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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
A Comprehensive Survey of Accelerated Generation Techniques in Large
  Language Models
A Comprehensive Survey of Accelerated Generation Techniques in Large Language Models
Mahsa Khoshnoodi
Vinija Jain
Mingye Gao
Malavika Srikanth
Aman Chadha
OffRL
125
5
0
15 May 2024
ISR: Invertible Symbolic Regression
ISR: Invertible Symbolic Regression
Tony Tohme
M. J. Khojasteh
Mohsen Sadr
Florian Meyer
Kamal Youcef-Toumi
103
0
0
10 May 2024
How Inverse Conditional Flows Can Serve as a Substitute for
  Distributional Regression
How Inverse Conditional Flows Can Serve as a Substitute for Distributional Regression
Lucas Kook
Chris Kolb
Philipp Schiele
Daniel Dold
Marcel Arpogaus
...
Philipp F. M. Baumann
Philipp Kopper
Tobias Pielok
Emilio Dorigatti
David Rügamer
BDLAI4TS
83
2
0
08 May 2024
Supervised Anomaly Detection for Complex Industrial Images
Supervised Anomaly Detection for Complex Industrial Images
Aimira Baitieva
David Hurych
Victor Besnier
Olivier Bernard
97
6
0
08 May 2024
Generative Planning with Fast Collision Checks for High Speed Navigation
Generative Planning with Fast Collision Checks for High Speed Navigation
Craig Knuth
Cora Dimmig
Brian A. Bittner
93
0
0
07 May 2024
VAEneu: A New Avenue for VAE Application on Probabilistic Forecasting
VAEneu: A New Avenue for VAE Application on Probabilistic Forecasting
Alireza Koochali
Ensiye Tahaei
Andreas Dengel
Sheraz Ahmed
AI4TS
97
1
0
07 May 2024
Structure-based drug design by denoising voxel grids
Structure-based drug design by denoising voxel grids
Pedro H. O. Pinheiro
Arian R. Jamasb
Omar Mahmood
Vishnu Sresht
Saeed Saremi
DiffM
58
9
0
07 May 2024
Liouville Flow Importance Sampler
Liouville Flow Importance Sampler
Yifeng Tian
Nishant Panda
Yen Ting Lin
123
13
0
03 May 2024
A Flow-Based Model for Conditional and Probabilistic Electricity
  Consumption Profile Generation and Prediction
A Flow-Based Model for Conditional and Probabilistic Electricity Consumption Profile Generation and Prediction
Weijie Xia
Chenguang Wang
Peter Palensky
Pedro P. Vergara
61
2
0
03 May 2024
Advancing Pre-trained Teacher: Towards Robust Feature Discrepancy for
  Anomaly Detection
Advancing Pre-trained Teacher: Towards Robust Feature Discrepancy for Anomaly Detection
Canhui Tang
Sanpin Zhou
Yizhe Li
Yonghao Dong
Le Wang
65
0
0
03 May 2024
Sample-efficient neural likelihood-free Bayesian inference of implicit
  HMMs
Sample-efficient neural likelihood-free Bayesian inference of implicit HMMs
Sanmitra Ghosh
Paul J. Birrell
Daniela De Angelis
77
1
0
02 May 2024
A deep causal inference model for fully-interpretable travel behaviour
  analysis
A deep causal inference model for fully-interpretable travel behaviour analysis
K. Kamal
Bilal Farooq
64
0
0
02 May 2024
Towards Interpretable Reinforcement Learning with Constrained
  Normalizing Flow Policies
Towards Interpretable Reinforcement Learning with Constrained Normalizing Flow Policies
Finn Rietz
Erik Schaffernicht
Stefan Heinrich
J. A. Stork
AI4CE
70
0
0
02 May 2024
S$^2$AC: Energy-Based Reinforcement Learning with Stein Soft Actor
  Critic
S2^22AC: Energy-Based Reinforcement Learning with Stein Soft Actor Critic
Safa Messaoud
Billel Mokeddem
Zhenghai Xue
Linsey Pang
Bo An
Haipeng Chen
Sanjay Chawla
117
5
0
02 May 2024
SemantiCodec: An Ultra Low Bitrate Semantic Audio Codec for General
  Sound
SemantiCodec: An Ultra Low Bitrate Semantic Audio Codec for General Sound
Haohe Liu
Xuenan Xu
Yiitan Yuan
Mengyue Wu
Wenwu Wang
Mark D. Plumbley
101
29
0
30 Apr 2024
A Survey on Diffusion Models for Time Series and Spatio-Temporal Data
A Survey on Diffusion Models for Time Series and Spatio-Temporal Data
Yiyuan Yang
Ming Jin
Haomin Wen
Chaoli Zhang
Yuxuan Liang
...
Bin Yang
Zenglin Xu
Jiang Bian
Shirui Pan
Qingsong Wen
DiffMAI4TSSyDa
130
44
0
29 Apr 2024
The Landscape of Unfolding with Machine Learning
The Landscape of Unfolding with Machine Learning
Nathan Huetsch
Javier Marino Villadamigo
Alexander Shmakov
S. Diefenbacher
Vinicius Mikuni
...
Kevin Greif
Benjamin Nachman
D. Whiteson
A. Butter
Tilman Plehn
93
18
0
29 Apr 2024
Self-Avatar Animation in Virtual Reality: Impact of Motion Signals
  Artifacts on the Full-Body Pose Reconstruction
Self-Avatar Animation in Virtual Reality: Impact of Motion Signals Artifacts on the Full-Body Pose Reconstruction
Antoine Maiorca
Seyed Abolfazl Ghasemzadeh
Thierry Ravet
Franccois Cresson
Thierry Dutoit
Christophe De Vleeschouwer
67
4
0
29 Apr 2024
Deep generative modelling of canonical ensemble with differentiable
  thermal properties
Deep generative modelling of canonical ensemble with differentiable thermal properties
Shuo-Hui Li
Yao-Wen Zhang
Ding Pan
DRLSyDa
67
1
0
29 Apr 2024
Unifying Simulation and Inference with Normalizing Flows
Unifying Simulation and Inference with Normalizing Flows
Haoxing Du
Claudius Krause
Vinicius Mikuni
Benjamin Nachman
Ian Pang
David Shih
238
4
0
29 Apr 2024
A Method of Moments Embedding Constraint and its Application to
  Semi-Supervised Learning
A Method of Moments Embedding Constraint and its Application to Semi-Supervised Learning
Michael Majurski
Sumeet Menon
Parniyan Farvardin
David Chapman
84
4
0
27 Apr 2024
A Dual Perspective of Reinforcement Learning for Imposing Policy Constraints
A Dual Perspective of Reinforcement Learning for Imposing Policy Constraints
Bram De Cooman
Johan A. K. Suykens
98
0
0
25 Apr 2024
UPose3D: Uncertainty-Aware 3D Human Pose Estimation with Cross-View and
  Temporal Cues
UPose3D: Uncertainty-Aware 3D Human Pose Estimation with Cross-View and Temporal Cues
Vandad Davoodnia
Saeed Ghorbani
M. Carbonneau
Alexandre Messier
Ali Etemad
88
1
0
23 Apr 2024
Preconditioned Neural Posterior Estimation for Likelihood-free Inference
Preconditioned Neural Posterior Estimation for Likelihood-free Inference
Xiaoyu Wang
Ryan P. Kelly
D. Warne
Christopher C. Drovandi
113
5
0
21 Apr 2024
Physics-integrated generative modeling using attentive planar
  normalizing flow based variational autoencoder
Physics-integrated generative modeling using attentive planar normalizing flow based variational autoencoder
Sheikh Waqas Akhtar
DRL
62
0
0
18 Apr 2024
Practical applications of machine-learned flows on gauge fields
Practical applications of machine-learned flows on gauge fields
Ryan Abbott
M. S. Albergo
D. Boyda
D. Hackett
G. Kanwar
Fernando Romero-López
P. Shanahan
Julian M. Urban
AI4CE
66
11
0
17 Apr 2024
Pixel-Wise Symbol Spotting via Progressive Points Location for Parsing
  CAD Images
Pixel-Wise Symbol Spotting via Progressive Points Location for Parsing CAD Images
Junbiao Pang
Zailin Dong
Jiaxin Deng
Mengyuan Zhu
Yunwei Zhang
3DPC
98
0
0
17 Apr 2024
A variational neural Bayes framework for inference on intractable
  posterior distributions
A variational neural Bayes framework for inference on intractable posterior distributions
Elliot Maceda
Emily C. Hector
Amanda Lenzi
Brian J. Reich
114
2
0
16 Apr 2024
Learning Feature Inversion for Multi-class Anomaly Detection under
  General-purpose COCO-AD Benchmark
Learning Feature Inversion for Multi-class Anomaly Detection under General-purpose COCO-AD Benchmark
Jiang-She Zhang
Chengjie Wang
Xiangtai Li
Guanzhong Tian
Zhucun Xue
Yong Liu
Guansong Pang
Dacheng Tao
104
6
0
16 Apr 2024
Sampling for Model Predictive Trajectory Planning in Autonomous Driving
  using Normalizing Flows
Sampling for Model Predictive Trajectory Planning in Autonomous Driving using Normalizing Flows
Georg Rabenstein
Lars Ullrich
Knut Graichen
68
1
0
15 Apr 2024
Diffusion Models Meet Remote Sensing: Principles, Methods, and
  Perspectives
Diffusion Models Meet Remote Sensing: Principles, Methods, and Perspectives
Yidan Liu
Jun Yue
Shaobo Xia
Pedram Ghamisi
Weiying Xie
Leyuan Fang
DiffM
97
17
0
13 Apr 2024
VoiceShop: A Unified Speech-to-Speech Framework for Identity-Preserving
  Zero-Shot Voice Editing
VoiceShop: A Unified Speech-to-Speech Framework for Identity-Preserving Zero-Shot Voice Editing
Philip Anastassiou
Zhenyu Tang
Kainan Peng
Dongya Jia
Jiaxin Li
Ming Tu
Yuping Wang
Yuxuan Wang
Mingbo Ma
126
4
0
10 Apr 2024
Variational Bayesian Optimal Experimental Design with Normalizing Flows
Variational Bayesian Optimal Experimental Design with Normalizing Flows
Jiayuan Dong
Christian L. Jacobsen
Mehdi Khalloufi
Maryam Akram
Wanjiao Liu
Karthik Duraisamy
Xun Huan
BDL
184
8
0
08 Apr 2024
MagicTime: Time-lapse Video Generation Models as Metamorphic Simulators
MagicTime: Time-lapse Video Generation Models as Metamorphic Simulators
Shenghai Yuan
Jinfa Huang
Yujun Shi
Yongqi Xu
Ruijie Zhu
Bin Lin
Xinhua Cheng
Li-xin Yuan
Jiebo Luo
VGen
169
36
0
07 Apr 2024
Bayesian Inference for Consistent Predictions in Overparameterized
  Nonlinear Regression
Bayesian Inference for Consistent Predictions in Overparameterized Nonlinear Regression
Tomoya Wakayama
BDL
115
0
0
06 Apr 2024
CountARFactuals -- Generating plausible model-agnostic counterfactual
  explanations with adversarial random forests
CountARFactuals -- Generating plausible model-agnostic counterfactual explanations with adversarial random forests
Susanne Dandl
Kristin Blesch
Timo Freiesleben
Gunnar Konig
Jan Kapar
B. Bischl
Marvin N. Wright
AAML
117
5
0
04 Apr 2024
Multi Positive Contrastive Learning with Pose-Consistent Generated
  Images
Multi Positive Contrastive Learning with Pose-Consistent Generated Images
Sho Inayoshi
Aji Resindra Widya
Satoshi Ozaki
Junji Otsuka
Takeshi Ohashi
3DH
151
1
0
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EDTalk: Efficient Disentanglement for Emotional Talking Head Synthesis
EDTalk: Efficient Disentanglement for Emotional Talking Head Synthesis
Shuai Tan
Bin Ji
Mengxiao Bi
Ye Pan
102
30
0
02 Apr 2024
Bigger is not Always Better: Scaling Properties of Latent Diffusion
  Models
Bigger is not Always Better: Scaling Properties of Latent Diffusion Models
Kangfu Mei
Zhengzhong Tu
M. Delbracio
Hossein Talebi
Vishal M. Patel
P. Milanfar
DiffM
88
13
0
01 Apr 2024
Towards Memorization-Free Diffusion Models
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Chen Chen
Daochang Liu
Chang Xu
VLM
109
33
0
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A Review of Modern Recommender Systems Using Generative Models
  (Gen-RecSys)
A Review of Modern Recommender Systems Using Generative Models (Gen-RecSys)
Yashar Deldjoo
Zhankui He
Julian McAuley
Anton Korikov
Scott Sanner
Arnau Ramisa
René Vidal
M. Sathiamoorthy
Atoosa Kasirzadeh
Silvia Milano
VLM
152
61
0
31 Mar 2024
Long-Tailed Anomaly Detection with Learnable Class Names
Long-Tailed Anomaly Detection with Learnable Class Names
Chih-Hui Ho
Kuan-Chuan Peng
Nuno Vasconcelos
OODD
108
6
0
29 Mar 2024
Iso-Diffusion: Improving Diffusion Probabilistic Models Using the
  Isotropy of the Additive Gaussian Noise
Iso-Diffusion: Improving Diffusion Probabilistic Models Using the Isotropy of the Additive Gaussian Noise
Dilum Fernando
Dhananjaya Jayasundara
Roshan Godaliyadda
W. G. C. Bandara
Parakrama Ekanayake
Vijitha Herath
DiffM
73
0
0
25 Mar 2024
Convergence analysis of OT-Flow for sample generation
Convergence analysis of OT-Flow for sample generation
Yang Jing
Lei Li
57
1
0
24 Mar 2024
BEND: Bagging Deep Learning Training Based on Efficient Neural Network
  Diffusion
BEND: Bagging Deep Learning Training Based on Efficient Neural Network Diffusion
Jia Wei
Xingjun Zhang
Witold Pedrycz
DiffM
59
0
0
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Deep Generative Model based Rate-Distortion for Image Downscaling
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Yuanbang Liang
Bhavesh Garg
Paul L. Rosin
Yipeng Qin
EGVM
97
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ReGenNet: Towards Human Action-Reaction Synthesis
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Liang Xu
Yizhou Zhou
Yichao Yan
Xin Jin
Wenhan Zhu
Fengyun Rao
Xiaokang Yang
Wenjun Zeng
97
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Personalized 3D Human Pose and Shape Refinement
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Bodo Rosenhahn
Iain A. Matthews
Carsten Stoll
3DH
83
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Boosting Flow-based Generative Super-Resolution Models via Learned Prior
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Li-Yuan Tsao
Yi-Chen Lo
Chia-Che Chang
Hao-Wei Chen
Roy Tseng
Chien Feng
Chun-Yi Lee
SupR
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Neural-Kernel Conditional Mean Embeddings
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Kenji Fukumizu
Dino Sejdinovic
50
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