On Deep Set Learning and the Choice of Aggregations

18 March 2019

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

6 / 6 papers shown

Title
$Uniform $\mathcal{C}^k$ Approximation of $G$-Invariant and Antisymmetric Functions, Embedding Dimensions, and Polynomial Representations$ Uniform $\mathcal{C}^k$ Approximation of $G$ -Invariant and Antisymmetric Functions, Embedding Dimensions, and Polynomial Representations Soumya Ganguly Khoa Tran Rahul Sarkar 44 0 0 02 Mar 2024
The Neural Process Family: Survey, Applications and Perspectives Saurav Jha Dong Gong Xuesong Wang Richard Turner L. Yao BDL 78 24 0 01 Sep 2022
Improving GNSS Positioning using Neural Network-based Corrections Ashwin V. Kanhere Shubh Gupta Akshay Shetty Grace Gao AAML 31 36 0 18 Oct 2021
Design Strategy Network: A deep hierarchical framework to represent generative design strategies in complex action spaces Ayush Raina Jonathan Cagan Christopher McComb AI4CE 25 13 0 07 Oct 2021
Shopping in the Multiverse: A Counterfactual Approach to In-Session Attribution Jacopo Tagliabue Bingqing Yu 8 6 0 20 Jul 2020
A Compositional Object-Based Approach to Learning Physical Dynamics Michael Chang T. Ullman Antonio Torralba J. Tenenbaum AI4CE OCL 241 438 0 01 Dec 2016