BASIC TOPOLOGY
By Andrew Justin Blumberg. 2002
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Bernhard Schölkopf
- Silvio Savarese
- Yoshua Bengio
- Michel Besserve
- Dacheng Tao
- Sergey Levine
- Ian David Reid
- Jitendra Malik
Citations in the corpus
- Counterfactuals uncover the modular structure of deep generative models (2018, background): “Following a result stated in Armstrong [2013], since Z is compact and the codomain of g M is Hausdorff (because Euclidean), then a continuous (by definition) and injective g M is an embedding.”
- Infinite Hamilton cycles in squares of locally finite graphs (2009, methodology): “Unless otherwise stated, we will be using the terminology of [11] for graph theoretical concepts and that of [1] for topological ones.”
- TopNet: Structural Point Cloud Decoder (2019, methodology): “There exists several equivalent definitions of topological spaces, and for our purposes, we use the following [2]:”
- The Expressive Power of a Class of Normalizing Flow Models (2020, background): “Obviously, due to their invertible nature, a normalizing flow can only transform a distribution to one with a homeomorphic support [Armstrong, 2013].”
- High order edge elements on simplicial meshes (2007, unknown): “, [4, 21]) and explain the adopted notation.”
- Differential Geometry and Lie Groups (2020, background): “For more details, consult Munkres [89], Massey [78, 79], Armstrong [5], or Tu [112].”
- Coverage and hole-detection in sensor networks via homology (2005, methodology): “For further reading of various degrees of depth, see [10], [11], [12]; for an introduction in the context of applications and computations see the recent text by Kaczynski et al.”