Deep Sets

10 March 2017

Papers citing "Deep Sets"

50 / 1,439 papers shown

Title
Learning Set Functions with Implicit Differentiation Gözde Özcan Chengzhi Shi Stratis Ioannidis 64 0 0 15 Dec 2024
siForest: Detecting Network Anomalies with Set-Structured Isolation Forest Christie Djidjev 62 0 0 08 Dec 2024
Hierarchical Prompt Decision Transformer: Improving Few-Shot Policy Generalization with Global and Adaptive Guidance Zhe Wang Haozhu Wang Yanjun Qi OffRL 76 0 0 01 Dec 2024
Hard-Label Black-Box Attacks on 3D Point Clouds Daizong Liu Yunbo Tao Pan Zhou Wei Hu 3DPC 64 0 0 30 Nov 2024
Multigraph Message Passing with Bi-Directional Multi-Edge Aggregations H. Çağrı Bilgi Lydia Y. Chen Kubilay Atasu 81 1 0 29 Nov 2024
Twisted Convolutional Networks (TCNs): Enhancing Feature Interactions for Non-Spatial Data Classification Junbo Jacob Lian 67 0 0 29 Nov 2024
A Generalized Unified Skew-Normal Process with Neural Bayes Inference Kesen Wang M. Genton SyDa 66 0 0 26 Nov 2024
On the Reconstruction of Training Data from Group Invariant Networks Ran Elbaz Gilad Yehudai Meirav Galun Haggai Maron 69 0 0 25 Nov 2024
Equivariant Graph Network Approximations of High-Degree Polynomials for Force Field Prediction Zhao Xu Haiyang Yu Montgomery Bohde Shuiwang Ji 40 0 0 06 Nov 2024
Can Graph Neural Networks Expose Training Data Properties? An Efficient Risk Assessment Approach Hanyang Yuan Jiarong Xu Renhong Huang Mingli Song Chunping Wang Yang Yang AAML 38 1 0 06 Nov 2024
A Lorentz-Equivariant Transformer for All of the LHC Johann Brehmer Victor Bresó P. D. Haan Tilman Plehn Huilin Qu Jonas Spinner Jesse Thaler BDL 28 10 0 01 Nov 2024
Adaptive Residual Transformation for Enhanced Feature-Based OOD Detection in SAR Imagery Kyung-Hwan Lee Kyung-Tae Kim 21 0 0 01 Nov 2024
Optimal Equivariant Architectures from the Symmetries of Matrix-Element Likelihoods Daniel Maître Vishal S. Ngairangbam M. Spannowsky 29 4 0 24 Oct 2024
Entity-based Reinforcement Learning for Autonomous Cyber Defence Isaac Symes Thompson Alberto Caron Chris Hicks V. Mavroudis AAML 51 2 0 23 Oct 2024
Learning Fair and Preferable Allocations through Neural Network Ryota Maruo Koh Takeuchi Hisashi Kashima 35 0 0 23 Oct 2024
LAC: Graph Contrastive Learning with Learnable Augmentation in Continuous Space Zhenyu Lin Hongzheng Li Yingxia Shao Guanhua Ye Yawen Li Quanqing Xu 31 0 0 20 Oct 2024
Conditional Uncertainty Quantification for Tensorized Topological Neural Networks Yujia Wu Bo Yang Yang Zhao Elynn Chen Yuzhou Chen Zheshi Zheng 27 2 0 20 Oct 2024
Amortized Probabilistic Conditioning for Optimization, Simulation and Inference Paul E. Chang Nasrulloh Loka Daolang Huang Ulpu Remes Samuel Kaski Luigi Acerbi AI4CE 43 4 0 20 Oct 2024
On the Regularization of Learnable Embeddings for Time Series Forecasting L. Butera G. Felice Andrea Cini C. Alippi AI4TS 29 0 0 18 Oct 2024
Mitigating Suboptimality of Deterministic Policy Gradients in Complex Q-functions Ayush Jain Norio Kosaka Xinhu Li Kyung-Min Kim Erdem Bıyık Joseph J. Lim OffRL 16 0 0 15 Oct 2024
Encoding architecture algebra Stephane Bersier Xinyi Chen-Lin AI4CE 13 0 0 15 Oct 2024
Are High-Degree Representations Really Unnecessary in Equivariant Graph Neural Networks? Jiacheng Cen Anyi Li Ning Lin Yuxiang Ren Zihe Wang Wenbing Huang 38 2 0 15 Oct 2024
Towards Stable, Globally Expressive Graph Representations with Laplacian Eigenvectors Junru Zhou Cai Zhou Xiyuan Wang Pan Li Muhan Zhang 35 0 0 13 Oct 2024
On Divergence Measures for Training GFlowNets Tiago da Silva Eliezer de Souza da Silva Diego Mesquita BDL 29 1 0 12 Oct 2024
Scalable Signature-Based Distribution Regression via Reference Sets Andrew Alden Carmine Ventre Blanka Horvath 16 0 0 11 Oct 2024
DeepOSets: Non-Autoregressive In-Context Learning of Supervised Learning Operators Shao-Ting Chiu Junyuan Hong Ulisses Braga-Neto BDL 23 0 0 11 Oct 2024
Identifying Money Laundering Subgraphs on the Blockchain Kiwhan Song Mohamed Ali Dhraief Muhua Xu Locke Cai Xuhao Chen Arvind Jie Chen 15 0 0 10 Oct 2024
Deep Generative Quantile Bayes Jungeum Kim Percy S. Zhai Veronika Rockova 41 0 0 10 Oct 2024
Revisiting Multi-Permutation Equivariance through the Lens of Irreducible Representations Yonatan Sverdlov Ido Springer Nadav Dym 32 2 0 09 Oct 2024
Timer-XL: Long-Context Transformers for Unified Time Series Forecasting Yong Liu Guo Qin Xiangdong Huang Jianmin Wang Mingsheng Long AI4TS 29 6 0 07 Oct 2024
Dynamic Post-Hoc Neural Ensemblers Sebastian Pineda Arango Maciej Janowski Lennart Purucker Arber Zela Frank Hutter Josif Grabocka UQCV 31 0 0 06 Oct 2024
DeepLTL: Learning to Efficiently Satisfy Complex LTL Specifications for Multi-Task RL Mathias Jackermeier Alessandro Abate OffRL 34 1 0 06 Oct 2024
Estimating Body and Hand Motion in an Ego-sensed World Brent Yi Vickie Ye Maya Zheng Lea Müller Georgios Pavlakos Yi Ma Jitendra Malik Angjoo Kanazawa DiffM 42 6 0 04 Oct 2024
SPHINX: Structural Prediction using Hypergraph Inference Network Iulia Duta Pietro Liò 28 2 0 04 Oct 2024
Can LLMs Generate Diverse Molecules? Towards Alignment with Structural Diversity Hyosoon Jang Yunhui Jang Jaehyung Kim Sungsoo Ahn 21 2 0 04 Oct 2024
Extending Contextual Self-Modulation: Meta-Learning Across Modalities, Task Dimensionalities, and Data Regimes Roussel Desmond Nzoyem David A.W. Barton Tom Deakin 32 2 0 02 Oct 2024
softmax is not enough (for sharp out-of-distribution) Petar Veličković Christos Perivolaropoulos Federico Barbero Razvan Pascanu 37 17 0 01 Oct 2024
Recovering Time-Varying Networks From Single-Cell Data Euxhen Hasanaj Barnabás Póczos Ziv Bar-Joseph AI4CE 19 0 0 01 Oct 2024
What If We Had Used a Different App? Reliable Counterfactual KPI Analysis in Wireless Systems Qiushuo Hou Sangwoo Park Matteo Zecchin Yunlong Cai Guanding Yu Osvaldo Simeone 27 1 0 30 Sep 2024
MARLadona -- Towards Cooperative Team Play Using Multi-Agent Reinforcement Learning Zichong Li Filip Bjelonic Victor Klemm Marco Hutter 20 0 0 30 Sep 2024
SetPINNs: Set-based Physics-informed Neural Networks M. Nagda Phil Ostheimer Thomas Specht Frank Rhein F. Jirasek Stephan Mandt Sophie Fellenz Sophie Fellenz PINN 3DPC 46 0 0 30 Sep 2024
Sequential Signal Mixing Aggregation for Message Passing Graph Neural Networks Mitchell Keren Taraday Almog David Chaim Baskin 26 0 0 28 Sep 2024
From One to the Power of Many: Invariance to Multi-LiDAR Perception from Single-Sensor Datasets Marc Uecker J. M. Zöllner 30 0 0 27 Sep 2024
Decomposition of Equivariant Maps via Invariant Maps: Application to Universal Approximation under Symmetry Akiyoshi Sannai Yuuki Takai Matthieu Cordonnier 160 0 0 25 Sep 2024
On Lexical Invariance on Multisets and Graphs Muhan Zhang 21 0 0 21 Sep 2024
Extended Deep Submodular Functions Seyed Mohammad Hosseini Arash Jamshid Seyed Mahdi Noormousavi M. J. Siavoshani Naeimeh Omidvar 19 0 0 18 Sep 2024
Symmetry-Based Structured Matrices for Efficient Approximately Equivariant Networks Ashwin Samudre Mircea Petrache Brian D. Nord Shubhendu Trivedi 42 2 0 18 Sep 2024
CliquePH: Higher-Order Information for Graph Neural Networks through Persistent Homology on Clique Graphs Davide Buffelli Farzin Soleymani Bastian Alexander Rieck GNN 15 0 0 12 Sep 2024
A Short Survey on Set-Based Aggregation Techniques for Single-Vector WSI Representation in Digital Pathology S. Hemati Krishna R. Kalari H. R. Tizhoosh 16 0 0 06 Sep 2024
Do Graph Neural Networks Work for High Entropy Alloys? Hengrui Zhang Ruishu Huang Jie Chen J. Rondinelli Wei Chen AI4CE 24 2 0 29 Aug 2024