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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
Theoretical Foundation of Flow-Based Time Series Generation: Provable Approximation, Generalization, and Efficiency
Theoretical Foundation of Flow-Based Time Series Generation: Provable Approximation, Generalization, and Efficiency
Jiangxuan Long
Zhao Song
Chiwun Yang
AI4TS
482
0
0
18 Mar 2025
Beyond RGB: Adaptive Parallel Processing for RAW Object Detection
Beyond RGB: Adaptive Parallel Processing for RAW Object Detection
Shani Gamrian
Hila Barel
Feiran Li
Masakazu Yoshimura
Daisuke Iso
92
0
0
17 Mar 2025
Deep Belief Markov Models for POMDP Inference
Deep Belief Markov Models for POMDP Inference
Giacomo Arcieri
K. Papakonstantinou
D. Štraub
Eleni Chatzi
86
0
0
17 Mar 2025
On Local Posterior Structure in Deep Ensembles
On Local Posterior Structure in Deep Ensembles
Mikkel Jordahn
Jonas Vestergaard Jensen
Mikkel N. Schmidt
Michael Riis Andersen
UQCVBDLOOD
151
0
0
17 Mar 2025
HyConEx: Hypernetwork classifier with counterfactual explanations
HyConEx: Hypernetwork classifier with counterfactual explanations
Patryk Marszałek
Ulvi Movsum-zada
Oleksii Furman
Kamil Ksiazek
Przemysław Spurek
Marek Śmieja
75
0
0
16 Mar 2025
Sample and Map from a Single Convex Potential: Generation using Conjugate Moment Measures
Sample and Map from a Single Convex Potential: Generation using Conjugate Moment Measures
Nina Vesseron
Louis Béthune
Marco Cuturi
135
0
0
13 Mar 2025
Bayesian Prompt Flow Learning for Zero-Shot Anomaly Detection
Bayesian Prompt Flow Learning for Zero-Shot Anomaly Detection
Zhen Qu
Xian Tao
Xinyi Gong
Shichen Qu
Qiyu Chen
Zhengtao Zhang
Xingang Wang
Guiguang Ding
VLM
173
1
0
13 Mar 2025
Theoretical Guarantees for High Order Trajectory Refinement in Generative Flows
Chengyue Gong
Xiaoyu Li
Yingyu Liang
Jiangxuan Long
Zhenmei Shi
Zhao Song
Yu Tian
138
3
0
12 Mar 2025
Temporal Difference Flows
Jesse Farebrother
Matteo Pirotta
Andrea Tirinzoni
Rémi Munos
A. Lazaric
Ahmed Touati
AI4TSAIFin
166
1
0
12 Mar 2025
Multilevel Generative Samplers for Investigating Critical Phenomena
Ankur Singha
E. Cellini
K. Nicoli
K. Jansen
Stefan Kühn
Shinichi Nakajima
106
1
0
11 Mar 2025
HERO: Human Reaction Generation from Videos
Chengjun Yu
Wei-dong Zhai
Yuhang Yang
Yang Cao
Zheng-jun Zha
VGen
125
0
0
11 Mar 2025
Ideas in Inference-time Scaling can Benefit Generative Pre-training Algorithms
Jiaming Song
Linqi Zhou
DiffM
118
1
0
10 Mar 2025
MM-StoryAgent: Immersive Narrated Storybook Video Generation with a Multi-Agent Paradigm across Text, Image and Audio
Xuenan Xu
Jiahao Mei
Chenliang Li
Yuning Wu
Ming Yan
Shaopeng Lai
J.N. Zhang
Mengyue Wu
VGenLLMAG
144
6
0
07 Mar 2025
FuseChat-3.0: Preference Optimization Meets Heterogeneous Model Fusion
Ziyi Yang
Fanqi Wan
Longguang Zhong
Canbin Huang
Guosheng Liang
Xiaojun Quan
MoMe
140
2
0
06 Mar 2025
Generative Artificial Intelligence in Robotic Manipulation: A Survey
Kun Zhang
Peng Yun
Jun Cen
Junhao Cai
DiDi Zhu
...
Qifeng Chen
Jia Pan
Wei Zhang
Bo Yang
Hua Chen
177
1
0
05 Mar 2025
Rare event modeling with self-regularized normalizing flows: what can we learn from a single failure?
Rare event modeling with self-regularized normalizing flows: what can we learn from a single failure?
Charles Dawson
Van Tran
Max Z. Li
Chuchu Fan
76
0
0
28 Feb 2025
Discovering Antagonists in Networks of Systems: Robot Deployment
Discovering Antagonists in Networks of Systems: Robot Deployment
Ingeborg Wenger
P. Eberhard
Henrik Ebel
81
0
0
27 Feb 2025
A Dual-Purpose Framework for Backdoor Defense and Backdoor Amplification in Diffusion Models
A Dual-Purpose Framework for Backdoor Defense and Backdoor Amplification in Diffusion Models
Vu Tuan Truong Long
Bao Le
DiffMAAML
535
0
0
26 Feb 2025
Bayesian Computation in Deep Learning
Bayesian Computation in Deep Learning
Wenlong Chen
Bolian Li
Ruqi Zhang
Yingzhen Li
BDL
114
0
0
25 Feb 2025
Methods and Trends in Detecting Generated Images: A Comprehensive Review
Methods and Trends in Detecting Generated Images: A Comprehensive Review
Arpan Mahara
N. Rishe
AAML
448
1
0
24 Feb 2025
Towards Hierarchical Rectified Flow
Towards Hierarchical Rectified Flow
Yichi Zhang
Yici Yan
Alex Schwing
Zhizhen Zhao
121
2
0
24 Feb 2025
Accurate Forgetting for Heterogeneous Federated Continual Learning
Accurate Forgetting for Heterogeneous Federated Continual Learning
Abudukelimu Wuerkaixi
Sen Cui
J.N. Zhang
Kunda Yan
Bo Han
Gang Niu
Lei Fang
Changshui Zhang
Masashi Sugiyama
250
12
0
20 Feb 2025
Maximum Entropy Reinforcement Learning with Diffusion Policy
Maximum Entropy Reinforcement Learning with Diffusion Policy
Xiaoyi Dong
Jian Cheng
Xinsong Zhang
129
2
0
17 Feb 2025
In-Context Parametric Inference: Point or Distribution Estimators?
In-Context Parametric Inference: Point or Distribution Estimators?
Sarthak Mittal
Yoshua Bengio
Nikolay Malkin
Guillaume Lajoie
130
0
0
17 Feb 2025
Mesh2SSM++: A Probabilistic Framework for Unsupervised Learning of Statistical Shape Model of Anatomies from Surface Meshes
Mesh2SSM++: A Probabilistic Framework for Unsupervised Learning of Statistical Shape Model of Anatomies from Surface Meshes
Krithika S. Iyer
Mokshagna Sai Teja Karanam
Shireen Y. Elhabian
185
0
0
11 Feb 2025
Neural Flow Samplers with Shortcut Models
Neural Flow Samplers with Shortcut Models
Wuhao Chen
Zijing Ou
Yingzhen Li
244
2
0
11 Feb 2025
Amortized In-Context Bayesian Posterior Estimation
Sarthak Mittal
Niels Leif Bracher
Guillaume Lajoie
P. Jaini
Marcus A. Brubaker
114
2
0
10 Feb 2025
Improving Environment Novelty Quantification for Effective Unsupervised Environment Design
Jayden Teoh
Wenjun Li
Pradeep Varakantham
111
2
0
08 Feb 2025
An inpainting approach to manipulate asymmetry in pre-operative breast images
An inpainting approach to manipulate asymmetry in pre-operative breast images
Helena Montenegro
M. Cardoso
J. Cardoso
MedIm
166
0
0
08 Feb 2025
Flow-based Conformal Prediction for Multi-dimensional Time Series
Junghwan Lee
Chen Xu
Yao Xie
AI4TSAI4CE
83
0
0
08 Feb 2025
Leveraging Constraint Violation Signals For Action-Constrained Reinforcement Learning
Leveraging Constraint Violation Signals For Action-Constrained Reinforcement Learning
J. Brahmanage
Jiajing Ling
Akshat Kumar
151
0
0
08 Feb 2025
Orthogonal Representation Learning for Estimating Causal Quantities
Orthogonal Representation Learning for Estimating Causal Quantities
Valentyn Melnychuk
Dennis Frauen
Jonas Schweisthal
Stefan Feuerriegel
CMLOODBDL
138
2
0
06 Feb 2025
Distribution Transformers: Fast Approximate Bayesian Inference With On-The-Fly Prior Adaptation
Distribution Transformers: Fast Approximate Bayesian Inference With On-The-Fly Prior Adaptation
George Whittle
Juliusz Ziomek
Jacob Rawling
Michael A. Osborne
210
4
0
04 Feb 2025
Statistical Inference for Generative Model Comparison
Statistical Inference for Generative Model Comparison
Zijun Gao
Yan Sun
205
0
0
31 Jan 2025
One Model to Forecast Them All and in Entity Distributions Bind Them
One Model to Forecast Them All and in Entity Distributions Bind Them
Kutay Bölat
Simon Tindemans
AI4TS
103
0
0
26 Jan 2025
CGI: Identifying Conditional Generative Models with Example Images
CGI: Identifying Conditional Generative Models with Example Images
Zhi Zhou
Hao-Zhe Tan
Peng-Xiao Song
Lan-Zhe Guo
DiffM
103
0
0
23 Jan 2025
Identification of Nonparametric Dynamic Causal Structure and Latent Process in Climate System
Identification of Nonparametric Dynamic Causal Structure and Latent Process in Climate System
Minghao Fu
Zhen Zhang
Zijian Li
Yujia Zheng
Ignavier Ng
Yingyao Hu
Kun Zhang
CML
93
0
0
21 Jan 2025
Towards Accurate Unified Anomaly Segmentation
Towards Accurate Unified Anomaly Segmentation
Wenxin Ma
Qingsong Yao
Xiang Zhang
Zhelong Huang
Zihang Jiang
S. Kevin Zhou
136
2
0
21 Jan 2025
Bayesian Adaptive Calibration and Optimal Design
Bayesian Adaptive Calibration and Optimal Design
Rafael Oliveira
Dino Sejdinovic
David Howard
Edwin Bonilla
236
0
0
20 Jan 2025
Score-based 3D molecule generation with neural fields
Score-based 3D molecule generation with neural fields
Matthieu Kirchmeyer
Pedro H. O. Pinheiro
Saeed Saremi
DiffM
135
2
0
15 Jan 2025
Simulating the Hubbard Model with Equivariant Normalizing Flows
Simulating the Hubbard Model with Equivariant Normalizing Flows
Dominic Schuh
Janik Kreit
Evan Berkowitz
L. Funcke
Thomas Luu
K. Nicoli
Marcel Rodekamp
84
4
0
13 Jan 2025
Conditional Diffusion Model for Electrical Impedance Tomography
Conditional Diffusion Model for Electrical Impedance Tomography
Duanpeng Shi
Wendong Zheng
Di Guo
Huaping Liu
DiffMMedIm
414
2
0
10 Jan 2025
Bridge the Inference Gaps of Neural Processes via Expectation Maximization
Bridge the Inference Gaps of Neural Processes via Expectation Maximization
Q. Wang
Marco Federici
H. V. Hoof
UQCVBDL
127
15
0
08 Jan 2025
GUPNet++: Geometry Uncertainty Propagation Network for Monocular 3D Object Detection
GUPNet++: Geometry Uncertainty Propagation Network for Monocular 3D Object Detection
Yan Lu
Xinzhu Ma
Lei Yang
Tianzhu Zhang
Yating Liu
Qi Chu
Tong He
Yonghui Li
W. Ouyang
139
4
0
08 Jan 2025
Inflationary Flows: Calibrated Bayesian Inference with Diffusion-Based Models
Inflationary Flows: Calibrated Bayesian Inference with Diffusion-Based Models
Daniela de Albuquerque
John Pearson
DiffM
154
0
0
03 Jan 2025
Simulation-based Inference for Cardiovascular Models
Simulation-based Inference for Cardiovascular Models
Antoine Wehenkel
Laura Manduchi
Jens Behrmann
Guillermo Sapiro
Andrew C. Miller
Marco Cuturi
Ozan Sener
Marco Cuturi
J. Jacobsen
211
9
0
31 Dec 2024
Leveraging Cardiovascular Simulations for In-Vivo Prediction of Cardiac
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Laura Manduchi
Antoine Wehenkel
Jens Behrmann
Luca Pegolotti
Andy C. Miller
Ozan Sener
Marco Cuturi
Guillermo Sapiro
J. Jacobsen
OOD
75
1
0
23 Dec 2024
Empirical evaluation of normalizing flows in Markov Chain Monte Carlo
Empirical evaluation of normalizing flows in Markov Chain Monte Carlo
David Nabergoj
Erik Štrumbelj
BDLTPM
104
0
0
22 Dec 2024
Two-in-One: Unified Multi-Person Interactive Motion Generation by Latent
  Diffusion Transformer
Two-in-One: Unified Multi-Person Interactive Motion Generation by Latent Diffusion Transformer
Yangqiu Song
Xihua Wang
Ruihua Song
Wenbing Huang
DiffMVGen
122
1
0
21 Dec 2024
BODex: Scalable and Efficient Robotic Dexterous Grasp Synthesis Using Bilevel Optimization
BODex: Scalable and Efficient Robotic Dexterous Grasp Synthesis Using Bilevel Optimization
Jiayi Chen
Yubin Ke
Hongan Wang
146
5
0
21 Dec 2024
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