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We propose injective generative models called Trumpets that generalize invertible normalizing flows.
On the singular values of a product of completely continuous operators
Alfred Horn · 1950
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William M Boothby · 1986
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A stochastic estimator of the trace of the influence matrix for laplacian smoothing splines
Michael F Hutchinson · 1989
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Density estimation using real nvp
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Improving variational inference with inverse autoregressive flow
Diederik P Kingma, Tim Salimans, Rafal Jozefowicz, Xi Chen, Ilya Sutskever, and Max Welling · 2016
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Pixel recurrent neural networks
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Compressed sensing using generative models
Ashish Bora, Ajil Jalal, Eric Price, and Alexandros G Dimakis · 2017
Residual flows for invertible generative modeling
Ricky TQ Chen, Jens Behrmann, David Duvenaud, and Jörn-Henrik Jacobsen · 2019
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Conor Durkan, Artur Bekasov, Iain Murray, and George Papamakarios · 2019
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Gan-based projector for faster recovery with convergence guarantees in linear inverse problems
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Flows for simultaneous manifold learning and density estimation
Johann Brehmer and Kyle Cranmer · 2020
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Normalizing flows across dimensions
Edmond Cunningham, Renos Zabounidis, Abhinav Agrawal, Ina Fiterau, and Daniel Sheldon · 2020
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