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1410.8516
Cited By
NICE: Non-linear Independent Components Estimation
30 October 2014
Laurent Dinh
David M. Krueger
Yoshua Bengio
DRL
BDL
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Papers citing
"NICE: Non-linear Independent Components Estimation"
50 / 514 papers shown
Title
GraphVF: Controllable Protein-Specific 3D Molecule Generation with Variational Flow
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Comparative Study of Coupling and Autoregressive Flows through Robust Statistical Tests
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Transformed Distribution Matching for Missing Value Imputation
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Amir Dezfouli
Edwin V. Bonilla
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Weakly Supervised Label Learning Flows
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Chidubem Arachie
Bert Huang
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19 Feb 2023
Distributional Offline Policy Evaluation with Predictive Error Guarantees
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Masatoshi Uehara
Wen Sun
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38
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19 Feb 2023
Invertible Neural Skinning
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R. A. Guler
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Jian Ren
Sergey Tulyakov
Igor Gilitschenski
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32
2
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18 Feb 2023
Sampling-Based Accuracy Testing of Posterior Estimators for General Inference
Pablo Lemos
A. Coogan
Y. Hezaveh
Laurence Perreault Levasseur
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30
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06 Feb 2023
Fixed-kinetic Neural Hamiltonian Flows for enhanced interpretability and reduced complexity
Vincent Souveton
Arnaud Guillin
J. Jasche
G. Lavaux
Manon Michel
23
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03 Feb 2023
Hierarchical Disentangled Representation for Invertible Image Denoising and Beyond
Wenchao Du
Hu Chen
Yan Zhang
H. Yang
34
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31 Jan 2023
Constrained Policy Optimization with Explicit Behavior Density for Offline Reinforcement Learning
Jing Zhang
Chi Zhang
Wenjia Wang
Bing-Yi Jing
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35
7
0
28 Jan 2023
Certified Invertibility in Neural Networks via Mixed-Integer Programming
Tianqi Cui
Tom S. Bertalan
George J. Pappas
M. Morari
Ioannis G. Kevrekidis
Mahyar Fazlyab
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27
2
0
27 Jan 2023
A Denoising Diffusion Model for Fluid Field Prediction
Gefan Yang
Stefan Sommer
DiffM
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27 Jan 2023
Rigid Body Flows for Sampling Molecular Crystal Structures
Jonas Köhler
Michele Invernizzi
P. D. Haan
Frank Noé
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27
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26 Jan 2023
A Tale of Two Latent Flows: Learning Latent Space Normalizing Flow with Short-run Langevin Flow for Approximate Inference
Jianwen Xie
Y. Zhu
Yifei Xu
Dingcheng Li
Ping Li
BDL
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26
7
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23 Jan 2023
FInC Flow: Fast and Invertible
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Sandeep Nagar
Girish Varma
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2
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Deep Injective Prior for Inverse Scattering
AmirEhsan Khorashadizadeh
Vahid Khorashadi-Zadeh
Sepehr Eskandari
Guy A. E. Vandenbosch
Ivan Dokmanić
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7
0
08 Jan 2023
Explicit Abnormality Extraction for Unsupervised Motion Artifact Reduction in Magnetic Resonance Imaging
Yusheng Zhou
Hao Li
Jianan Liu
Zhengmin Kong
Tao Huang
Euijoon Ah
Zhihan Lv
Jinman Kim
David Dagan Feng
MedIm
31
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04 Jan 2023
EndoBoost: a plug-and-play module for false positive suppression during computer-aided polyp detection in real-world colonoscopy (with dataset)
Haoran Wang
Yan Zhu
W. Qin
Yizhe Zhang
Pinghong Zhou
Quanlin Li
Shuo Wang
Zhijian Song
34
2
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23 Dec 2022
Reversible Column Networks
Yuxuan Cai
Yi Zhou
Qi Han
Jianjian Sun
Xiangwen Kong
Jun Yu Li
Xiangyu Zhang
VLM
33
53
0
22 Dec 2022
Local Differential Privacy Image Generation Using Flow-based Deep Generative Models
Hisaichi Shibata
S. Hanaoka
Yang Cao
Masatoshi Yoshikawa
T. Takenaga
Y. Nomura
Naoto Hayashi
O. Abe
MedIm
30
6
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20 Dec 2022
Controllable Text Generation via Probability Density Estimation in the Latent Space
Yuxuan Gu
Xiaocheng Feng
Sicheng Ma
Lingyuan Zhang
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Bing Qin
29
18
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16 Dec 2022
Multi-Concept Customization of Text-to-Image Diffusion
Nupur Kumari
Bin Zhang
Richard Y. Zhang
Eli Shechtman
Jun-Yan Zhu
67
827
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08 Dec 2022
On the Robustness of Normalizing Flows for Inverse Problems in Imaging
Seongmin Hong
I. Park
S. Chun
43
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08 Dec 2022
M-VADER: A Model for Diffusion with Multimodal Context
Samuel Weinbach
Marco Bellagente
C. Eichenberg
Andrew M. Dai
R. Baldock
Souradeep Nanda
Bjorn Deiseroth
Koen Oostermeijer
H. Teufel
Andres Felipe Cruz Salinas
DiffM
40
11
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06 Dec 2022
Learning Sampling Distributions for Model Predictive Control
Jacob Sacks
Byron Boots
18
21
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05 Dec 2022
CONDA: Continual Unsupervised Domain Adaptation Learning in Visual Perception for Self-Driving Cars
Thanh-Dat Truong
Pierce Helton
A. Moustafa
J. Cothren
Khoa Luu
CLL
53
7
0
01 Dec 2022
Proximal Residual Flows for Bayesian Inverse Problems
J. Hertrich
BDL
TPM
44
4
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30 Nov 2022
Data-driven Science and Machine Learning Methods in Laser-Plasma Physics
Andreas Döpp
C. Eberle
S. Howard
F. Irshad
Jinpu Lin
M. Streeter
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30 Nov 2022
Taming Hyperparameter Tuning in Continuous Normalizing Flows Using the JKO Scheme
Alexander Vidal
Samy Wu Fung
Luis Tenorio
Stanley Osher
L. Nurbekyan
35
15
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30 Nov 2022
Taming Normalizing Flows
Shimon Malnick
S. Avidan
Ohad Fried
TPM
DiffM
29
1
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29 Nov 2022
Differentiable Dictionary Search: Integrating Linear Mixing with Deep Non-Linear Modelling for Audio Source Separation
Lukávs Samuel Marták
Rainer Kelz
Gerhard Widmer
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1
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28 Nov 2022
3inGAN: Learning a 3D Generative Model from Images of a Self-similar Scene
Animesh Karnewar
Oliver Wang
Tobias Ritschel
Niloy Mitra
30
12
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27 Nov 2022
Waveflow: Enforcing boundary conditions in smooth normalizing flows with application to fermionic wave functions
Luca Thiede
Chong Sun
A. Aspuru‐Guzik
41
1
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27 Nov 2022
CDDFuse: Correlation-Driven Dual-Branch Feature Decomposition for Multi-Modality Image Fusion
Zixiang Zhao
Hao Bai
Jiangshe Zhang
Yulun Zhang
Shuang Xu
Zudi Lin
Radu Timofte
Luc Van Gool
40
311
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26 Nov 2022
Re^2TAL: Rewiring Pretrained Video Backbones for Reversible Temporal Action Localization
Chen Zhao
Shuming Liu
K. Mangalam
Guohao Li
40
17
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25 Nov 2022
Learning Integrable Dynamics with Action-Angle Networks
Ameya Daigavane
Arthur Kosmala
M. Cranmer
Tess E. Smidt
S. Ho
PINN
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12
2
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24 Nov 2022
Make-A-Story: Visual Memory Conditioned Consistent Story Generation
Tanzila Rahman
Hsin-Ying Lee
Jian Ren
Sergey Tulyakov
Shweta Mahajan
Leonid Sigal
DiffM
19
68
0
23 Nov 2022
Evolutionary Generalized Zero-Shot Learning
Dubing Chen
Haofeng Zhang
Yang Long
VLM
36
1
0
23 Nov 2022
U-Flow: A U-shaped Normalizing Flow for Anomaly Detection with Unsupervised Threshold
Matías Tailanián
Álvaro Pardo
Pablo Musé
32
18
0
22 Nov 2022
Normalizing Flow with Variational Latent Representation
Hanze Dong
Shizhe Diao
Weizhong Zhang
Tong Zhang
BDL
OOD
DRL
16
0
0
21 Nov 2022
Normalizing Flows for Human Pose Anomaly Detection
Or Hirschorn
S. Avidan
3DH
24
46
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20 Nov 2022
RenderDiffusion: Image Diffusion for 3D Reconstruction, Inpainting and Generation
Titas Anciukevicius
Zexiang Xu
Matthew Fisher
Paul Henderson
Hakan Bilen
Niloy J. Mitra
Paul Guerrero
53
155
0
17 Nov 2022
NorMatch: Matching Normalizing Flows with Discriminative Classifiers for Semi-Supervised Learning
Zhongying Deng
Rihuan Ke
Carola-Bibiane Schonlieb
Angelica I Aviles-Rivero
25
0
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17 Nov 2022
On the Connection of Generative Models and Discriminative Models for Anomaly Detection
Jingxuan Pang
Chunguang Li
23
0
0
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Aspects of scaling and scalability for flow-based sampling of lattice QCD
Ryan Abbott
M. S. Albergo
Aleksandar Botev
D. Boyda
Kyle Cranmer
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Ali Razavi
Danilo Jimenez Rezende
F. Romero-López
P. Shanahan
Julian M. Urban
37
33
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Semi-Equivariant Continuous Normalizing Flows for Target-Aware Molecule Generation
Eyal Rozenberg
Daniel Freedman
29
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Self Supervised Low Dose Computed Tomography Image Denoising Using Invertible Network Exploiting Inter Slice Congruence
Sutanu Bera
P. Biswas
29
5
0
03 Nov 2022
A robust estimator of mutual information for deep learning interpretability
Davide Piras
H. Peiris
A. Pontzen
Luisa Lucie-Smith
Ningyuan Guo
Brian D. Nord
SSL
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34
15
0
31 Oct 2022
Whitening Convergence Rate of Coupling-based Normalizing Flows
Felix Dräxler
Christoph Schnörr
Ullrich Kothe
41
7
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25 Oct 2022
Novelty Detection in Time Series via Weak Innovations Representation: A Deep Learning Approach
Xinyi Wang
Mei-jen Lee
Qing Zhao
Lang Tong
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AI4TS
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0
0
24 Oct 2022
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