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Learning Likelihoods with Conditional Normalizing Flows
v1v2 (latest)

Learning Likelihoods with Conditional Normalizing Flows

29 November 2019
Christina Winkler
Daniel E. Worrall
Emiel Hoogeboom
Max Welling
    TPM
ArXiv (abs)PDFHTML

Papers citing "Learning Likelihoods with Conditional Normalizing Flows"

50 / 156 papers shown
Title
Decoupled Classifier-Free Guidance for Counterfactual Diffusion Models
Decoupled Classifier-Free Guidance for Counterfactual Diffusion Models
Tian Xia
Fabio De Sousa Ribeiro
Rajat Rasal
Avinash Kori
Raghav Mehta
Ben Glocker
DiffM
46
0
0
17 Jun 2025
Inherited or produced? Inferring protein production kinetics when protein counts are shaped by a cell's division history
Inherited or produced? Inferring protein production kinetics when protein counts are shaped by a cell's division history
Pedro Pessoa
Juan Andres Martinez
Vincent Vandenbroucke
Frank Delvigne
Steve Pressé
69
0
0
11 Jun 2025
Diffusion Counterfactual Generation with Semantic Abduction
Diffusion Counterfactual Generation with Semantic Abduction
Rajat Rasal
Avinash Kori
Fabio De Sousa Ribeiro
Tian Xia
Ben Glocker
DiffM
24
0
0
09 Jun 2025
Amortized variational transdimensional inference
Laurence Davies
Dan Mackinlay
Rafael Oliveira
Scott A. Sisson
DRLBDL
123
0
0
05 Jun 2025
JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows
JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows
Eshant English
Christoph Lippert
48
0
0
29 May 2025
Generative AI for Autonomous Driving: A Review
Generative AI for Autonomous Driving: A Review
Katharina Winter
Abhishek Vivekanandan
Rupert Polley
Yinzhe Shen
Christian Schlauch
...
Christian Wirth
Omer Sahin Tas
Nadja Klein
Fabian B. Flohr
Hanno Gottschalk
94
0
0
21 May 2025
CacheFlow: Fast Human Motion Prediction by Cached Normalizing Flow
CacheFlow: Fast Human Motion Prediction by Cached Normalizing Flow
Takahiro Maeda
Jinkun Cao
Norimichi Ukita
Kris Kitani
3DH
81
0
0
19 May 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
79
0
0
24 Apr 2025
DeCaFlow: A Deconfounding Causal Generative Model
DeCaFlow: A Deconfounding Causal Generative Model
Alejandro Almodóvar
Adrián Javaloy
J. Parras
Santiago Zazo
Isabel Valera
CML
78
0
0
19 Mar 2025
End-to-End Optimal Detector Design with Mutual Information Surrogates
End-to-End Optimal Detector Design with Mutual Information Surrogates
K. Wozniak
Stephen Mulligan
J. Kieseler
Markus Klute
Francois Fleuret
Tobias Golling
100
1
0
18 Mar 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
CausalMan: A physics-based simulator for large-scale causality
CausalMan: A physics-based simulator for large-scale causality
Nicholas Tagliapietra
J. Luettin
Lavdim Halilaj
Moritz Willig
Tim Pychynski
Kristian Kersting
CML
121
0
0
18 Feb 2025
Gen-DFL: Decision-Focused Generative Learning for Robust Decision Making
Prince Zizhuang Wang
Jinhao Liang
Shuyi Chen
Ferdinando Fioretto
Shixiang Zhu
OffRLAI4CE
189
3
0
08 Feb 2025
Geometric Neural Process Fields
Geometric Neural Process Fields
Wenzhe Yin
Zehao Xiao
Jiayi Shen
Yunlu Chen
Cees G. M. Snoek
Jan-Jakob Sonke
E. Gavves
AI4CE
174
0
0
04 Feb 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
Utilizing Uncertainty in 2D Pose Detectors for Probabilistic 3D Human
  Mesh Recovery
Utilizing Uncertainty in 2D Pose Detectors for Probabilistic 3D Human Mesh Recovery
Tom Wehrbein
Marco Rudolph
Bodo Rosenhahn
Bastian Wandt
3DH
159
2
0
25 Nov 2024
pcaGAN: Improving Posterior-Sampling cGANs via Principal Component
  Regularization
pcaGAN: Improving Posterior-Sampling cGANs via Principal Component Regularization
Matthew Bendel
Rizwan Ahmad
P. Schniter
MedImDiffM
82
1
0
01 Nov 2024
A Flow-based Truncated Denoising Diffusion Model for Super-resolution
  Magnetic Resonance Spectroscopic Imaging
A Flow-based Truncated Denoising Diffusion Model for Super-resolution Magnetic Resonance Spectroscopic Imaging
Siyuan Dong
Zhuotong Cai
G. Hangel
W. Bogner
G. Widhalm
...
Amit Mahajan
Amin Karbasi
J. Onofrey
Robin A. de Graaf
James S. Duncan
DiffMMedIm
85
14
0
25 Oct 2024
Unsupervised Low-dose CT Reconstruction with One-way Conditional
  Normalizing Flows
Unsupervised Low-dose CT Reconstruction with One-way Conditional Normalizing Flows
Ran An
Ke Chen
Hongwei Li
OOD
80
0
0
23 Oct 2024
Inverse Entropic Optimal Transport Solves Semi-supervised Learning via Data Likelihood Maximization
Inverse Entropic Optimal Transport Solves Semi-supervised Learning via Data Likelihood Maximization
Mikhail Persiianov
Arip Asadulaev
Nikita Andreev
Nikita Starodubcev
Dmitry Baranchuk
Anastasis Kratsios
Evgeny Burnaev
Alexander Korotin
87
0
0
03 Oct 2024
Schrödinger bridge based deep conditional generative learning
Schrödinger bridge based deep conditional generative learning
Hanwen Huang
DiffM
55
1
0
25 Sep 2024
Deep Limit Model-free Prediction in Regression
Deep Limit Model-free Prediction in Regression
Kejin Wu
D. Politis
OOD
51
0
0
18 Aug 2024
Sequential Representation Learning via Static-Dynamic Conditional
  Disentanglement
Sequential Representation Learning via Static-Dynamic Conditional Disentanglement
Mathieu Cyrille Simon
Pascal Frossard
Christophe De Vleeschouwer
CoGeCML
60
1
0
10 Aug 2024
Neural Conditional Probability for Uncertainty Quantification
Neural Conditional Probability for Uncertainty Quantification
Vladimir Kostic
Karim Lounici
Grégoire Pacreau
P. Novelli
G. Turri
Massimiliano Pontil
TPMUQCV
136
0
0
01 Jul 2024
Flexible Conformal Highest Predictive Conditional Density Sets
Flexible Conformal Highest Predictive Conditional Density Sets
Max Sampson
Kung-Sik Chan
64
1
0
26 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
95
0
0
18 Jun 2024
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
88
2
0
02 Jun 2024
Climate Variable Downscaling with Conditional Normalizing Flows
Climate Variable Downscaling with Conditional Normalizing Flows
Christina Winkler
P. Harder
David Rolnick
AI4Cl
116
5
0
31 May 2024
Transport of Algebraic Structure to Latent Embeddings
Transport of Algebraic Structure to Latent Embeddings
Samuel Pfrommer
Brendon G. Anderson
Somayeh Sojoudi
66
0
0
27 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
ASPIRE: Iterative Amortized Posterior Inference for Bayesian Inverse
  Problems
ASPIRE: Iterative Amortized Posterior Inference for Bayesian Inverse Problems
Rafael Orozco
Ali Siahkoohi
M. Louboutin
Felix J. Herrmann
77
2
0
08 May 2024
Modelling Sampling Distributions of Test Statistics with Autograd
Modelling Sampling Distributions of Test Statistics with Autograd
A. A. Kadhim
Harrison B. Prosper
60
0
0
03 May 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
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
115
5
0
21 Apr 2024
PoseINN: Realtime Visual-based Pose Regression and Localization with
  Invertible Neural Networks
PoseINN: Realtime Visual-based Pose Regression and Localization with Invertible Neural Networks
Zirui Zang
Ahmad Amine
Rahul Mangharam
114
0
0
20 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
Conditional Wasserstein Distances with Applications in Bayesian OT Flow
  Matching
Conditional Wasserstein Distances with Applications in Bayesian OT Flow Matching
Jannis Chemseddine
Paul Hagemann
Gabriele Steidl
Christian Wald
112
12
0
27 Mar 2024
LoLiSRFlow: Joint Single Image Low-light Enhancement and
  Super-resolution via Cross-scale Transformer-based Conditional Flow
LoLiSRFlow: Joint Single Image Low-light Enhancement and Super-resolution via Cross-scale Transformer-based Conditional Flow
Ziyu Yue
Jiaxin Gao
Sihan Xie
Yang Liu
Zhixun Su
49
1
0
29 Feb 2024
Robustness and Exploration of Variational and Machine Learning
  Approaches to Inverse Problems: An Overview
Robustness and Exploration of Variational and Machine Learning Approaches to Inverse Problems: An Overview
Alexander Auras
Kanchana Vaishnavi Gandikota
Hannah Droege
Michael Moeller
AAML
74
0
0
19 Feb 2024
Probabilistic Forecasting of Irregular Time Series via Conditional Flows
Probabilistic Forecasting of Irregular Time Series via Conditional Flows
Vijaya Krishna Yalavarthi
Randolf Scholz
Stefan Born
Lars Schmidt-Thieme
AI4TS
150
0
0
09 Feb 2024
FlowPG: Action-constrained Policy Gradient with Normalizing Flows
FlowPG: Action-constrained Policy Gradient with Normalizing Flows
J. Brahmanage
Jiajing Ling
Akshat Kumar
68
4
0
07 Feb 2024
Mixed Noise and Posterior Estimation with Conditional DeepGEM
Mixed Noise and Posterior Estimation with Conditional DeepGEM
Paul Hagemann
J. Hertrich
Maren Casfor
Sebastian Heidenreich
Gabriele Steidl
89
0
0
05 Feb 2024
Conditional Normalizing Flows for Active Learning of Coarse-Grained
  Molecular Representations
Conditional Normalizing Flows for Active Learning of Coarse-Grained Molecular Representations
Henrik Schopmans
Pascal Friederich
AI4CE
91
2
0
02 Feb 2024
AdvNF: Reducing Mode Collapse in Conditional Normalising Flows using
  Adversarial Learning
AdvNF: Reducing Mode Collapse in Conditional Normalising Flows using Adversarial Learning
V. Kanaujia
Mathias S. Scheurer
Vipul Arora
GANDRL
63
2
0
29 Jan 2024
Learning from small data sets: Patch-based regularizers in inverse
  problems for image reconstruction
Learning from small data sets: Patch-based regularizers in inverse problems for image reconstruction
Moritz Piening
Fabian Altekrüger
J. Hertrich
Paul Hagemann
Andrea Walther
Gabriele Steidl
68
6
0
27 Dec 2023
Deep Generative Models for Detector Signature Simulation: A Taxonomic
  Review
Deep Generative Models for Detector Signature Simulation: A Taxonomic Review
Baran Hashemi
Claudius Krause
70
16
0
15 Dec 2023
WISE: full-Waveform variational Inference via Subsurface Extensions
WISE: full-Waveform variational Inference via Subsurface Extensions
Ziyi Yin
Rafael Orozco
M. Louboutin
Felix J. Herrmann
112
17
0
11 Dec 2023
Application of machine learning technique for a fast forecast of
  aggregation kinetics in space-inhomogeneous systems
Application of machine learning technique for a fast forecast of aggregation kinetics in space-inhomogeneous systems
M. A. Larchenko
R. R. Zagidullin
V. V. Palyulin
N. Brilliantov
AI4TS
21
2
0
07 Dec 2023
A Neural Framework for Generalized Causal Sensitivity Analysis
A Neural Framework for Generalized Causal Sensitivity Analysis
Dennis Frauen
F. Imrie
Alicia Curth
Valentyn Melnychuk
Stefan Feuerriegel
M. Schaar
CML
102
10
0
27 Nov 2023
Multivariate Scenario Generation of Day-Ahead Electricity Prices using
  Normalizing Flows
Multivariate Scenario Generation of Day-Ahead Electricity Prices using Normalizing Flows
Hannes Hilger
D. Witthaut
Manuel Dahmen
L. R. Gorjão
Julius Trebbien
Eike Cramer
54
6
0
23 Nov 2023
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