Deep Sets

10 March 2017

Papers citing "Deep Sets"

50 / 1,439 papers shown

Title
Fuse It or Lose It: Deep Fusion for Multimodal Simulation-Based Inference Marvin Schmitt Stefan T. Radev Paul-Christian Burkner 49 5 0 17 Nov 2023
Imagination-Augmented Hierarchical Reinforcement Learning for Safe and Interactive Autonomous Driving in Urban Environments Sang-Hyun Lee Yoonjae Jung Seung-Woo Seo 24 1 0 17 Nov 2023
Tabular Few-Shot Generalization Across Heterogeneous Feature Spaces Max Zhu Katarzyna Kobalczyk Andrija Petrović Mladen Nikolic M. Schaar Boris Delibasic Petro Lio 25 2 0 16 Nov 2023
Two-Stage Aggregation with Dynamic Local Attention for Irregular Time Series Xingyu Chen Xiaochen Zheng Amina Mollaysa Manuel Schürch Ahmed Allam Michael Krauthammer AI4TS 22 1 0 13 Nov 2023
ADAMM: Anomaly Detection of Attributed Multi-graphs with Metadata: A Unified Neural Network Approach Konstantinos Sotiropoulos Lingxiao Zhao Pierre Jinghong Liang L. Akoglu 26 4 0 13 Nov 2023
Compact Matrix Quantum Group Equivariant Neural Networks Edward Pearce-Crump GNN 33 0 0 10 Nov 2023
Going beyond persistent homology using persistent homology Johanna Immonen Amauri H. Souza Vikas K. Garg 27 9 0 10 Nov 2023
Latent Task-Specific Graph Network Simulators Philipp Dahlinger Niklas Freymuth Michael Volpp Tai Hoang Gerhard Neumann AI4CE 22 0 0 09 Nov 2023
Enhancing Instance-Level Image Classification with Set-Level Labels Renyu Zhang Aly A. Khan Yuxin Chen Robert L. Grossman 25 0 0 09 Nov 2023
Meta-learning of semi-supervised learning from tasks with heterogeneous attribute spaces Tomoharu Iwata Atsutoshi Kumagai 24 2 0 09 Nov 2023
Truly Scale-Equivariant Deep Nets with Fourier Layers Md Ashiqur Rahman Raymond A. Yeh 47 8 0 06 Nov 2023
Attacking Graph Neural Networks with Bit Flips: Weisfeiler and Lehman Go Indifferent Lorenz Kummer Samir Moustafa Nils N. Kriege Wilfried N. Gansterer GNN AAML 27 0 0 02 Nov 2023
Decodable and Sample Invariant Continuous Object Encoder Dehao Yuan Furong Huang Cornelia Fermuller Yiannis Aloimonos 11 2 0 31 Oct 2023
CHAMMI: A benchmark for channel-adaptive models in microscopy imaging Zitong S. Chen Chau Pham Siqi Wang Michael Doron Nikita Moshkov Bryan A. Plummer Juan C. Caicedo 27 10 0 30 Oct 2023
Laplacian Canonization: A Minimalist Approach to Sign and Basis Invariant Spectral Embedding Jiangyan Ma Yifei Wang Yisen Wang 30 13 0 28 Oct 2023
Multi Time Scale World Models Vaisakh Shaj Saleh Gholam Zadeh Ozan Demir L. R. Douat Gerhard Neumann AI4CE 23 3 0 27 Oct 2023
Learning to Rank for Active Learning via Multi-Task Bilevel Optimization Zixin Ding Si-An Chen Ruoxi Jia Yuxin Chen 35 1 0 25 Oct 2023
Graph Deep Learning for Time Series Forecasting Andrea Cini Ivan Marisca Daniele Zambon C. Alippi AI4TS AI4CE 24 14 0 24 Oct 2023
Symmetry-preserving graph attention network to solve routing problems at multiple resolutions Cong Dao Tran Thong Bach Truong Son-Hy 31 0 0 24 Oct 2023
Towards Subject Agnostic Affective Emotion Recognition Amit Kumar Jaiswal Haiming Liu Prayag Tiwari 31 2 0 20 Oct 2023
SPARE: A Single-Pass Neural Model for Relational Databases Benjamin Hilprecht Kristian Kersting Carsten Binnig GNN 14 4 0 20 Oct 2023
HRTF Interpolation using a Spherical Neural Process Meta-Learner Etienne Thuillier Craig T. Jin Vesa Valimaki 22 2 0 20 Oct 2023
Equivariant Deep Weight Space Alignment Aviv Navon Aviv Shamsian Ethan Fetaya Gal Chechik Nadav Dym Haggai Maron 23 21 0 20 Oct 2023
Meta-learning of Physics-informed Neural Networks for Efficiently Solving Newly Given PDEs Tomoharu Iwata Yusuke Tanaka N. Ueda AI4CE 15 2 0 20 Oct 2023
WeaveNet for Approximating Two-sided Matching Problems Shusaku Sone Jiaxin Ma Atsushi Hashimoto Naoya Chiba Yoshitaka Ushiku GNN 14 2 0 19 Oct 2023
DIAR: Deep Image Alignment and Reconstruction using Swin Transformers Monika Kwiatkowski Simon Matern Olaf Hellwich ViT 13 2 0 17 Oct 2023
Lie Group Decompositions for Equivariant Neural Networks Mircea Mironenco Patrick Forré AI4CE 23 7 0 17 Oct 2023
Sensitivity-Aware Amortized Bayesian Inference Lasse Elsemüller Hans Olischläger Marvin Schmitt Paul-Christian Burkner Ullrich Kothe Stefan T. Radev 23 7 0 17 Oct 2023
TacticAI: an AI assistant for football tactics Zhe Wang Petar Velickovic Daniel Hennes Nenad Tomašev Laurel Prince ... Pol Moreno N. Heess Michael H. Bowling Demis Hassabis K. Tuyls 54 41 0 16 Oct 2023
Node classification in networks via simplicial interactions Eunho Koo Tongseok Lim 20 0 0 16 Oct 2023
Score-Based Methods for Discrete Optimization in Deep Learning E. Lei Arman Adibi Hamed Hassani 15 1 0 15 Oct 2023
Topology-guided Hypergraph Transformer Network: Unveiling Structural Insights for Improved Representation Khaled Mohammed Saifuddin M. E. Aktas Esra Akbas 22 1 0 14 Oct 2023
Transformer Choice Net: A Transformer Neural Network for Choice Prediction Hanzhao Wang Xiaocheng Li K. Talluri 29 2 0 12 Oct 2023
Differentiable Euler Characteristic Transforms for Shape Classification Ernst Röell Bastian Alexander Rieck 23 6 0 11 Oct 2023
Generalized Neural Sorting Networks with Error-Free Differentiable Swap Functions Jungtaek Kim Jeongbeen Yoon Minsu Cho 11 1 0 11 Oct 2023
Hypergraph Neural Networks through the Lens of Message Passing: A Common Perspective to Homophily and Architecture Design Lev Telyatnikov Maria Sofia Bucarelli Guillermo Bernardez Olga Zaghen Simone Scardapane Pietro Lió 33 10 0 11 Oct 2023
Learning Layer-wise Equivariances Automatically using Gradients Tycho F. A. van der Ouderaa Alexander Immer Mark van der Wilk MLT 44 12 0 09 Oct 2023
Neur2RO: Neural Two-Stage Robust Optimization Franccois Hélénon J. Huber F. B. Amar Stéphane Doncieux 24 4 0 06 Oct 2023
A Two-stage Based Social Preference Recognition in Multi-Agent Autonomous Driving System Jintao Xue Dongkun Zhang Rong Xiong Yue Wang Eryun Liu 18 0 0 05 Oct 2023
Learning Hierarchical Relational Representations through Relational Convolutions Awni Altabaa John Lafferty 25 2 0 05 Oct 2023
Neural Bayes Estimators for Irregular Spatial Data using Graph Neural Networks Matthew Sainsbury-Dale A. Zammit‐Mangion J. Richards Raphael Huser 28 15 0 04 Oct 2023
On the Stability of Expressive Positional Encodings for Graphs Yinan Huang William Lu Joshua Robinson Yu Yang Muhan Zhang Stefanie Jegelka Pan Li 26 8 0 04 Oct 2023
Symmetric Single Index Learning Aaron Zweig Joan Bruna MLT 28 2 0 03 Oct 2023
Discovering Symmetry Breaking in Physical Systems with Relaxed Group Convolution Rui Wang E. Hofgard Han Gao Robin Walters Tess E. Smidt AI4CE 32 9 0 03 Oct 2023
The Optimal use of Segmentation for Sampling Calorimeters Fernando Torales Acosta Bishnu Karki P. Karande Aaron Angerami M. Arratia K. Barish R. Milton Sebastián Morán Benjamin Nachman Anshuman Sinha 16 5 0 02 Oct 2023
Learning Over Molecular Conformer Ensembles: Datasets and Benchmarks Yanqiao Zhu Jeehyun Hwang Keir Adams Zhen Liu B. Nan ... Olaf Wiest Olexandr Isayev Connor W. Coley Yizhou Sun Wei Wang 19 6 0 29 Sep 2023
Latent Space Symmetry Discovery Jianke Yang Nima Dehmamy Robin G. Walters Rose Yu 30 12 0 29 Sep 2023
Sheaf Hypergraph Networks Iulia Duta Giulia Cassara Fabrizio Silvestri Pietro Lió 17 17 0 29 Sep 2023
Learning the Efficient Frontier Philippe Chatigny Ivan Sergienko Ryan Ferguson Jordan Weir Maxime Bergeron 19 1 0 27 Sep 2023
AutoSynth: Learning to Generate 3D Training Data for Object Point Cloud Registration Zheng Dang Mathieu Salzmann 3DPC 19 1 0 20 Sep 2023