Universal approximation property of invertible neural networks

15 April 2022

Papers citing "Universal approximation property of invertible neural networks"

7 / 7 papers shown

Title
RIE-SenseNet: Riemannian Manifold Embedding of Multi-Source Industrial Sensor Signals for Robust Pattern Recognition Jiaju Kang Puyu Han Yang Chun Xu Wang Luqi Gong 71 0 0 04 Feb 2025
Stable Training of Normalizing Flows for High-dimensional Variational Inference Daniel Andrade BDL TPM 43 1 0 26 Feb 2024
Whitening Convergence Rate of Coupling-based Normalizing Flows Felix Dräxler Christoph Schnörr Ullrich Kothe 34 7 0 25 Oct 2022
Identifiability of deep generative models without auxiliary information Bohdan Kivva Goutham Rajendran Pradeep Ravikumar Bryon Aragam DRL 23 48 0 20 Jun 2022
ELF: Exact-Lipschitz Based Universal Density Approximator Flow Achintya Gopal 13 1 0 13 Dec 2021
Learning the Koopman Eigendecomposition: A Diffeomorphic Approach Petar Bevanda Johannes Kirmayr Stefan Sosnowski Sandra Hirche 23 9 0 15 Oct 2021
Convex Potential Flows: Universal Probability Distributions with Optimal Transport and Convex Optimization Chin-Wei Huang Ricky T. Q. Chen Christos Tsirigotis Aaron Courville OT 112 95 0 10 Dec 2020