On the Principles of Parsimony and Self-Consistency for the Emergence of Intelligence

11 July 2022

Papers citing "On the Principles of Parsimony and Self-Consistency for the Emergence of Intelligence"

7 / 7 papers shown

Title
Physics Informed Constrained Learning of Dynamics from Static Data Pengtao Dang Tingbo Guo Melissa Fishel Guang Lin Wenzhuo Wu Sha Cao Chi Zhang PINN AI4CE 44 0 0 17 Apr 2025
GIFT: Unlocking Full Potential of Labels in Distilled Dataset at Near-zero Cost Xinyi Shang Peng Sun Tao Lin 30 2 0 23 May 2024
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges M. Bronstein Joan Bruna Taco S. Cohen Petar Velivcković GNN 161 948 0 27 Apr 2021
Deep Networks and the Multiple Manifold Problem Sam Buchanan D. Gilboa John N. Wright 158 35 0 25 Aug 2020
A General Theory of Equivariant CNNs on Homogeneous Spaces Taco S. Cohen Mario Geiger Maurice Weiler MLT AI4CE 141 289 0 05 Nov 2018
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Z. Tu Kaiming He 261 10,106 0 16 Nov 2016
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 264 5,290 0 05 Nov 2016