0 21 Aug 2023
Attesting Distributional Properties of Training Data for Machine Learning Vasisht Duddu Anudeep Das Nora Khayata Hossein Yalame T. Schneider Nirmal Asokan 40 5 0 18 Aug 2023
Is Meta-Learning the Right Approach for the Cold-Start Problem in Recommender Systems? Davide Buffelli Ashish Gupta Agnieszka Strzalka Vassilis Plachouras OffRL LRM 24 1 0 16 Aug 2023
Action Class Relation Detection and Classification Across Multiple Video Datasets Yuya Yoshikawa Yutaro Shigeto Masashi Shimbo A. Takeuchi 19 0 0 15 Aug 2023
Phoneme Hallucinator: One-shot Voice Conversion via Set Expansion Siyuan Shan Yang Li A. Banerjee Junier B. Oliva 18 4 0 11 Aug 2023
Scalability of Message Encoding Techniques for Continuous Communication Learned with Multi-Agent Reinforcement Learning Astrid Vanneste Thomas Somers Simon Vanneste Kevin Mets Tom De Schepper Siegfried Mercelis P. Hellinckx 14 0 0 09 Aug 2023
Probabilistic Invariant Learning with Randomized Linear Classifiers Leonardo Cotta Gal Yehuda Assaf Schuster Chris J. Maddison 21 2 0 08 Aug 2023
On genuine invariance learning without weight-tying A. Moskalev A. Sepliarskaia Erik J. Bekkers A. Smeulders CML OOD 19 6 0 07 Aug 2023
Replace Scoring with Arrangement: A Contextual Set-to-Arrangement Framework for Learning-to-Rank Jiarui Jin Xianyu Chen Weinan Zhang Mengyue Yang Yang Wang Yali Du Yong Yu J. Wang 9 0 0 05 Aug 2023
Factor Graph Neural Networks Zhen Zhang Mohammed Haroon Dupty Fan Wu Javen Qinfeng Shi Fan Wu AI4CE 30 39 0 02 Aug 2023
Neural approximation of Wasserstein distance via a universal architecture for symmetric and factorwise group invariant functions Samantha Chen Yusu Wang 20 3 0 01 Aug 2023
Explainable Equivariant Neural Networks for Particle Physics: PELICAN A. Bogatskiy Timothy Hoffman David W. Miller Jan T. Offermann Xiaoyang Liu 29 24 0 31 Jul 2023
Pathology-and-genomics Multimodal Transformer for Survival Outcome Prediction Kexin Ding Mu Zhou Dimitris N. Metaxas Shaoting Zhang 19 27 0 22 Jul 2023
Fast Unsupervised Deep Outlier Model Selection with Hypernetworks Xueying Ding Yue Zhao L. Akoglu OODD 17 4 0 20 Jul 2023
Forecasting Early with Meta Learning Shayan Jawed Kiran Madhusudhanan Vijaya Krishna Yalavarthi Lars Schmidt-Thieme AI4TS 26 0 0 19 Jul 2023
Adaptive Topological Feature via Persistent Homology: Filtration Learning for Point Clouds Naoki Nishikawa Yuichi Ike Kenji Yamanishi 3DPC 14 5 0 18 Jul 2023
Graph Automorphism Group Equivariant Neural Networks Edward Pearce-Crump William J. Knottenbelt 23 1 0 15 Jul 2023
HYTREL: Hypergraph-enhanced Tabular Data Representation Learning Pei Chen Soumajyoti Sarkar Leonard Lausen Balasubramaniam Srinivasan Sheng Zha Ruihong Huang George Karypis LMTD 28 33 0 14 Jul 2023
Choice Models and Permutation Invariance: Demand Estimation in Differentiated Products Markets Amandeep Singh Ye Liu Hema Yoganarasimhan 30 2 0 13 Jul 2023
Tapestry of Time and Actions: Modeling Human Activity Sequences using Temporal Point Process Flows Vinayak Gupta Srikanta J. Bedathur AI4TS 27 1 0 13 Jul 2023
The Whole Pathological Slide Classification via Weakly Supervised Learning Qiehe Sun Jiawen Li Jin Xu Junru Cheng Tian Guan Yonghong He 29 0 0 12 Jul 2023
Self-Supervised Learning with Lie Symmetries for Partial Differential Equations Grégoire Mialon Q. Garrido Hannah Lawrence Danyal Rehman Yann LeCun B. Kiani SSL 27 25 0 11 Jul 2023
Comparison of Point Cloud and Image-based Models for Calorimeter Fast Simulation Fernando Torales Acosta Vinicius Mikuni Benjamin Nachman M. Arratia B. Karki R. Milton P. Karande Aaron Angerami DiffM 22 24 0 10 Jul 2023
Parallel Algorithms Align with Neural Execution Valerie Engelmayer Dobrik Georgiev Petar Velickovic 32 7 0 08 Jul 2023
Polynomial Width is Sufficient for Set Representation with High-dimensional Features Peihao Wang Shenghao Yang Shu Li Zhangyang Wang Pan Li 19 3 0 08 Jul 2023
$ν^2$ -Flows: Fast and improved neutrino reconstruction in multi-neutrino final states with conditional normalizing flows J. A. Raine Matthew Leigh K. Zoch T. Golling 20 19 0 05 Jul 2023
Sumformer: Universal Approximation for Efficient Transformers Silas Alberti Niclas Dern L. Thesing Gitta Kutyniok 19 16 0 05 Jul 2023
Set Learning for Accurate and Calibrated Models Lukas Muttenthaler Robert A. Vandermeulen Qiuyi Zhang Thomas Unterthiner Klaus-Robert Muller 31 2 0 05 Jul 2023
ChiENN: Embracing Molecular Chirality with Graph Neural Networks Piotr Gaiñski Michał Koziarski Jacek Tabor Marek Śmieja GNN 32 3 0 05 Jul 2023
An end-to-end framework for gene expression classification by integrating a background knowledge graph: application to cancer prognosis prediction Kazuma Inoue Ryosuke Kojima M. Kamada Yasushi Okuno 15 0 0 29 Jun 2023
Neural Bayes estimators for censored inference with peaks-over-threshold models J. Richards Matthew Sainsbury-Dale A. Zammit‐Mangion Raphael Huser 30 8 0 27 Jun 2023
Exploiting Inferential Structure in Neural Processes Dharmesh Tailor Mohammad Emtiyaz Khan Eric Nalisnick BDL 39 1 0 27 Jun 2023
Generalised f-Mean Aggregation for Graph Neural Networks Ryan Kortvelesy Steven D. Morad Amanda Prorok FedML AI4CE 17 4 0 24 Jun 2023
Evolving Computation Graphs Andreea Deac Jian Tang 22 1 0 22 Jun 2023
Hierarchical Neural Simulation-Based Inference Over Event Ensembles Lukas Heinrich S. Mishra-Sharma C. Pollard Philipp Windischhofer 19 4 0 21 Jun 2023