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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 / 1,115 papers shown
A Flow-Based Generative Model for Rare-Event Simulation
A Flow-Based Generative Model for Rare-Event Simulation
Lachlan J. Gibson
Marcus Hoerger
Dirk P. Kroese
133
5
0
13 May 2023
PanFlowNet: A Flow-Based Deep Network for Pan-sharpening
PanFlowNet: A Flow-Based Deep Network for Pan-sharpeningIEEE International Conference on Computer Vision (ICCV), 2023
Gang Yang
Xiangyong Cao
Wen Xiao
Man Zhou
Aiping Liu
Xun Chen
Deyu Meng
UQCV
185
33
0
12 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 EstimationComputer Vision and Pattern Recognition (CVPR), 2023
A. Sengupta
Ignas Budvytis
R. Cipolla
3DH
288
27
0
11 May 2023
Principal Feature Detection via $Φ$-Sobolev Inequalities
Principal Feature Detection via ΦΦΦ-Sobolev InequalitiesBernoulli (Bernoulli), 2023
Matthew T.C. Li
Youssef Marzouk
O. Zahm
230
11
0
10 May 2023
MMoT: Mixture-of-Modality-Tokens Transformer for Composed Multimodal
  Conditional Image Synthesis
MMoT: Mixture-of-Modality-Tokens Transformer for Composed Multimodal Conditional Image SynthesisInternational Journal of Computer Vision (IJCV), 2023
Jinsheng Zheng
Daqing Liu
Chaoyue Wang
Minghui Hu
Zuopeng Yang
Changxing Ding
Dacheng Tao
151
5
0
10 May 2023
Piecewise Normalizing Flows
Piecewise Normalizing Flows
H. Bevins
Will Handley
Thomas Gessey-Jones
247
2
0
04 May 2023
Tensorizing flows: a tool for variational inference
Tensorizing flows: a tool for variational inference
Y. Khoo
M. Lindsey
Renana Keydar
DRL
229
4
0
03 May 2023
Unpaired Downscaling of Fluid Flows with Diffusion Bridges
Unpaired Downscaling of Fluid Flows with Diffusion BridgesArtificial Intelligence for the Earth Systems (AI4ES), 2023
Tobias Bischoff
Katherine Deck
263
24
0
02 May 2023
Reservoir Computing with Error Correction: Long-term Behaviors of
  Stochastic Dynamical Systems
Reservoir Computing with Error Correction: Long-term Behaviors of Stochastic Dynamical Systems
Cheng Fang
Yubin Lu
Ting Gao
Jinqiao Duan
201
4
0
01 May 2023
A Coupled Flow Approach to Imitation Learning
A Coupled Flow Approach to Imitation LearningInternational Conference on Machine Learning (ICML), 2023
G. Freund
Elad Sarafian
Sarit Kraus
OOD
199
16
0
29 Apr 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
J. A. Raine
M. Guth
C. Pollard
C. Pollard
127
11
0
28 Apr 2023
Ensuring Reliable Robot Task Performance through Probabilistic
  Rare-Event Verification and Synthesis
Ensuring Reliable Robot Task Performance through Probabilistic Rare-Event Verification and Synthesis
Guy Scher
Sadra Sadraddini
Ariel Yadin
H. Kress-Gazit
152
1
0
28 Apr 2023
A mean-field games laboratory for generative modeling
A mean-field games laboratory for generative modeling
Benjamin J. Zhang
Markos A. Katsoulakis
531
31
0
26 Apr 2023
The Score-Difference Flow for Implicit Generative Modeling
The Score-Difference Flow for Implicit Generative Modeling
Romann M. Weber
DiffM
197
2
0
25 Apr 2023
Machine Learning and the Future of Bayesian Computation
Machine Learning and the Future of Bayesian Computation
Steven Winter
Trevor Campbell
Lizhen Lin
Sanvesh Srivastava
David B. Dunson
TPM
319
6
0
21 Apr 2023
Balancing Simulation-based Inference for Conservative Posteriors
Balancing Simulation-based Inference for Conservative Posteriors
Arnaud Delaunoy
Benjamin Kurt Miller
Patrick Forré
Christoph Weniger
Gilles Louppe
212
11
0
21 Apr 2023
Semi-supervised Learning of Pushforwards For Domain Translation &
  Adaptation
Semi-supervised Learning of Pushforwards For Domain Translation & Adaptation
N. Panda
Natalie Klein
Dominic Yang
P. Gasda
Diane Oyen
250
1
0
18 Apr 2023
NF-ULA: Langevin Monte Carlo with Normalizing Flow Prior for Imaging
  Inverse Problems
NF-ULA: Langevin Monte Carlo with Normalizing Flow Prior for Imaging Inverse ProblemsSIAM Journal of Imaging Sciences (JSIS), 2023
Ziruo Cai
Junqi Tang
Subhadip Mukherjee
Jinglai Li
Carola Bibiane Schönlieb
Xiaoqun Zhang
AI4CE
230
8
0
17 Apr 2023
Normalizing Flow-based Neural Process for Few-Shot Knowledge Graph
  Completion
Normalizing Flow-based Neural Process for Few-Shot Knowledge Graph CompletionAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2023
Linhao Luo
Yuan-Fang Li
Gholamreza Haffari
Shirui Pan
BDL
195
43
0
17 Apr 2023
Meta-Learned Models of Cognition
Meta-Learned Models of CognitionBehavioral and Brain Sciences (BBS), 2023
Marcel Binz
Ishita Dasgupta
Akshay K. Jagadish
M. Botvinick
Jane X. Wang
Eric Schulz
304
38
0
12 Apr 2023
An Equivariant Generative Framework for Molecular Graph-Structure
  Co-Design
An Equivariant Generative Framework for Molecular Graph-Structure Co-DesignbioRxiv (bioRxiv), 2023
Zaixin Zhang
Qi Liu
Cheekong Lee
Chang-Yu Hsieh
Enhong Chen
210
22
0
12 Apr 2023
TrajFlow: Learning Distributions over Trajectories for Human Behavior Prediction
TrajFlow: Learning Distributions over Trajectories for Human Behavior Prediction
Anna Mészáros
J. Schumann
Javier Alonso-Mora
Arkady Zgonnikov
Jens Kober
386
4
0
11 Apr 2023
Binary Latent Diffusion
Binary Latent DiffusionComputer Vision and Pattern Recognition (CVPR), 2023
Ze Wang
Jiang Wang
Zicheng Liu
Qiang Qiu
236
19
0
10 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 ModelingComputer Vision and Pattern Recognition (CVPR), 2023
Yulin Liu
Haoran Liu
Yingda Yin
Yang Wang
Baoquan Chen
Heru Wang
209
18
0
08 Apr 2023
Neural Diffeomorphic Non-uniform B-spline Flows
Neural Diffeomorphic Non-uniform B-spline FlowsAAAI Conference on Artificial Intelligence (AAAI), 2023
S. Hong
S. Chun
230
3
0
07 Apr 2023
Quantum Conformal Prediction for Reliable Uncertainty Quantification in
  Quantum Machine Learning
Quantum Conformal Prediction for Reliable Uncertainty Quantification in Quantum Machine LearningIEEE Transactions on Quantum Engineering (TQE), 2023
Sangwoo Park
Osvaldo Simeone
220
21
0
06 Apr 2023
Diffusion Bridge Mixture Transports, Schrödinger Bridge Problems and
  Generative Modeling
Diffusion Bridge Mixture Transports, Schrödinger Bridge Problems and Generative ModelingJournal of machine learning research (JMLR), 2023
Stefano Peluchetti
OTDiffM
312
78
0
03 Apr 2023
Ensemble weather forecast post-processing with a flexible probabilistic
  neural network approach
Ensemble weather forecast post-processing with a flexible probabilistic neural network approachQuarterly Journal of the Royal Meteorological Society (QJRMS), 2023
P. Mlakar
J. Merse
Jana Faganeli Pucer
286
8
0
29 Mar 2023
Simulation-based Inference for Model Parameterization on Analog
  Neuromorphic Hardware
Simulation-based Inference for Model Parameterization on Analog Neuromorphic Hardware
Jakob Kaiser
Raphael Stock
Eric Müller
Johannes Schemmel
Sebastian Schmitt
158
3
0
28 Mar 2023
Information Maximizing Curriculum: A Curriculum-Based Approach for
  Imitating Diverse Skills
Information Maximizing Curriculum: A Curriculum-Based Approach for Imitating Diverse Skills
Denis Blessing
Onur Celik
Xiaogang Jia
Moritz Reuss
M. Li
Rudolf Lioutikov
Gerhard Neumann
158
0
0
27 Mar 2023
Learning a Deep Color Difference Metric for Photographic Images
Learning a Deep Color Difference Metric for Photographic ImagesComputer Vision and Pattern Recognition (CVPR), 2023
Zhaodong Sun
Zhihua Wang
Yang Yang
Qilin Sun
Kede Ma
173
10
0
27 Mar 2023
EDGI: Equivariant Diffusion for Planning with Embodied Agents
EDGI: Equivariant Diffusion for Planning with Embodied AgentsNeural Information Processing Systems (NeurIPS), 2023
Johann Brehmer
Joey Bose
P. D. Haan
Taco S. Cohen
DiffM
231
44
0
22 Mar 2023
Focus or Not: A Baseline for Anomaly Event Detection On the Open Public Places with Satellite Images
Y. Jeon
Youngtack Oh
Doyoung Jeong
Hyunguk Choi
Junsik Kim
162
0
0
21 Mar 2023
Conformal Generative Modeling on Triangulated Surfaces
Conformal Generative Modeling on Triangulated Surfaces
Victor D. Dorobantu
Charlotte Borcherds
Yisong Yue
199
1
0
17 Mar 2023
Interpretable ODE-style Generative Diffusion Model via Force Field
  Construction
Interpretable ODE-style Generative Diffusion Model via Force Field Construction
Weiyang Jin
Yongpei Zhu
Yuxi Peng
DiffM
133
0
0
14 Mar 2023
FoundationTTS: Text-to-Speech for ASR Customization with Generative
  Language Model
FoundationTTS: Text-to-Speech for ASR Customization with Generative Language Model
Rui Xue
Yanqing Liu
Lei He
Xuejiao Tan
Linquan Liu
Ed Lin
Sheng Zhao
330
8
0
06 Mar 2023
Self-reinforced polynomial approximation methods for concentrated
  probability densities
Self-reinforced polynomial approximation methods for concentrated probability densities
Tiangang Cui
S. Dolgov
O. Zahm
174
6
0
05 Mar 2023
Progressive Bayesian Particle Flows based on Optimal Transport Map
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Progressive Bayesian Particle Flows based on Optimal Transport Map SequencesFusion (Fusion), 2023
U. Hanebeck
OT
152
4
0
04 Mar 2023
Measuring axiomatic soundness of counterfactual image models
Measuring axiomatic soundness of counterfactual image modelsInternational Conference on Learning Representations (ICLR), 2023
M. Monteiro
Fabio De Sousa Ribeiro
Nick Pawlowski
Daniel Coelho De Castro
Ben Glocker
353
36
0
02 Mar 2023
UniDexGrasp: Universal Robotic Dexterous Grasping via Learning Diverse
  Proposal Generation and Goal-Conditioned Policy
UniDexGrasp: Universal Robotic Dexterous Grasping via Learning Diverse Proposal Generation and Goal-Conditioned PolicyComputer Vision and Pattern Recognition (CVPR), 2023
Yinzhen Xu
Weikang Wan
Jialiang Zhang
Haoran Liu
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Yijia Weng
Jiayi Chen
Tengyu Liu
Li Yi
He Wang
429
166
0
02 Mar 2023
An Approximation Theory Framework for Measure-Transport Sampling
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An Approximation Theory Framework for Measure-Transport Sampling AlgorithmsMathematics of Computation (Math. Comp.), 2023
Ricardo Baptista
Bamdad Hosseini
Nikola B. Kovachki
Youssef M. Marzouk
A. Sagiv
OT
259
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Denoising Diffusion Samplers
Denoising Diffusion SamplersInternational Conference on Learning Representations (ICLR), 2023
Francisco Vargas
Will Grathwohl
Arnaud Doucet
DiffM
318
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SurvivalGAN: Generating Time-to-Event Data for Survival Analysis
SurvivalGAN: Generating Time-to-Event Data for Survival AnalysisInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Alexander Norcliffe
B. Cebere
F. Imrie
Pietro Lio
M. Schaar
SyDa
157
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24 Feb 2023
Accurate Free Energy Estimations of Molecular Systems Via Flow-based
  Targeted Free Energy Perturbation
Accurate Free Energy Estimations of Molecular Systems Via Flow-based Targeted Free Energy Perturbation
Soo-Jung Lee
Amr H. Mahmoud
M. Lill
159
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0
23 Feb 2023
Comparison of Affine and Rational Quadratic Spline Coupling and Autoregressive Flows through Robust Statistical Tests
Comparison of Affine and Rational Quadratic Spline Coupling and Autoregressive Flows through Robust Statistical Tests
A. Coccaro
Marco Letizia
H. Reyes-González
Riccardo Torre
OOD
290
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Transformed Distribution Matching for Missing Value Imputation
Transformed Distribution Matching for Missing Value ImputationInternational Conference on Machine Learning (ICML), 2023
He Zhao
Ke Sun
Amir Dezfouli
Edwin V. Bonilla
210
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An overview of differentiable particle filters for data-adaptive
  sequential Bayesian inference
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270
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The Geometry of Neural Nets' Parameter Spaces Under Reparametrization
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