Unsupervised Neural Learning on Lie Group

By Simone G. O. Fiori. 2002

26 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Control and Systems Engineering, Signal Processing

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Sergey Levine
2. Luc Van Gool
3. Irina Higgins
4. Yoshua Bengio
5. Alexander Lerchner
6. Loic Matthey
7. Sébastien Racanière
8. Danilo Jimenez Rezende

In Control and Systems Engineering

1. Sébastien Racanière
2. Irina Higgins
3. David Pfau
4. Zhiwu Huang
5. Luc Van Gool
6. Danilo Jimenez Rezende
7. Thomas Probst
8. Chengde Wan

In Signal Processing

1. David Pfau
2. Zhiwu Huang
3. Luc Van Gool
4. Danilo Jimenez Rezende
5. David Amos
6. Thomas Probst
7. Alexander Lerchner
8. Loic Matthey

Citations in the corpus

• Towards a Definition of Disentangled Representations (2018, background): “…is worth mentioning many other ways ideas from group theory have influenced machine learning, such as orthonormality constraints on network weights [30, 18], extensions to convolutional network architectures that build in full affine invariance rather than just translation invariance [33], and…”
• Deep Learning on Lie Groups for Skeleton-Based Action Recognition (2016, background): “Already quite some works [46, 34, 2, 29, 33, 14, 15] have applied aspects of Lie group theory to deep neural networks.”