Deep Sets

10 March 2017

Papers citing "Deep Sets"

50 / 1,439 papers shown

Title
Uncertainty-Aware Surrogate-based Amortized Bayesian Inference for Computationally Expensive Models Stefania Scheurer Philipp Reiser Tim Brünnette Wolfgang Nowak A. Guthke Paul-Christian Burkner 31 0 0 13 May 2025
Hamiltonian Normalizing Flows as kinetic PDE solvers: application to the 1D Vlasov-Poisson Equations Vincent Souveton Sébastien Terrana 33 0 0 07 May 2025
Fast Likelihood-Free Parameter Estimation for Lévy Processes Nicolas Coloma William Kleiber 17 0 0 03 May 2025
Efficient Learning on Large Graphs using a Densifying Regularity Lemma Jonathan Kouchly Ben Finkelshtein M. Bronstein Ron Levie 39 0 0 25 Apr 2025
Group Downsampling with Equivariant Anti-aliasing Md Ashiqur Rahman Raymond A. Yeh 65 1 0 24 Apr 2025
GADS: A Super Lightweight Model for Head Pose Estimation Menan Velayuthan Asiri Gawesha Purushoth Velayuthan N. Kodagoda D. Kasthurirathna Pradeepa Samarasinghe 3DH 24 0 0 22 Apr 2025
Locate 3D: Real-World Object Localization via Self-Supervised Learning in 3D Sergio Arnaud Paul Mcvay Ada Martin Arjun Majumdar Krishna Murthy Jatavallabhula ... Nicolas Ballas Mido Assran Oleksandr Maksymets Aravind Rajeswaran Franziska Meier 3DPC 41 0 0 19 Apr 2025
AtlasD: Automatic Local Symmetry Discovery Manu Bhat Jonghyun Park Jianke Yang Nima Dehmamy Robin G. Walters Rose Yu 26 0 0 15 Apr 2025
Long Context In-Context Compression by Getting to the Gist of Gisting Aleksandar Petrov Mark Sandler A. Zhmoginov Nolan Miller Max Vladymyrov 27 0 0 11 Apr 2025
Towards generalizable single-cell perturbation modeling via the Conditional Monge Gap Alice Driessen Benedek Harsanyi Marianna Rapsomaniki Jannis Born AI4CE 34 0 0 11 Apr 2025
Particle Hit Clustering and Identification Using Point Set Transformers in Liquid Argon Time Projection Chambers Edgar E. Robles A. Yankelevich Wenjie Wu J. Bian Pierre Baldi 31 0 0 11 Apr 2025
Aggregating time-series and image data: functors and double functors Joscha Diehl 3DH 24 0 0 07 Apr 2025
Graph Neural Networks for Enhancing Ensemble Forecasts of Extreme Rainfall Christopher Bülte Sohir Maskey Philipp Scholl Jonas von Berg Gitta Kutyniok AI4CE 26 0 0 07 Apr 2025
Fourier Sliced-Wasserstein Embedding for Multisets and Measures Tal Amir Nadav Dym 48 2 0 03 Apr 2025
Quantum Deep Sets and Sequences Vladimir Vargas-Calderón 28 0 0 03 Apr 2025
Sparse Gaussian Neural Processes Tommy Rochussen Vincent Fortuin BDL UQCV 56 0 0 02 Apr 2025
A QUBO Framework for Team Formation Karan Vombatkere Evimaria Terzi Theodoros Lappas 36 0 0 29 Mar 2025
Symmetry-Informed Graph Neural Networks for Carbon Dioxide Isotherm and Adsorption Prediction in Aluminum-Substituted Zeolites M. Petković José-Manuel Vicent Luna El\=ıza Beate Dinne Vlado Menkovski Sofía Calero AI4CE 37 0 0 26 Mar 2025
A Probabilistic Neuro-symbolic Layer for Algebraic Constraint Satisfaction Leander Kurscheidt Paolo Morettin Roberto Sebastiani Andrea Passerini Antonio Vergari 55 0 0 25 Mar 2025
TeMP-TraG: Edge-based Temporal Message Passing in Transaction Graphs Steve Gounoue Ashutosh Sao Simon Gottschalk 49 0 0 21 Mar 2025
Reinforcement Learning-based Heuristics to Guide Domain-Independent Dynamic Programming Minori Narita Ryo Kuroiwa J. Christopher Beck 42 0 0 20 Mar 2025
Tokenize Image as a Set Zigang Geng Mengde Xu Han Hu Shuyang Gu DiffM 48 0 0 20 Mar 2025
Enhancing Job Salary Prediction with Disentangled Composition Effect Modeling: A Neural Prototyping Approach Yang Ji Ying Sun Hengshu Zhu 46 0 0 17 Mar 2025
From Pixels to Histopathology: A Graph-Based Framework for Interpretable Whole Slide Image Analysis Alexander Weers Alexander H. Berger Laurin Lux Peter Schüffler Daniel Rueckert Johannes C. Paetzold 42 0 0 14 Mar 2025
SPECTra: Scalable Multi-Agent Reinforcement Learning with Permutation-Free Networks Hyunwoo Park Baekryun Seong Sang-Ki Ko GNN 60 0 0 14 Mar 2025
Permutation Equivariant Neural Networks for Symmetric Tensors Edward Pearce-Crump 48 0 0 14 Mar 2025
Dynamic Feature Selection from Variable Feature Sets Using Features of Features Katsumi Takahashi Koh Takeuchi Hisashi Kashima 48 0 0 13 Mar 2025
ETCH: Generalizing Body Fitting to Clothed Humans via Equivariant Tightness Boqian Li Haiwen Feng Zeyu Cai M. Black Yuliang Xiu 3DH 57 1 0 13 Mar 2025
CrystalFramer: Rethinking the Role of Frames for SE(3)-Invariant Crystal Structure Modeling Yusei Ito Tatsunori Taniai Ryo Igarashi Yoshitaka Ushiku K. Ono 60 0 0 04 Mar 2025
Robust Simulation-Based Inference under Missing Data via Neural Processes Yogesh Verma Ayush Bharti Vikas K. Garg 63 0 0 03 Mar 2025
DDEQs: Distributional Deep Equilibrium Models through Wasserstein Gradient Flows Jonathan Geuter Clément Bonet Anna Korba David Alvarez-Melis 56 0 0 03 Mar 2025
FAIR: Facilitating Artificial Intelligence Resilience in Manufacturing Industrial Internet Yingyan Zeng Ismini Lourentzou Xinwei Deng R. Jin AI4CE 57 0 0 03 Mar 2025
PABBO: Preferential Amortized Black-Box Optimization Xinyu Zhang Daolang Huang Samuel Kaski Julien Martinelli 34 0 0 02 Mar 2025
Dimension Agnostic Neural Processes Hyungi Lee Chaeyun Jang Dongbok Lee Juho Lee UQCV AI4CE 47 0 0 28 Feb 2025
Consistent Amortized Clustering via Generative Flow Networks Irit Chelly Roy Uziel O. Freifeld Ari Pakman 46 0 0 26 Feb 2025
Position: Graph Learning Will Lose Relevance Due To Poor Benchmarks Maya Bechler-Speicher Ben Finkelshtein Fabrizio Frasca Luis Muller Jan Tonshoff ... Michael M. Bronstein Mathias Niepert Bryan Perozzi Mikhail Galkin Christopher Morris OOD 97 2 0 21 Feb 2025
MassSpecGym: A benchmark for the discovery and identification of molecules Roman Bushuiev Anton Bushuiev Niek F. de Jonge A. Young Fleming Kretschmer ... Justin J. J. van der Hooft Michael A. Stravs Sebastian Böcker Josef Sivic Tomáš Pluskal 41 4 0 17 Feb 2025
Learning county from pixels: Corn yield prediction with attention-weighted multiple instance learning Xiaoyu Wang Yuchi Ma Qunying Huang Zhengwei Yang Zhou Zhang 83 1 0 17 Feb 2025
Amortized In-Context Bayesian Posterior Estimation Sarthak Mittal Niels Leif Bracher Guillaume Lajoie P. Jaini Marcus A. Brubaker 56 1 0 10 Feb 2025
Contextual Scenario Generation for Two-Stage Stochastic Programming David Islip Roy H. Kwon Sanghyeon Bae Woo Chang Kim 59 0 0 07 Feb 2025
Using Random Noise Equivariantly to Boost Graph Neural Networks Universally X. Wang Muhan Zhang 102 0 0 04 Feb 2025
Reinforcement Teaching Alex Lewandowski Calarina Muslimani Dale Schuurmans Matthew E. Taylor Jun-Jie Luo 74 1 0 28 Jan 2025
Multi-Instance Partial-Label Learning with Margin Adjustment Wei Tang Yin-Fang Yang Zhaofei Wang W. Zhang M. Zhang 65 0 0 22 Jan 2025
PeFLL: Personalized Federated Learning by Learning to Learn Jonathan Scott Hossein Zakerinia Christoph H. Lampert FedML 85 7 0 17 Jan 2025
Hierarchical Reinforcement Learning for Optimal Agent Grouping in Cooperative Systems Liyuan Hu 39 0 0 11 Jan 2025
Enhancing Unsupervised Graph Few-shot Learning via Set Functions and Optimal Transport Yonghao Liu Fausto Giunchiglia Ximing Li Lan Huang Xiaoyue Feng Renchu Guan OffRL 118 0 0 10 Jan 2025
Machine learning models for Si nanoparticle growth in nonthermal plasma Matt Raymond Paolo Elvati Jacob C. Saldinger Jonathan Lin Xuetao Shi Angela Violi 47 0 0 03 Jan 2025
Rethinking Addressing in Language Models via Contexualized Equivariant Positional Encoding Jiajun Zhu Peihao Wang Ruisi Cai Jason D. Lee Pan Li Z. Wang KELM 38 1 0 03 Jan 2025
Line Graph Vietoris-Rips Persistence Diagram for Topological Graph Representation Learning Jaesun Shin Eunjoo Jeon Taewon Cho Namkyeong Cho Youngjune Gwon 34 0 0 23 Dec 2024
Aspect-Based Few-Shot Learning Tim van Engeland Lu Yin Vlado Menkovski 71 0 0 17 Dec 2024