Measuring Solid Angles Beyond Dimension Three

By J. Ribando. 2006

76 citations recorded by the source corpus.

Subfields: Computational Mechanics, Geometry and Topology, Mechanical Engineering

How researchers see this paper

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

In Computational Mechanics

1. Rahaf Aljundi
2. Matthias Beck
3. Min Lin
4. Yoshua Bengio
5. Sinai Robins
6. Baptiste Goujaud
7. Dougal Maclaurin
8. Hugo Larochelle

In Geometry and Topology

1. Sinai Robins
2. Matthias Beck
3. Min Lin
4. Yoshua Bengio
5. Rahaf Aljundi
6. Steven V. Sam
7. Baptiste Goujaud
8. Jeffrey C. Lagarias

In Mechanical Engineering

1. Matthias Beck
2. Min Lin
3. Yoshua Bengio
4. Rahaf Aljundi
5. Sinai Robins
6. Baptiste Goujaud

Citations in the corpus

• Gradient based sample selection for online continual learning (2019, background): “However, this objective is hard to minimize since the formula of the solid angle is complex, as shown in [11] and [2].”
• Online continual learning with no task boundaries (2019, background): “However, this objective is hard to minimize since the formula of the solid angle is complex, as shown in (Ribando, 2006) and (Beck et al.”
• Positivity theorems for solid-angle polynomials (2009, background): “In a recent paper, Ribando [Rib] rediscovered Aomoto’s results, but gave different proofs, so that his paper has the redeeming feature of having a somewhat simplified proof of a simpler version of Aomoto’s results.”
• Continual Learning in Neural Networks (2019, background): “However, this objective is hard to minimize since the formula of the solid angle is complex, as shown in [123] and [15].”