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Variational Inference with Normalizing Flows
v1v2v3v4v5v6 (latest)

Variational Inference with Normalizing Flows

21 May 2015
Danilo Jimenez Rezende
S. Mohamed
    DRLBDL
ArXiv (abs)PDFHTML

Papers citing "Variational Inference with Normalizing Flows"

50 / 2,268 papers shown
Title
Compression, Regularity, Randomness and Emergent Structure: Rethinking Physical Complexity in the Data-Driven Era
Compression, Regularity, Randomness and Emergent Structure: Rethinking Physical Complexity in the Data-Driven Era
Nima Dehghani
AI4CE
110
0
0
12 May 2025
MAGE:A Multi-stage Avatar Generator with Sparse Observations
MAGE:A Multi-stage Avatar Generator with Sparse Observations
Fangyu Du
Yang Yang
Xuehao Gao
Hongye Hou
VGen
56
0
0
09 May 2025
Generating Reliable Synthetic Clinical Trial Data: The Role of Hyperparameter Optimization and Domain Constraints
Generating Reliable Synthetic Clinical Trial Data: The Role of Hyperparameter Optimization and Domain Constraints
Waldemar Hahn
Jan-Niklas Eckardt
Christoph Röllig
Martin Sedlmayr
J. Middeke
M. Wolfien
76
0
0
08 May 2025
Boosting Statistic Learning with Synthetic Data from Pretrained Large Models
Boosting Statistic Learning with Synthetic Data from Pretrained Large Models
Jialong Jiang
Wenkang Hu
Jian Huang
Yuling Jiao
Xu Liu
DiffM
83
0
0
08 May 2025
Hamiltonian Normalizing Flows as kinetic PDE solvers: application to the 1D Vlasov-Poisson Equations
Hamiltonian Normalizing Flows as kinetic PDE solvers: application to the 1D Vlasov-Poisson Equations
Vincent Souveton
Sébastien Terrana
96
0
0
07 May 2025
Conformal Prediction with Corrupted Labels: Uncertain Imputation and Robust Re-weighting
Conformal Prediction with Corrupted Labels: Uncertain Imputation and Robust Re-weighting
Shai Feldman
Stephen Bates
Yaniv Romano
181
0
0
07 May 2025
Localized Diffusion Models for High Dimensional Distributions Generation
Localized Diffusion Models for High Dimensional Distributions Generation
Georg Gottwald
Shuigen Liu
Youssef Marzouk
Sebastian Reich
X. Tong
DiffM
71
1
0
07 May 2025
Real-Time Person Image Synthesis Using a Flow Matching Model
Real-Time Person Image Synthesis Using a Flow Matching Model
Jiwoo Jeong
Kirok Kim
Wooju Kim
Nam-Joon Kim
3DH
111
0
0
06 May 2025
Physics-Informed Sylvester Normalizing Flows for Bayesian Inference in Magnetic Resonance Spectroscopy
Physics-Informed Sylvester Normalizing Flows for Bayesian Inference in Magnetic Resonance Spectroscopy
Julian P Merkofer
D. V. D. Sande
A. Bhogal
Ruud J. G. van Sloun
70
0
0
06 May 2025
Learning and Transferring Physical Models through Derivatives
Learning and Transferring Physical Models through Derivatives
Alessandro Trenta
Andrea Cossu
Davide Bacciu
AI4CE
78
0
0
02 May 2025
Distilling Two-Timed Flow Models by Separately Matching Initial and Terminal Velocities
Distilling Two-Timed Flow Models by Separately Matching Initial and Terminal Velocities
Pramook Khungurn
Pratch Piyawongwisal
Sira Sriswadi
Supasorn Suwajanakorn
146
0
0
02 May 2025
What's Wrong with Your Synthetic Tabular Data? Using Explainable AI to Evaluate Generative Models
What's Wrong with Your Synthetic Tabular Data? Using Explainable AI to Evaluate Generative Models
Jan Kapar
Niklas Koenen
Martin Jullum
114
0
0
29 Apr 2025
Unsupervised Surrogate Anomaly Detection
Unsupervised Surrogate Anomaly Detection
Simon Klüttermann
Tim Katzke
Emmanuel Müller
47
0
0
29 Apr 2025
Model uncertainty quantification using feature confidence sets for outcome excursions
Model uncertainty quantification using feature confidence sets for outcome excursions
Junting Ren
Armin Schwartzman
100
0
0
28 Apr 2025
SD-KDE: Score-Debiased Kernel Density Estimation
SD-KDE: Score-Debiased Kernel Density Estimation
Elliot L. Epstein
Rajat Dwaraknath
Thanawat Sornwanee
John Winnicki
Jerry Weihong Liu
41
1
0
27 Apr 2025
Effortless, Simulation-Efficient Bayesian Inference using Tabular Foundation Models
Effortless, Simulation-Efficient Bayesian Inference using Tabular Foundation Models
Julius Vetter
Manuel Gloeckler
Daniel Gedon
Jakob H Macke
117
1
0
24 Apr 2025
ExOSITO: Explainable Off-Policy Learning with Side Information for Intensive Care Unit Blood Test Orders
ExOSITO: Explainable Off-Policy Learning with Side Information for Intensive Care Unit Blood Test Orders
Zongliang Ji
Andre Carlos Kajdacsy-Balla Amaral
Anna Goldenberg
Rahul G. Krishnan
OffRL
77
0
0
24 Apr 2025
Likelihood-Free Variational Autoencoders
Likelihood-Free Variational Autoencoders
Chen Xu
Qiang Wang
Lijun Sun
DiffMDRL
209
0
0
24 Apr 2025
Statistical Guarantees in Synthetic Data through Conformal Adversarial Generation
Statistical Guarantees in Synthetic Data through Conformal Adversarial Generation
Rahul Vishwakarma
Shrey Dharmendra Modi
Vishwanath Seshagiri
290
0
0
23 Apr 2025
Riemannian Neural Geodesic Interpolant
Riemannian Neural Geodesic Interpolant
Jiawen Wu
Bingguang Chen
Yuyi Zhou
Qi Meng
Rongchan Zhu
Zhi-Ming Ma
65
0
0
22 Apr 2025
Learning Energy-Based Generative Models via Potential Flow: A Variational Principle Approach to Probability Density Homotopy Matching
Learning Energy-Based Generative Models via Potential Flow: A Variational Principle Approach to Probability Density Homotopy Matching
Junn Yong Loo
Michelle Adeline
Julia Kaiwen Lau
Fang Yu Leong
Hwa Hui Tew
Arghya Pal
Vishnu Monn Baskaran
Chee-Ming Ting
Raphaël C.-W. Phan
BDL
107
0
0
22 Apr 2025
Latent Bayesian Optimization via Autoregressive Normalizing Flows
Latent Bayesian Optimization via Autoregressive Normalizing Flows
Seunghun Lee
Jinyoung Park
Jaewon Chu
Minseo Yoon
H. Kim
BDL
92
2
0
21 Apr 2025
Spectral Dictionary Learning for Generative Image Modeling
Spectral Dictionary Learning for Generative Image Modeling
Andrew Kiruluta
DiffM
128
1
0
21 Apr 2025
On the minimax optimality of Flow Matching through the connection to kernel density estimation
On the minimax optimality of Flow Matching through the connection to kernel density estimation
Lea Kunkel
Mathias Trabs
85
1
0
17 Apr 2025
Image Editing with Diffusion Models: A Survey
Image Editing with Diffusion Models: A Survey
Jia Wang
Jie Hu
Xiaoqi Ma
Hanghang Ma
Xiaoming Wei
Enhua Wu
148
1
0
17 Apr 2025
Voice Conversion with Diverse Intonation using Conditional Variational Auto-Encoder
Voice Conversion with Diverse Intonation using Conditional Variational Auto-Encoder
Soobin Suh
Dabi Ahn
Heewoong Park
Jonghun Park
BDLDRL
53
0
0
16 Apr 2025
Wavelet-based Variational Autoencoders for High-Resolution Image Generation
Wavelet-based Variational Autoencoders for High-Resolution Image Generation
Andrew Kiruluta
DiffM
69
0
0
16 Apr 2025
Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching
Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching
Aaron J. Havens
Benjamin Kurt Miller
Bing Yan
Carles Domingo-Enrich
Anuroop Sriram
...
Brandon Amos
Brian Karrer
Xiang Fu
Guan-Horng Liu
Ricky T. Q. Chen
DiffM
181
3
0
16 Apr 2025
Simulation-based inference for stochastic nonlinear mixed-effects models with applications in systems biology
Simulation-based inference for stochastic nonlinear mixed-effects models with applications in systems biology
Henrik Häggström
Sebastian Persson
Marija Cvijovic
Umberto Picchini
61
0
0
15 Apr 2025
A real-time anomaly detection method for robots based on a flexible and sparse latent space
A real-time anomaly detection method for robots based on a flexible and sparse latent space
Taewook Kang
Bum-Jae You
Juyoun Park
Yisoo Lee
DRL
114
0
0
15 Apr 2025
An Image is Worth $K$ Topics: A Visual Structural Topic Model with Pretrained Image Embeddings
An Image is Worth KKK Topics: A Visual Structural Topic Model with Pretrained Image Embeddings
Matías Piqueras
Alexandra Segerberg
Matteo Magnani
Måns Magnusson
Nataša Sladoje
106
0
0
14 Apr 2025
Improving the evaluation of samplers on multi-modal targets
Improving the evaluation of samplers on multi-modal targets
Louis Grenioux
Maxence Noble
Marylou Gabrié
454
0
0
11 Apr 2025
Deep Sturm--Liouville: From Sample-Based to 1D Regularization with Learnable Orthogonal Basis Functions
Deep Sturm--Liouville: From Sample-Based to 1D Regularization with Learnable Orthogonal Basis Functions
David Vigouroux
Joseba Dalmau
Louis Bethune
Victor Boutin
69
0
0
09 Apr 2025
Mechanistic Anomaly Detection for "Quirky" Language Models
Mechanistic Anomaly Detection for "Quirky" Language Models
David Johnston
Arkajyoti Chakraborty
Nora Belrose
76
0
0
09 Apr 2025
Reconstruction-Free Anomaly Detection with Diffusion Models via Direct Latent Likelihood Evaluation
Reconstruction-Free Anomaly Detection with Diffusion Models via Direct Latent Likelihood Evaluation
Shunsuke Sakai
Tatsuhito Hasegawa
98
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0
08 Apr 2025
Gaussian Mixture Flow Matching Models
Gaussian Mixture Flow Matching Models
Hansheng Chen
Kai Zhang
Hao Tan
Zexiang Xu
Fujun Luan
Leonidas Guibas
Gordon Wetzstein
Sai Bi
DiffM
147
2
0
07 Apr 2025
Explaining Low Perception Model Competency with High-Competency Counterfactuals
Explaining Low Perception Model Competency with High-Competency Counterfactuals
Sara Pohland
Claire Tomlin
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Noise Augmented Fine Tuning for Mitigating Hallucinations in Large Language Models
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Afshin Khadangi
Amir Sartipi
Igor Tchappi
Ramin Bahmani
104
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04 Apr 2025
Taming High-Dimensional Dynamics: Learning Optimal Projections onto Spectral Submanifolds
Taming High-Dimensional Dynamics: Learning Optimal Projections onto Spectral Submanifolds
Hugo Buurmeijer
Luis A. Pabon
J. I. Alora
Roshan S. Kaundinya
George Haller
Marco Pavone
116
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ORAL: Prompting Your Large-Scale LoRAs via Conditional Recurrent Diffusion
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Rana Muhammad Shahroz Khan
Dongwen Tang
Pingzhi Li
Kai Wang
Tianlong Chen
AI4CE
524
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Beyond Academic Benchmarks: Critical Analysis and Best Practices for Visual Industrial Anomaly Detection
Beyond Academic Benchmarks: Critical Analysis and Best Practices for Visual Industrial Anomaly Detection
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Yacine Bouaouni
Alexandre Briot
Dick Ameln
Souhaiel Khalfaoui
S. Akçay
90
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Multi-Scale Invertible Neural Network for Wide-Range Variable-Rate Learned Image Compression
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Hanyue Tu
Siqi Wu
Li Li
Wengang Zhou
Haoyang Li
DRL
72
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0
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A friendly introduction to triangular transport
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Daniel Sharp
M. Le Provost
Youssef Marzouk
95
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Low Stein Discrepancy via Message-Passing Monte Carlo
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T. Konstantin Rusch
Jakob Zech
Daniela Rus
67
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0
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Continual learning via probabilistic exchangeable sequence modelling
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Hanwen Xing
Christopher Yau
CLLBDL
128
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0
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Debiasing Kernel-Based Generative Models
Debiasing Kernel-Based Generative Models
Tian Qin
Wei-Min Huang
192
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0
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Risk-Based Thresholding for Reliable Anomaly Detection in Concentrated Solar Power Plants
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Sukanya Patra
Souhaib Ben Taieb
97
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0
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ARFlow: Human Action-Reaction Flow Matching with Physical Guidance
ARFlow: Human Action-Reaction Flow Matching with Physical Guidance
Wentao Jiang
Jingya Wang
Haotao Lu
Kaiyang Ji
Baoxiong Jia
Siyuan Huang
89
0
0
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Deeply Supervised Flow-Based Generative Models
Deeply Supervised Flow-Based Generative Models
Inkyu Shin
Chenglin Yang
Liang-Chieh Chen
93
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Theoretical Foundation of Flow-Based Time Series Generation: Provable Approximation, Generalization, and Efficiency
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Jiangxuan Long
Zhao Song
Chiwun Yang
AI4TS
482
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