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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
Generative Machine Learning for Multivariate Equity Returns
Generative Machine Learning for Multivariate Equity Returns
Ruslan Tepelyan
Achintya Gopal
AIFinSyDa
70
6
0
21 Nov 2023
Variational Elliptical Processes
Variational Elliptical Processes
Maria B˙ankestad
Jens Sjölund
Jalil Taghia
Thomas B. Schon
87
2
0
21 Nov 2023
Unsupervised approaches based on optimal transport and convex analysis
  for inverse problems in imaging
Unsupervised approaches based on optimal transport and convex analysis for inverse problems in imaging
M. Carioni
Subhadip Mukherjee
Hongwei Tan
Junqi Tang
MedIm
78
4
0
15 Nov 2023
Simplifying Complex Observation Models in Continuous POMDP Planning with Probabilistic Guarantees and Practice
Simplifying Complex Observation Models in Continuous POMDP Planning with Probabilistic Guarantees and Practice
Idan Lev-Yehudi
Moran Barenboim
Vadim Indelman
144
6
0
13 Nov 2023
Towards Climate Variable Prediction with Conditioned Spatio-Temporal
  Normalizing Flows
Towards Climate Variable Prediction with Conditioned Spatio-Temporal Normalizing Flows
Christina Winkler
David Rolnick
81
0
0
12 Nov 2023
Conditional Optimal Transport on Function Spaces
Conditional Optimal Transport on Function Spaces
Bamdad Hosseini
Alexander W. Hsu
Amirhossein Taghvaei
OT
122
16
0
09 Nov 2023
Uncertainty quantification and out-of-distribution detection using
  surjective normalizing flows
Uncertainty quantification and out-of-distribution detection using surjective normalizing flows
Simon Dirmeier
Ye Hong
Yanan Xin
Fernando Pérez-Cruz
UQCV
67
1
0
01 Nov 2023
Y-Diagonal Couplings: Approximating Posteriors with Conditional
  Wasserstein Distances
Y-Diagonal Couplings: Approximating Posteriors with Conditional Wasserstein Distances
Jannis Chemseddine
Paul Hagemann
Christian Wald
112
3
0
20 Oct 2023
Deep Backtracking Counterfactuals for Causally Compliant Explanations
Deep Backtracking Counterfactuals for Causally Compliant Explanations
Klaus-Rudolf Kladny
Julius von Kügelgen
Bernhard Schölkopf
Michael Muehlebach
BDL
106
7
0
11 Oct 2023
Neural Bayes Estimators for Irregular Spatial Data using Graph Neural Networks
Neural Bayes Estimators for Irregular Spatial Data using Graph Neural Networks
Matthew Sainsbury-Dale
A. Zammit‐Mangion
J. Richards
Raphael Huser
674
15
0
04 Oct 2023
FG-NeRF: Flow-GAN based Probabilistic Neural Radiance Field for
  Independence-Assumption-Free Uncertainty Estimation
FG-NeRF: Flow-GAN based Probabilistic Neural Radiance Field for Independence-Assumption-Free Uncertainty Estimation
Songlin Wei
JIazhao Zhang
Yang Wang
Ruben Verborgh
Hao Su
He Wang
AI4CE
67
3
0
28 Sep 2023
A Unified View of Differentially Private Deep Generative Modeling
A Unified View of Differentially Private Deep Generative Modeling
Dingfan Chen
Raouf Kerkouche
Mario Fritz
SyDa
90
5
0
27 Sep 2023
The NFLikelihood: an unsupervised DNNLikelihood from Normalizing Flows
The NFLikelihood: an unsupervised DNNLikelihood from Normalizing Flows
H. Reyes-González
Riccardo Torre
DRL
64
2
0
18 Sep 2023
Efficient Epistemic Uncertainty Estimation in Regression Ensemble Models
  Using Pairwise-Distance Estimators
Efficient Epistemic Uncertainty Estimation in Regression Ensemble Models Using Pairwise-Distance Estimators
Lucas Berry
David Meger
UD
84
2
0
25 Aug 2023
POCO: 3D Pose and Shape Estimation with Confidence
POCO: 3D Pose and Shape Estimation with Confidence
Sai Kumar Dwivedi
Cordelia Schmid
Hongwei Yi
Michael J. Black
Dimitrios Tzionas
3DH
67
17
0
24 Aug 2023
Calorimeter shower superresolution
Calorimeter shower superresolution
Ian Pang
J. A. Raine
David Shih
DiffM
77
8
0
22 Aug 2023
TrackFlow: Multi-Object Tracking with Normalizing Flows
TrackFlow: Multi-Object Tracking with Normalizing Flows
Gianluca Mancusi
Aniello Panariello
Angelo Porrello
Matteo Fabbri
Simone Calderara
Rita Cucchiara
VOT
59
14
0
22 Aug 2023
A Review of Change of Variable Formulas for Generative Modeling
A Review of Change of Variable Formulas for Generative Modeling
Ullrich Kothe
72
8
0
04 Aug 2023
Deep Generative Models, Synthetic Tabular Data, and Differential
  Privacy: An Overview and Synthesis
Deep Generative Models, Synthetic Tabular Data, and Differential Privacy: An Overview and Synthesis
Conor Hassan
Roberto Salomone
Kerrie Mengersen
81
6
0
28 Jul 2023
A generative flow for conditional sampling via optimal transport
A generative flow for conditional sampling via optimal transport
Jason Alfonso
Ricardo Baptista
Anupam Bhakta
Noam Gal
Alfin Hou
I. Lyubimova
Daniel Pocklington
Josef Sajonz
G. Trigila
Ryan Tsai
OT
55
5
0
09 Jul 2023
BISCUIT: Causal Representation Learning from Binary Interactions
BISCUIT: Causal Representation Learning from Binary Interactions
Phillip Lippe
Sara Magliacane
Sindy Löwe
Yuki M. Asano
Taco S. Cohen
E. Gavves
CML
80
31
0
16 Jun 2023
A Conditional Normalizing Flow for Accelerated Multi-Coil MR Imaging
A Conditional Normalizing Flow for Accelerated Multi-Coil MR Imaging
Jeffrey Wen
Rizwan Ahmad
Philip Schniter
MedIm
75
9
0
02 Jun 2023
Reliable Off-Policy Learning for Dosage Combinations
Reliable Off-Policy Learning for Dosage Combinations
Jonas Schweisthal
Dennis Frauen
Valentyn Melnychuk
Stefan Feuerriegel
OffRL
57
12
0
31 May 2023
Statistically Efficient Bayesian Sequential Experiment Design via
  Reinforcement Learning with Cross-Entropy Estimators
Statistically Efficient Bayesian Sequential Experiment Design via Reinforcement Learning with Cross-Entropy Estimators
Tom Blau
Iadine Chadès
Amir Dezfouli
Daniel M. Steinberg
Edwin V. Bonilla
77
1
0
29 May 2023
Sharp Bounds for Generalized Causal Sensitivity Analysis
Sharp Bounds for Generalized Causal Sensitivity Analysis
Dennis Frauen
Valentyn Melnychuk
Stefan Feuerriegel
CML
120
19
0
26 May 2023
Squared Neural Families: A New Class of Tractable Density Models
Squared Neural Families: A New Class of Tractable Density Models
Russell Tsuchida
Cheng Soon Ong
Dino Sejdinovic
TPM
72
12
0
22 May 2023
HuManiFlow: Ancestor-Conditioned Normalising Flows on SO(3) Manifolds
  for Human Pose and Shape Distribution Estimation
HuManiFlow: Ancestor-Conditioned Normalising Flows on SO(3) Manifolds for Human Pose and Shape Distribution Estimation
A. Sengupta
Ignas Budvytis
R. Cipolla
3DH
104
20
0
11 May 2023
Flow Away your Differences: Conditional Normalizing Flows as an
  Improvement to Reweighting
Flow Away your Differences: Conditional Normalizing Flows as an Improvement to Reweighting
M. Algren
T. Golling
M. Guth
C. Pollard
J. A. Raine
16
8
0
28 Apr 2023
Generative modeling of time-dependent densities via optimal transport
  and projection pursuit
Generative modeling of time-dependent densities via optimal transport and projection pursuit
Jonah Botvinick-Greenhouse
Yunan Yang
R. Maulik
OT
76
3
0
19 Apr 2023
Delving into Discrete Normalizing Flows on SO(3) Manifold for
  Probabilistic Rotation Modeling
Delving into Discrete Normalizing Flows on SO(3) Manifold for Probabilistic Rotation Modeling
Yulin Liu
Haoran Liu
Yingda Yin
Yang Wang
Baoquan Chen
Heru Wang
90
13
0
08 Apr 2023
Efficient SAGE Estimation via Causal Structure Learning
Efficient SAGE Estimation via Causal Structure Learning
C. Luther
Gunnar Konig
Moritz Grosse-Wentrup
122
3
0
06 Apr 2023
Locality-constrained autoregressive cum conditional normalizing flow for
  lattice field theory simulations
Locality-constrained autoregressive cum conditional normalizing flow for lattice field theory simulations
R. DineshP.
AI4CE
57
0
0
04 Apr 2023
Conditional Generative Models are Provably Robust: Pointwise Guarantees
  for Bayesian Inverse Problems
Conditional Generative Models are Provably Robust: Pointwise Guarantees for Bayesian Inverse Problems
Fabian Altekrüger
Paul Hagemann
Gabriele Steidl
TPM
64
9
0
28 Mar 2023
CeFlow: A Robust and Efficient Counterfactual Explanation Framework for
  Tabular Data using Normalizing Flows
CeFlow: A Robust and Efficient Counterfactual Explanation Framework for Tabular Data using Normalizing Flows
Tri Dung Duong
Qian Li
Guandong Xu
OOD
60
7
0
26 Mar 2023
Local Implicit Normalizing Flow for Arbitrary-Scale Image
  Super-Resolution
Local Implicit Normalizing Flow for Arbitrary-Scale Image Super-Resolution
Jiemei Yao
Li-Yuan Tsao
Yi-Chen Lo
Roy Tseng
Chia-Che Chang
Chun-Yi Lee
SupR
51
35
0
09 Mar 2023
Amortized Normalizing Flows for Transcranial Ultrasound with Uncertainty
  Quantification
Amortized Normalizing Flows for Transcranial Ultrasound with Uncertainty Quantification
Rafael Orozco
M. Louboutin
Ali Siahkoohi
G. Rizzuti
Tristan van Leeuwen
Felix J. Herrmann
OOD
75
13
0
06 Mar 2023
An overview of differentiable particle filters for data-adaptive
  sequential Bayesian inference
An overview of differentiable particle filters for data-adaptive sequential Bayesian inference
Xiongjie Chen
Yunpeng Li
84
16
0
19 Feb 2023
Counterfactual Identifiability of Bijective Causal Models
Counterfactual Identifiability of Bijective Causal Models
Arash Nasr-Esfahany
MohammadIman Alizadeh
Devavrat Shah
CMLBDL
122
27
0
04 Feb 2023
Fixed-kinetic Neural Hamiltonian Flows for enhanced interpretability and
  reduced complexity
Fixed-kinetic Neural Hamiltonian Flows for enhanced interpretability and reduced complexity
Vincent Souveton
Arnaud Guillin
J. Jasche
G. Lavaux
Manon Michel
91
3
0
03 Feb 2023
Normalizing Flow Ensembles for Rich Aleatoric and Epistemic Uncertainty
  Modeling
Normalizing Flow Ensembles for Rich Aleatoric and Epistemic Uncertainty Modeling
Lucas Berry
David Meger
71
8
0
02 Feb 2023
Timewarp: Transferable Acceleration of Molecular Dynamics by Learning
  Time-Coarsened Dynamics
Timewarp: Transferable Acceleration of Molecular Dynamics by Learning Time-Coarsened Dynamics
Leon Klein
Andrew Y. K. Foong
T. E. Fjelde
Bruno Mlodozeniec
Marc Brockschmidt
Sebastian Nowozin
Frank Noé
Ryota Tomioka
AI4CE
144
47
0
02 Feb 2023
Generative structured normalizing flow Gaussian processes applied to
  spectroscopic data
Generative structured normalizing flow Gaussian processes applied to spectroscopic data
Natalie Klein
N. Panda
P. Gasda
Diane Oyen
18
1
0
14 Dec 2022
Towards Explainability in Modular Autonomous Vehicle Software
Towards Explainability in Modular Autonomous Vehicle Software
Hongrui Zheng
Zirui Zang
Shuo Yang
Rahul Mangharam
90
0
0
01 Dec 2022
Denoising Deep Generative Models
Denoising Deep Generative Models
Gabriel Loaiza-Ganem
Brendan Leigh Ross
Luhuan Wu
John P. Cunningham
Jesse C. Cresswell
Anthony L. Caterini
DiffM
104
5
0
30 Nov 2022
Improvement-Focused Causal Recourse (ICR)
Improvement-Focused Causal Recourse (ICR)
Gunnar Konig
Timo Freiesleben
Moritz Grosse-Wentrup
CML
76
16
0
27 Oct 2022
A Regularized Conditional GAN for Posterior Sampling in Image Recovery
  Problems
A Regularized Conditional GAN for Posterior Sampling in Image Recovery Problems
Matthew Bendel
Rizwan Ahmad
Philip Schniter
MedIm
108
6
0
24 Oct 2022
Transport Reversible Jump Proposals
Transport Reversible Jump Proposals
L. Davies
Roberto Salomone
Matthew Sutton
Christopher C. Drovandi
BDL
85
2
0
22 Oct 2022
Multi-hypothesis 3D human pose estimation metrics favor miscalibrated
  distributions
Multi-hypothesis 3D human pose estimation metrics favor miscalibrated distributions
Paweł Antoni Pierzchlewicz
R. J. Cotton
Mohammad Ali Bashiri
Fabian H. Sinz
3DH
81
8
0
20 Oct 2022
HandFlow: Quantifying View-Dependent 3D Ambiguity in Two-Hand
  Reconstruction with Normalizing Flow
HandFlow: Quantifying View-Dependent 3D Ambiguity in Two-Hand Reconstruction with Normalizing Flow
Jiayi Wang
D. Luvizon
Franziska Mueller
Florian Bernard
Adam Kortylewski
Dan Casas
Christian Theobalt
3DH
79
5
0
04 Oct 2022
Compositional Score Modeling for Simulation-based Inference
Compositional Score Modeling for Simulation-based Inference
Tomas Geffner
George Papamakarios
A. Mnih
138
30
0
28 Sep 2022
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