Machine Learning · Computer Science
Geometric Deep Learning: a Temperature Based Analysis of Graph Neural Networks
M. Lapenna, F. Faglioni, F. Zanchetta, R. Fioresi
2023-09-06
Mathematical Physics · Physics
Mathematical Foundations of Geometric Quantization
A. Echeverria-Enriquez, M. C. Munoz-Lecanda, N. Roman-Roy, C. Victoria-Monge
2016-04-11
Computer Vision and Pattern Recognition · Computer Science
Geometric deep learning: going beyond Euclidean data
Michael M. Bronstein, Joan Bruna, Yann LeCun, Arthur Szlam +1
2017-08-02
Machine Learning · Computer Science
Geometric Understanding of Deep Learning
Na Lei, Zhongxuan Luo, Shing-Tung Yau, David Xianfeng Gu
2018-06-01
Machine Learning · Computer Science
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
Michael M. Bronstein, Joan Bruna, Taco Cohen, Petar Veličković
2021-05-04
Machine Learning · Computer Science
A Tutorial on Distance Metric Learning: Mathematical Foundations, Algorithms, Experimental Analysis, Prospects and Challenges (with Appendices on Mathematical Background and Detailed Algorithms Explanation)
Juan Luis Suárez-Díaz, Salvador García, Francisco Herrera
2020-08-20
Machine Learning · Statistics
Deep kernel learning for integral measurements
Carl Jidling, Johannes Hendriks, Thomas B. Schön, Adrian Wills
2019-09-05
Artificial Intelligence · Computer Science
A Survey of Deep Learning for Mathematical Reasoning
Pan Lu, Liang Qiu, Wenhao Yu, Sean Welleck +1
2023-06-23
Machine Learning · Computer Science
Physics-based Deep Learning
N. Thuerey, B. Holzschuh, P. Holl, G. Kohl +4
2025-03-28