ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1912.02762
  4. Cited By
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 / 1,100 papers shown
Title
MIST: Mutual Information Via Supervised Training
MIST: Mutual Information Via Supervised Training
German Gritsai
Megan Richards
Maxime Méloux
Kyunghyun Cho
Maxime Peyrard
OOD
198
0
0
24 Nov 2025
ArticFlow: Generative Simulation of Articulated Mechanisms
ArticFlow: Generative Simulation of Articulated Mechanisms
Jiong Lin
Jinchen Ruan
Hod Lipson
AI4CE
98
0
0
22 Nov 2025
Generative Model Predictive Control in Manufacturing Processes: A Review
Generative Model Predictive Control in Manufacturing Processes: A Review
Suk Ki Lee
Ronnie F. P. Stone
Max Gao
Wenlong Zhang
Zhenghui Sha
Hyunwoong Ko
AI4CE
52
0
0
22 Nov 2025
Particle Monte Carlo methods for Lattice Field Theory
Particle Monte Carlo methods for Lattice Field Theory
David Yallup
82
0
0
19 Nov 2025
A Physics Informed Machine Learning Framework for Optimal Sensor Placement and Parameter Estimation
A Physics Informed Machine Learning Framework for Optimal Sensor Placement and Parameter Estimation
Georgios Venianakis
Constantinos Theodoropoulos
Michail Kavousanakis
68
0
0
19 Nov 2025
Nonparametric Estimation of Joint Entropy via Partitioned Sample-Spacing
Nonparametric Estimation of Joint Entropy via Partitioned Sample-Spacing
Jungwoo Ho
Sangun Park
Soyeong Oh
53
0
0
17 Nov 2025
Rectified Noise: A Generative Model Using Positive-incentive Noise
Rectified Noise: A Generative Model Using Positive-incentive Noise
Zhenyu Gu
Yanchen Xu
Sida Huang
Yubin Guo
Hongyuan Zhang
117
2
0
11 Nov 2025
Physics-Informed Design of Input Convex Neural Networks for Consistency Optimal Transport Flow Matching
Physics-Informed Design of Input Convex Neural Networks for Consistency Optimal Transport Flow Matching
Fanghui Song
Zhongjian Wang
Jiebao Sun
56
0
0
08 Nov 2025
Multi-agent Coordination via Flow Matching
Multi-agent Coordination via Flow Matching
Dongsu Lee
Daehee Lee
Amy Zhang
68
0
0
07 Nov 2025
Dark Energy Survey Year 3 results: Simulation-based $w$CDM inference from weak lensing and galaxy clustering maps with deep learning. I. Analysis design
Dark Energy Survey Year 3 results: Simulation-based wwwCDM inference from weak lensing and galaxy clustering maps with deep learning. I. Analysis design
A. Thomsen
J. Bucko
T. Kacprzak
V. Ajani
J. Fluri
...
E. Suchyta
M. E. C. Swanson
D. Thomas
C. To
D. L. Tucker
221
0
0
06 Nov 2025
Learning Paths for Dynamic Measure Transport: A Control Perspective
Learning Paths for Dynamic Measure Transport: A Control Perspective
A. Maurais
Bamdad Hosseini
Youssef Marzouk
44
0
0
05 Nov 2025
Addressing prior dependence in hierarchical Bayesian modeling for PTA data analysis I: Methodology and implementation
Addressing prior dependence in hierarchical Bayesian modeling for PTA data analysis I: Methodology and implementation
Luigi Dámico
Eleonora Villa
Fatima Modica Bittordo
Aldo Barca
Francesco Alì
Massimo Meneghetti
Luca Naso
60
0
0
05 Nov 2025
Reducing normalizing flow complexity for MCMC preconditioning
Reducing normalizing flow complexity for MCMC preconditioning
David Nabergoj
Erik Štrumbelj
76
0
0
04 Nov 2025
Group-Equivariant Diffusion Models for Lattice Field Theory
Group-Equivariant Diffusion Models for Lattice Field Theory
Octavio Vega
J. Komijani
Aida El-Khadra
M. Marinković
DiffM
208
0
0
30 Oct 2025
Scaling flow-based approaches for topology sampling in $\mathrm{SU}(3)$ gauge theory
Scaling flow-based approaches for topology sampling in SU(3)\mathrm{SU}(3)SU(3) gauge theory
Claudio Bonanno
Andrea Bulgarelli
E. Cellini
A. Nada
Dario Panfalone
Davide Vadacchino
Lorenzo Verzichelli
52
0
0
29 Oct 2025
PyDPF: A Python Package for Differentiable Particle Filtering
PyDPF: A Python Package for Differentiable Particle Filtering
John-Joseph Brady
Benjamin Cox
Victor Elvira
Yunpeng Li
114
1
0
29 Oct 2025
The Neural Differential Manifold: An Architecture with Explicit Geometric Structure
The Neural Differential Manifold: An Architecture with Explicit Geometric Structure
Di Zhang
28
1
0
29 Oct 2025
An efficient probabilistic hardware architecture for diffusion-like models
An efficient probabilistic hardware architecture for diffusion-like models
Andraž Jelinčič
Owen Lockwood
Akhil Garlapati
Guillaume Verdon
Trevor McCourt
Guillaume Verdon
Trevor McCourt
DiffM
72
2
0
28 Oct 2025
A Comprehensive Evaluation Framework for Synthetic Trip Data Generation in Public Transport
A Comprehensive Evaluation Framework for Synthetic Trip Data Generation in Public Transport
Yuanyuan Wu
Zhenlin Qin
Zhenliang Ma
161
0
0
28 Oct 2025
FARMER: Flow AutoRegressive Transformer over Pixels
FARMER: Flow AutoRegressive Transformer over Pixels
Guangting Zheng
Qinyu Zhao
Tao Yang
Fei Xiao
Zhijie Lin
Jie Wu
Jiajun Deng
Y. Zhang
Rui Zhu
VGen
170
4
0
27 Oct 2025
Debiasing Reward Models by Representation Learning with Guarantees
Debiasing Reward Models by Representation Learning with Guarantees
Ignavier Ng
Patrick Blobaum
Siddharth Bhandari
Kun Zhang
Shiva Prasad Kasiviswanathan
64
0
0
27 Oct 2025
Multimodal Datasets with Controllable Mutual Information
Multimodal Datasets with Controllable Mutual Information
Raheem Karim Hashmani
G. W. Merz
Helen Qu
Mariel Pettee
K. Cranmer
104
0
0
24 Oct 2025
SCORENF: Score-based Normalizing Flows for Sampling Unnormalized distributions
SCORENF: Score-based Normalizing Flows for Sampling Unnormalized distributions
V. Kanaujia
Vipul Arora
70
0
0
24 Oct 2025
On Uncertainty Calibration for Equivariant Functions
On Uncertainty Calibration for Equivariant Functions
Edward Berman
Jacob Ginesin
Marco Pacini
Robin Walters
190
0
0
24 Oct 2025
MAGIC-Flow: Multiscale Adaptive Conditional Flows for Generation and Interpretable Classification
MAGIC-Flow: Multiscale Adaptive Conditional Flows for Generation and Interpretable Classification
Luca Caldera
Giacomo Bottacini
Lara Cavinato
OODMedIm
112
0
0
24 Oct 2025
Neural Mutual Information Estimation with Vector Copulas
Neural Mutual Information Estimation with Vector Copulas
Yanzhi Chen
Zijing Ou
Adrian Weller
Michael U. Gutmann
103
2
0
23 Oct 2025
No Intelligence Without Statistics: The Invisible Backbone of Artificial Intelligence
No Intelligence Without Statistics: The Invisible Backbone of Artificial Intelligence
Ernest Fokoué
AI4TS
43
0
0
22 Oct 2025
Towards Identifiability of Hierarchical Temporal Causal Representation Learning
Towards Identifiability of Hierarchical Temporal Causal Representation Learning
Zijian Li
Minghao Fu
Junxian Huang
Yifan Shen
Ruichu Cai
Yuewen Sun
Guangyi Chen
Kun Zhang
CML
194
0
0
21 Oct 2025
ParaStyleTTS: Toward Efficient and Robust Paralinguistic Style Control for Expressive Text-to-Speech Generation
ParaStyleTTS: Toward Efficient and Robust Paralinguistic Style Control for Expressive Text-to-Speech Generation
Haowei Lou
Hye-Young Paik
Wen Hu
Lina Yao
52
1
0
21 Oct 2025
Learning Boltzmann Generators via Constrained Mass Transport
Learning Boltzmann Generators via Constrained Mass Transport
Christopher von Klitzing
Denis Blessing
Henrik Schopmans
Pascal Friederich
Gerhard Neumann
OT
236
0
0
21 Oct 2025
Federated Conditional Conformal Prediction via Generative Models
Federated Conditional Conformal Prediction via Generative Models
Rui Xu
Sihong Xie
Wenxing Huang
Minxuan Huang
Yun Xie
W. Chen
Sihong Xie
FedML
126
0
0
15 Oct 2025
Convergence, design and training of continuous-time dropout as a random batch method
Convergence, design and training of continuous-time dropout as a random batch method
Antonio Álvarez-López
Martín Hernández
52
0
0
15 Oct 2025
Improving Generative Behavior Cloning via Self-Guidance and Adaptive Chunking
Improving Generative Behavior Cloning via Self-Guidance and Adaptive Chunking
Junhyuk So
Chiwoong Lee
Shinyoung Lee
Jungseul Ok
Eunhyeok Park
AI4CE
110
0
0
14 Oct 2025
Identifying & Interactively Refining Ambiguous User Goals for Data Visualization Code Generation
Identifying & Interactively Refining Ambiguous User Goals for Data Visualization Code Generation
Mert Inan
Anthony Sicilia
Alex Xie
Saujas Vaduguru
Daniel Fried
Malihe Alikhani
64
0
0
10 Oct 2025
Who Stole Your Data? A Method for Detecting Unauthorized RAG Theft
Who Stole Your Data? A Method for Detecting Unauthorized RAG Theft
Peiyang Liu
Ziqiang Cui
Di Liang
Wei Ye
83
1
0
09 Oct 2025
Wavefunction Flows: Efficient Quantum Simulation of Continuous Flow Models
Wavefunction Flows: Efficient Quantum Simulation of Continuous Flow Models
David Layden
Ryan Sweke
Vojtěch Havlíček
Anirban Chowdhury
Kirill Neklyudov
132
0
0
09 Oct 2025
metabeta - A fast neural model for Bayesian mixed-effects regression
metabeta - A fast neural model for Bayesian mixed-effects regression
Alex Kipnis
Marcel Binz
Eric Schulz
BDL
68
0
0
08 Oct 2025
Fisher-Bingham-like normalizing flows on the sphere
Fisher-Bingham-like normalizing flows on the sphere
Thorsten Glüsenkamp
56
0
0
06 Oct 2025
Partial Information Decomposition via Normalizing Flows in Latent Gaussian Distributions
Partial Information Decomposition via Normalizing Flows in Latent Gaussian Distributions
Wenyuan Zhao
Adithya Balachandran
Chao Tian
Paul Pu Liang
118
0
0
06 Oct 2025
Real-time Prediction of Urban Sound Propagation with Conditioned Normalizing Flows
Real-time Prediction of Urban Sound Propagation with Conditioned Normalizing Flows
Achim Eckerle
M. Spitznagel
J. Keuper
AI4CE
84
0
0
06 Oct 2025
HybridFlow: Quantification of Aleatoric and Epistemic Uncertainty with a Single Hybrid Model
HybridFlow: Quantification of Aleatoric and Epistemic Uncertainty with a Single Hybrid Model
Peter Van Katwyk
Karianne J. Bergen
145
0
0
06 Oct 2025
Neural Bayesian Filtering
Neural Bayesian Filtering
Christopher Solinas
Radovan Haluška
David Sychrovský
Finbarr Timbers
Nolan Bard
M. Buro
Martin Schmid
Nathan R Sturtevant
Michael Bowling
BDL
64
0
0
04 Oct 2025
Dale meets Langevin: A Multiplicative Denoising Diffusion Model
Dale meets Langevin: A Multiplicative Denoising Diffusion Model
Nishanth Shetty
Madhava Prasath
C. Seelamantula
DiffM
157
0
0
03 Oct 2025
ContextFlow: Context-Aware Flow Matching For Trajectory Inference From Spatial Omics Data
ContextFlow: Context-Aware Flow Matching For Trajectory Inference From Spatial Omics Data
Santanu Rathod
Francesco Ceccarelli
S. Holden
Pietro Lio
Xiao Zhang
Jovan Tanevski
44
0
0
03 Oct 2025
Adaptive Heterogeneous Mixtures of Normalising Flows for Robust Variational Inference
Adaptive Heterogeneous Mixtures of Normalising Flows for Robust Variational Inference
Benjamin Wiriyapong
Oktay Karakuş
Kirill Sidorov
BDL
104
0
0
02 Oct 2025
Black-Box Combinatorial Optimization with Order-Invariant Reinforcement Learning
Black-Box Combinatorial Optimization with Order-Invariant Reinforcement Learning
Olivier Goudet
Quentin Suire
Adrien Goëffon
F. Saubion
Sylvain Lamprier
OffRL
56
0
0
02 Oct 2025
Efficient Probabilistic Tensor Networks
Efficient Probabilistic Tensor Networks
Marawan Gamal Abdel Hameed
Guillaume Rabusseau
52
0
0
01 Oct 2025
Machine Learning and Control: Foundations, Advances, and Perspectives
Machine Learning and Control: Foundations, Advances, and Perspectives
Enrique Zuazua
AI4CE
60
1
0
30 Sep 2025
Marginal Flow: a flexible and efficient framework for density estimation
Marginal Flow: a flexible and efficient framework for density estimation
M. Negri
Jonathan Aellen
Manuel Jahn
AmirEhsan Khorashadizadeh
Volker Roth
100
0
0
30 Sep 2025
Causal-Adapter: Taming Text-to-Image Diffusion for Faithful Counterfactual Generation
Causal-Adapter: Taming Text-to-Image Diffusion for Faithful Counterfactual Generation
Lei Tong
Zhihua Liu
Chaochao Lu
Dino Oglic
Tom Diethe
Philip Teare
Sotirios A. Tsaftaris
Chen Jin
DiffMCML
186
0
0
29 Sep 2025
1234...202122
Next