Woodbury Transformations for Deep Generative Flows

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Woodbury Transformations for Deep Generative Flows

27 February 2020

Bert Huang

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Papers citing "Woodbury Transformations for Deep Generative Flows"

10 / 10 papers shown

Title
Maximum Entropy Reinforcement Learning via Energy-Based Normalizing Flow Chen-Hao Chao Chien Feng Wei-Fang Sun Cheng-Kuang Lee Simon See Chun-Yi Lee 84 5 0 22 May 2024
MixerFlow: MLP-Mixer meets Normalising Flows Eshant English Matthias Kirchler Christoph Lippert TPM 63 0 0 25 Oct 2023
Training Energy-Based Normalizing Flow with Score-Matching Objectives Chen-Hao Chao Wei-Fang Sun Yen-Chang Hsu Z. Kira Chun-Yi Lee 68 5 0 24 May 2023
$FInC Flow: Fast and Invertible $k \times k$ Convolutions for Normalizing Flows$ FInC Flow: Fast and Invertible $k \times k$ Convolutions for Normalizing Flows Aditya Kallappa Sandeep Nagar Girish Varma 71 2 0 23 Jan 2023
Invertible Monotone Operators for Normalizing Flows Byeongkeun Ahn Chiyoon Kim Youngjoon Hong Hyunwoo J. Kim TPM 103 8 0 15 Oct 2022
ButterflyFlow: Building Invertible Layers with Butterfly Matrices Chenlin Meng Linqi Zhou Kristy Choi Tri Dao Stefano Ermon TPM 163 12 0 28 Sep 2022
Multi-Resolution Continuous Normalizing Flows Vikram S. Voleti Chris Finlay Adam M. Oberman Christopher Pal 83 4 0 15 Jun 2021
Self Normalizing Flows Thomas Anderson Keller Jorn W. T. Peters P. Jaini Emiel Hoogeboom Patrick Forré Max Welling 74 14 0 14 Nov 2020
Scalable Learning and MAP Inference for Nonsymmetric Determinantal Point Processes Mike Gartrell Insu Han Elvis Dohmatob Jennifer Gillenwater Victor-Emmanuel Brunel 60 16 0 17 Jun 2020
The Convolution Exponential and Generalized Sylvester Flows Emiel Hoogeboom Victor Garcia Satorras Jakub M. Tomczak Max Welling 83 29 0 02 Jun 2020