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Normalizing Flows for Probabilistic Modeling and Inference
v1v2 (latest)

Normalizing Flows for Probabilistic Modeling and Inference

Journal of machine learning research (JMLR), 2019
5 December 2019
George Papamakarios
Eric T. Nalisnick
Danilo Jimenez Rezende
S. Mohamed
Balaji Lakshminarayanan
    TPMAI4CE
ArXiv (abs)PDFHTML

Papers citing "Normalizing Flows for Probabilistic Modeling and Inference"

50 / 1,114 papers shown
ViIK: Flow-based Vision Inverse Kinematics Solver with Fusing Collision
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ViIK: Flow-based Vision Inverse Kinematics Solver with Fusing Collision Checking
Qinglong Meng
Chongkun Xia
Xueqian Wang
172
0
0
21 Aug 2024
Markov Balance Satisfaction Improves Performance in Strictly Batch
  Offline Imitation Learning
Markov Balance Satisfaction Improves Performance in Strictly Batch Offline Imitation LearningAAAI Conference on Artificial Intelligence (AAAI), 2024
Rishabh Agrawal
Nathan Dahlin
Rahul Jain
Ashutosh Nayyar
OffRL
220
1
0
17 Aug 2024
$χ$SPN: Characteristic Interventional Sum-Product Networks for Causal
  Inference in Hybrid Domains
χχχSPN: Characteristic Interventional Sum-Product Networks for Causal Inference in Hybrid DomainsConference on Uncertainty in Artificial Intelligence (UAI), 2024
Harsh Poonia
Moritz Willig
Zhongjie Yu
Matej Zečević
Kristian Kersting
Devendra Singh Dhami
TPMCML
279
2
0
14 Aug 2024
Controlling for discrete unmeasured confounding in nonlinear causal
  models
Controlling for discrete unmeasured confounding in nonlinear causal modelsCLEaR (CLEaR), 2024
Patrick Burauel
Frederick Eberhardt
Michel Besserve
CML
146
0
0
10 Aug 2024
Variational Bayesian Phylogenetic Inference with Semi-implicit Branch
  Length Distributions
Variational Bayesian Phylogenetic Inference with Semi-implicit Branch Length Distributions
Tianyu Xie
Frederick A. Matsen IV
M. Suchard
Cheng Zhang
154
3
0
09 Aug 2024
On the Relationship Between Monotone and Squared Probabilistic Circuits
On the Relationship Between Monotone and Squared Probabilistic CircuitsAAAI Conference on Artificial Intelligence (AAAI), 2024
Benjie Wang
Karen Ullrich
TPM
419
13
0
01 Aug 2024
Piecewise deterministic generative models
Piecewise deterministic generative modelsNeural Information Processing Systems (NeurIPS), 2024
Andrea Bertazzi
Alain Durmus
Dario Shariatian
Umut Simsekli
Éric Moulines
DiffM
206
3
0
28 Jul 2024
Rapid Likelihood Free Inference of Compact Binary Coalescences using
  Accelerated Hardware
Rapid Likelihood Free Inference of Compact Binary Coalescences using Accelerated Hardware
Deep Chatterjee
Ethan Marx
W. Benoit
Ravi Kumar
Malina Desai
...
M. Saleem
Shrey Aggarwal
Michael W. Coughlin
Philip C. Harris
E. Katsavounidis
202
8
0
26 Jul 2024
Fast and Reliable Probabilistic Reflectometry Inversion with
  Prior-Amortized Neural Posterior Estimation
Fast and Reliable Probabilistic Reflectometry Inversion with Prior-Amortized Neural Posterior Estimation
V. Starostin
Maximilian Dax
A. Gerlach
A. Hinderhofer
Álvaro Tejero-Cantero
Frank Schreiber
193
4
0
26 Jul 2024
FairFlow: An Automated Approach to Model-based Counterfactual Data
  Augmentation For NLP
FairFlow: An Automated Approach to Model-based Counterfactual Data Augmentation For NLP
E. Tokpo
T. Calders
169
4
0
23 Jul 2024
SlimFlow: Training Smaller One-Step Diffusion Models with Rectified Flow
SlimFlow: Training Smaller One-Step Diffusion Models with Rectified Flow
Yuanzhi Zhu
Xingchao Liu
Qiang Liu
282
23
0
17 Jul 2024
This Probably Looks Exactly Like That: An Invertible Prototypical
  Network
This Probably Looks Exactly Like That: An Invertible Prototypical Network
Zachariah Carmichael
Timothy Redgrave
Daniel Gonzalez Cedre
Walter J. Scheirer
BDL
316
6
0
16 Jul 2024
SurroFlow: A Flow-Based Surrogate Model for Parameter Space Exploration
  and Uncertainty Quantification
SurroFlow: A Flow-Based Surrogate Model for Parameter Space Exploration and Uncertainty Quantification
Jingyi Shen
Yuhan Duan
Han-Wei Shen
AI4CE
168
4
0
16 Jul 2024
Learning Distances from Data with Normalizing Flows and Score Matching
Learning Distances from Data with Normalizing Flows and Score Matching
Peter Sorrenson
Daniel Behrend-Uriarte
Christoph Schnörr
Ullrich Kothe
254
5
0
12 Jul 2024
Dynamical Measure Transport and Neural PDE Solvers for Sampling
Dynamical Measure Transport and Neural PDE Solvers for Sampling
Jingtong Sun
Julius Berner
Lorenz Richter
Marius Zeinhofer
Johannes Müller
Kamyar Azizzadenesheli
Anima Anandkumar
OTDiffM
221
17
0
10 Jul 2024
Enabling Causal Discovery in Post-Nonlinear Models with Normalizing
  Flows
Enabling Causal Discovery in Post-Nonlinear Models with Normalizing Flows
Nu Hoang
Bao Duong
Thin Nguyen
265
0
0
06 Jul 2024
Entropy-Informed Weighting Channel Normalizing Flow for Deep Generative Models
Entropy-Informed Weighting Channel Normalizing Flow for Deep Generative Models
Wei Chen
Shian Du
Shigui Li
Delu Zeng
John Paisley
212
0
0
06 Jul 2024
PROUD: PaRetO-gUided Diffusion Model for Multi-objective Generation
PROUD: PaRetO-gUided Diffusion Model for Multi-objective Generation
Yinghua Yao
Yuangang Pan
Jing Li
Ivor Tsang
Xin Yao
308
11
0
05 Jul 2024
Learning to Be a Transformer to Pinpoint Anomalies
Learning to Be a Transformer to Pinpoint Anomalies
Alex Costanzino
Pierluigi Zama Ramirez
Giuseppe Lisanti
Luigi Di Stefano
287
0
0
04 Jul 2024
FlowCon: Out-of-Distribution Detection using Flow-Based Contrastive
  Learning
FlowCon: Out-of-Distribution Detection using Flow-Based Contrastive Learning
Saandeep Aathreya
Shaun J. Canavan
OODD
276
3
0
03 Jul 2024
Uniform Transformation: Refining Latent Representation in Variational
  Autoencoders
Uniform Transformation: Refining Latent Representation in Variational Autoencoders
Ye Shi
C. S. G. Lee
OODDRL
255
0
0
02 Jul 2024
Spatio-Temporal Graphical Counterfactuals: An Overview
Spatio-Temporal Graphical Counterfactuals: An Overview
Mingyu Kang
Duxin Chen
Ziyuan Pu
Jianxi Gao
Wenwu Yu
CML
406
1
0
02 Jul 2024
Kolmogorov-Smirnov GAN
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Maciej Falkiewicz
Naoya Takeishi
Alexandros Kalousis
GAN
175
1
0
28 Jun 2024
Meta-Gradient Search Control: A Method for Improving the Efficiency of
  Dyna-style Planning
Meta-Gradient Search Control: A Method for Improving the Efficiency of Dyna-style Planning
Bradley Burega
John D. Martin
Luke Kapeluck
Michael Bowling
235
0
0
27 Jun 2024
Flexible Conformal Highest Predictive Conditional Density Sets
Flexible Conformal Highest Predictive Conditional Density Sets
Max Sampson
Kung-Sik Chan
285
2
0
26 Jun 2024
Flexible Tails for Normalizing Flows
Flexible Tails for Normalizing Flows
Tennessee Hickling
Dennis Prangle
321
5
0
22 Jun 2024
VeriFlow: Modeling Distributions for Neural Network Verification
VeriFlow: Modeling Distributions for Neural Network Verification
Faried Abu Zaid
Daniel Neider
Mustafa Yalçıner
469
1
0
20 Jun 2024
Transferable Boltzmann Generators
Transferable Boltzmann Generators
Leon Klein
Frank Noé
380
42
0
20 Jun 2024
Confidence interval estimation of mixed oil length with conditional
  diffusion model
Confidence interval estimation of mixed oil length with conditional diffusion modelJournal of Pipeline Science and Engineering (JPSE), 2024
Yanfeng Yang
Lihong Zhang
Ziqi Chen
Miaomiao Yu
Lei Chen
231
0
0
19 Jun 2024
Quasi-Bayes meets Vines
Quasi-Bayes meets VinesNeural Information Processing Systems (NeurIPS), 2024
David Huk
Yuanhe Zhang
Mark Steel
Ritabrata Dutta
308
5
0
18 Jun 2024
Efficient mapping of phase diagrams with conditional Boltzmann
  Generators
Efficient mapping of phase diagrams with conditional Boltzmann Generators
Maximilian Schebek
Michele Invernizzi
Frank Noé
Jutta Rogal
269
0
0
18 Jun 2024
Imagination Policy: Using Generative Point Cloud Models for Learning
  Manipulation Policies
Imagination Policy: Using Generative Point Cloud Models for Learning Manipulation Policies
Haojie Huang
Karl Schmeckpeper
Dian Wang
Ondrej Biza
Yaoyao Qian
Haotian Liu
Mingxi Jia
Robert Platt
Robin Walters
VGenLM&Ro
197
20
0
17 Jun 2024
Generative vs. Discriminative modeling under the lens of uncertainty
  quantification
Generative vs. Discriminative modeling under the lens of uncertainty quantification
Elouan Argouarc'h
François Desbouvries
Eric Barat
Eiji Kawasaki
UQCV
216
1
0
13 Jun 2024
CUPID: Contextual Understanding of Prompt-conditioned Image
  Distributions
CUPID: Contextual Understanding of Prompt-conditioned Image Distributions
Yayan Zhao
Mingwei Li
Matthew Berger
DiffM
209
2
0
11 Jun 2024
Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for
  Sampling
Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for Sampling
Denis Blessing
Xiaogang Jia
Johannes Esslinger
Francisco Vargas
Gerhard Neumann
632
41
0
11 Jun 2024
Efficient Mixture Learning in Black-Box Variational Inference
Efficient Mixture Learning in Black-Box Variational Inference
A. Hotti
Oskar Kviman
Ricky Molén
Victor Elvira
Jens Lagergren
295
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Autoregressive Diffusion Transformer for Text-to-Speech Synthesis
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Shuai Wang
Sho Inoue
Qibing Bai
Haizhou Li
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184
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Variational Flow Matching for Graph Generation
Variational Flow Matching for Graph GenerationNeural Information Processing Systems (NeurIPS), 2024
Floor Eijkelboom
Grigory Bartosh
C. A. Naesseth
Max Welling
Jan-Willem van de Meent
449
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0
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Generative Assignment Flows for Representing and Learning Joint Distributions of Discrete Data
Generative Assignment Flows for Representing and Learning Joint Distributions of Discrete DataJournal of Mathematical Imaging and Vision (JMIV), 2024
Bastian Boll
Daniel Gonzalez-Alvarado
Stefania Petra
Christoph Schnörr
443
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06 Jun 2024
Normalizing Flows for Conformal Regression
Normalizing Flows for Conformal Regression
Nicolo Colombo
533
10
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DifAttack++: Query-Efficient Black-Box Adversarial Attack via
  Hierarchical Disentangled Feature Space in Cross-Domain
DifAttack++: Query-Efficient Black-Box Adversarial Attack via Hierarchical Disentangled Feature Space in Cross-Domain
Jun Liu
Jiantao Zhou
Jiandian Zeng
Jinyu Tian
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342
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Robust Classification by Coupling Data Mollification with Label Smoothing
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Markus Heinonen
Ba-Hien Tran
Michael Kampffmeyer
Maurizio Filippone
564
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Guided Score identity Distillation for Data-Free One-Step Text-to-Image Generation
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Mingyuan Zhou
Zhendong Wang
Huangjie Zheng
Hai Huang
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ContextFlow++: Generalist-Specialist Flow-based Generative Models with
  Mixed-Variable Context Encoding
ContextFlow++: Generalist-Specialist Flow-based Generative Models with Mixed-Variable Context Encoding
Denis A. Gudovskiy
Tomoyuki Okuno
Yohei Nakata
MoEAI4CE
284
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Convolutional L2LFlows: Generating Accurate Showers in Highly Granular
  Calorimeters Using Convolutional Normalizing Flows
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Thorsten Buss
F. Gaede
Gregor Kasieczka
Claudius Krause
David Shih
AI4CE
307
17
0
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Understanding and mitigating difficulties in posterior predictive
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Justin Domke
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Deep Modeling of Non-Gaussian Aleatoric Uncertainty
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Caleb Lee
Marissa DÁlonzo
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Rebecca L. Russell
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Reconstructing Interpretable Features in Computational Super-Resolution
  microscopy via Regularized Latent Search
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Auguste Genovesio
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Sampling metastable systems using collective variables and
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