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2003.01941
Cited By
Gaussianization Flows
International Conference on Artificial Intelligence and Statistics (AISTATS), 2020
4 March 2020
Chenlin Meng
Yang Song
Jiaming Song
Stefano Ermon
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Papers citing
"Gaussianization Flows"
20 / 20 papers shown
Who Stole Your Data? A Method for Detecting Unauthorized RAG Theft
Peiyang Liu
Ziqiang Cui
Di Liang
Wei Ye
132
1
0
09 Oct 2025
Recent Advances in Simulation-based Inference for Gravitational Wave Data Analysis
Bo-Hua Liang
He Wang
294
2
0
15 Jul 2025
NF-SLAM: Effective, Normalizing Flow-supported Neural Field representations for object-level visual SLAM in automotive applications
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2024
Li Cui
Yang Ding
Richard Hartley
Zirui Xie
L. Kneip
Zhenghua Yu
311
0
0
14 Mar 2025
TERM Model: Tensor Ring Mixture Model for Density Estimation
Ruituo Wu
Jiani Liu
Ce Zhu
Anh-Huy Phan
Ivan Oseledets
Yipeng Liu
219
2
0
13 Dec 2023
MixerFlow: MLP-Mixer meets Normalising Flows
Eshant English
Matthias Kirchler
Yingzhen Li
TPM
229
0
0
25 Oct 2023
Kernelised Normalising Flows
International Conference on Learning Representations (ICLR), 2023
Eshant English
Matthias Kirchler
Christoph Lippert
TPM
382
0
0
27 Jul 2023
On the Convergence Rate of Gaussianization with Random Rotations
International Conference on Machine Learning (ICML), 2023
Felix Dräxler
Lars Kühmichel
Armand Rousselot
Jens Müller
Christoph Schnörr
Ullrich Kothe
223
5
0
23 Jun 2023
Nonparametric Generative Modeling with Conditional Sliced-Wasserstein Flows
International Conference on Machine Learning (ICML), 2023
Chao Du
Tianbo Li
Tianyu Pang
Shuicheng Yan
Min Lin
DiffM
BDL
342
14
0
03 May 2023
Concrete Score Matching: Generalized Score Matching for Discrete Data
Neural Information Processing Systems (NeurIPS), 2022
Chenlin Meng
Kristy Choi
Jiaming Song
Stefano Ermon
DiffM
554
112
0
02 Nov 2022
Whitening Convergence Rate of Coupling-based Normalizing Flows
Neural Information Processing Systems (NeurIPS), 2022
Felix Dräxler
Christoph Schnörr
Ullrich Kothe
218
7
0
25 Oct 2022
Neural PCA for Flow-Based Representation Learning
International Joint Conference on Artificial Intelligence (IJCAI), 2022
Shen Li
Bryan Hooi
DRL
169
1
0
23 Aug 2022
Orthonormal Convolutions for the Rotation Based Iterative Gaussianization
International Conference on Information Photonics (ICIP), 2022
Valero Laparra
Alexander Hepburn
J. E. Johnson
Jesús Malo
188
4
0
08 Jun 2022
Differentiable Gaussianization Layers for Inverse Problems Regularized by Deep Generative Models
Dongzhuo Li
MedIm
363
2
0
07 Dec 2021
Low-rank Characteristic Tensor Density Estimation Part II: Compression and Latent Density Estimation
IEEE Transactions on Signal Processing (IEEE TSP), 2021
Magda Amiridi
Nikos Kargas
N. Sidiropoulos
232
15
0
20 Jun 2021
Normalizing Flows for Knockoff-free Controlled Feature Selection
Neural Information Processing Systems (NeurIPS), 2021
Derek Hansen
Brian Manzo
Jeffrey Regier
OOD
243
6
0
03 Jun 2021
Jacobian Determinant of Normalizing Flows
Huadong Liao
Jiawei He
DRL
184
10
0
12 Feb 2021
Transforming Gaussian Processes With Normalizing Flows
Juan Maroñas
Oliver Hamelijnck
Jeremias Knoblauch
Theodoros Damoulas
435
36
0
03 Nov 2020
Unifying supervised learning and VAEs -- coverage, systematics and goodness-of-fit in normalizing-flow based neural network models for astro-particle reconstructions
T. Glüsenkamp
264
3
0
13 Aug 2020
Sliced Iterative Normalizing Flows
B. Dai
U. Seljak
417
38
0
01 Jul 2020
An Empirical Comparison of GANs and Normalizing Flows for Density Estimation
Tianci Liu
Jeffrey Regier
GAN
TPM
168
5
0
17 Jun 2020
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