$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

2 March 2024

Papers citing "Uniform $\mathcal{C}^k$ Approximation of $G$-Invariant and Antisymmetric Functions, Embedding Dimensions, and Polynomial Representations"

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Title
Multi-Transformer: A New Neural Network-Based Architecture for Forecasting S&P Volatility Eduardo Ramos-Pérez P. Alonso-González J. J. Núñez-Velázquez 19 47 0 26 Sep 2021
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges M. Bronstein Joan Bruna Taco S. Cohen Petar Velivcković GNN 163 1,095 0 27 Apr 2021
Listening while Speaking: Speech Chain by Deep Learning Andros Tjandra S. Sakti Satoshi Nakamura AuLLM 115 165 0 16 Jul 2017
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas J. Guibas 3DH 3DPC 3DV PINN 210 13,886 0 02 Dec 2016