Invertible DenseNets

The eigenvalues of mega-dimensional matrices

Original

John Skilling · 1989

Earlier work this paper cites.

A stochastic estimator of the trace of the influence matrix for laplacian smoothing splines

Michael F Hutchinson · 1990

Earlier work this paper cites.

Density estimation using real nvp, 2016

Laurent Dinh, Jascha Sohl-Dickstein, and Samy Bengio · 2016

Earlier work this paper cites.

Deep residual learning for image recognition

Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016

Earlier work this paper cites.

Densely connected convolutional networks

Gao Huang, Zhuang Liu, Laurens Van Der Maaten, and Kilian Q Weinberger · 2017

Cited alongside, same era.

Invertible residual networks, 2018

Jens Behrmann, Will Grathwohl, Ricky T. Q. Chen, David Duvenaud, and Jörn-Henrik Jacobsen · 2018

Cited alongside, same era.

Regularisation of neural networks by enforcing lipschitz continuity

Original

Henry Gouk, Eibe Frank, Bernhard Pfahringer, and Michael Cree · 2018

Cited alongside, same era.

Excessive invariance causes adversarial vulnerability, 2018

Jörn-Henrik Jacobsen, Jens Behrmann, Richard Zemel, and Matthias Bethge · 2018

Cited alongside, same era.

Spectral normalization for generative adversarial networks

Original

Takeru Miyato, Toshiki Kataoka, Masanori Koyama, and Yuichi Yoshida · 2018

Later among the works it cites.

Residual flows for invertible generative modeling

Ricky T. Q. Chen, Jens Behrmann, David Duvenaud, and Jörn-Henrik Jacobsen · 2019

Later among the works it cites.

Understanding the limitations of conditional generative models, 2019

Ethan Fetaya, Jörn-Henrik Jacobsen, Will Grathwohl, and Richard Zemel · 2019

Later among the works it cites.

Hybrid Models with Deep and Invertible Features

Eric Nalisnick, Akihiro Matsukawa, Yee Whye Teh, Dilan Gorur, and Balaji Lakshminarayanan · 2019

Later among the works it cites.