ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1903.07348
  4. Cited By
On Deep Set Learning and the Choice of Aggregations
v1v2 (latest)

On Deep Set Learning and the Choice of Aggregations

International Conference on Artificial Neural Networks (ICANN), 2019
18 March 2019
Maximilian Sölch
A. Akhundov
Patrick van der Smagt
Justin Bayer
    TDI
ArXiv (abs)PDFHTML

Papers citing "On Deep Set Learning and the Choice of Aggregations"

12 / 12 papers shown
Title
On permutation-invariant neural networks
On permutation-invariant neural networks
Masanari Kimura
Ryotaro Shimizu
Yuki Hirakawa
Ryosuke Goto
Yuki Saito
OODAAML
269
16
0
26 Mar 2024
Uniform $\mathcal{C}^k$ Approximation of $G$-Invariant and Antisymmetric
  Functions, Embedding Dimensions, and Polynomial Representations
Uniform Ck\mathcal{C}^kCk Approximation of GGG-Invariant and Antisymmetric Functions, Embedding Dimensions, and Polynomial Representations
Soumya Ganguly
Khoa Tran
Rahul Sarkar
199
0
0
02 Mar 2024
Postprocessing of Ensemble Weather Forecasts Using Permutation-invariant
  Neural Networks
Postprocessing of Ensemble Weather Forecasts Using Permutation-invariant Neural NetworksArtificial Intelligence for the Earth Systems (AI4ES), 2023
Kevin Höhlein
Benedikt Schulz
Rüdiger Westermann
Sebastian Lerch
205
19
0
08 Sep 2023
Robust Point Cloud Processing through Positional Embedding
Robust Point Cloud Processing through Positional EmbeddingInternational Conference on 3D Vision (3DV), 2023
Jianqiao Zheng
Xueqian Li
Sameera Ramasinghe
Simon Lucey
3DPC
176
6
0
01 Sep 2023
The Neural Process Family: Survey, Applications and Perspectives
The Neural Process Family: Survey, Applications and Perspectives
Saurav Jha
Dong Gong
Xuesong Wang
Richard Turner
Weitong Chen
BDL
389
27
0
01 Sep 2022
Likelihood-Free Parameter Estimation with Neural Bayes Estimators
Likelihood-Free Parameter Estimation with Neural Bayes EstimatorsAmerican Statistician (Am. Stat.), 2022
Matthew Sainsbury-Dale
A. Zammit‐Mangion
Raphael Huser
518
50
0
27 Aug 2022
Effective and Interpretable Information Aggregation with Capacity
  Networks
Effective and Interpretable Information Aggregation with Capacity NetworksIEEE International Joint Conference on Neural Network (IJCNN), 2022
Markus Zopf
235
0
0
25 Jul 2022
Improving GNSS Positioning using Neural Network-based Corrections
Improving GNSS Positioning using Neural Network-based Corrections
Ashwin V. Kanhere
Shubh Gupta
Akshay Shetty
Grace Gao
AAML
148
47
0
18 Oct 2021
Design Strategy Network: A deep hierarchical framework to represent
  generative design strategies in complex action spaces
Design Strategy Network: A deep hierarchical framework to represent generative design strategies in complex action spaces
Ayush Raina
Jonathan Cagan
Christopher McComb
AI4CE
166
13
0
07 Oct 2021
SHIFT15M: Fashion-specific dataset for set-to-set matching with several
  distribution shifts
SHIFT15M: Fashion-specific dataset for set-to-set matching with several distribution shifts
Masanari Kimura
Takuma Nakamura
Yuki Saito
OOD
177
3
0
30 Aug 2021
Optimal sequential decision making with probabilistic digital twins
Optimal sequential decision making with probabilistic digital twinsSN Applied Sciences (SN Appl. Sci.), 2021
C. Agrell
Kristina Rognlien Dahl
A. Hafver
123
10
0
12 Mar 2021
Shopping in the Multiverse: A Counterfactual Approach to In-Session
  Attribution
Shopping in the Multiverse: A Counterfactual Approach to In-Session Attribution
Jacopo Tagliabue
Bingqing Yu
107
6
0
20 Jul 2020
1