Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
1912.02762
Cited By
v1
v2 (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
TPM
AI4CE
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Normalizing Flows for Probabilistic Modeling and Inference"
50 / 1,115 papers shown
Sampling metastable systems using collective variables and Jarzynski-Crooks paths
Christoph Schonle
Marylou Gabrié
T. Lelièvre
Gabriel Stoltz
192
6
0
28 May 2024
Efficient Prior Calibration From Indirect Data
O. Deniz Akyildiz
Mark Girolami
Andrew M. Stuart
Arnaud Vadeboncoeur
345
8
0
28 May 2024
Transport of Algebraic Structure to Latent Embeddings
Samuel Pfrommer
Brendon G. Anderson
Somayeh Sojoudi
205
0
0
27 May 2024
On the Identification of Temporally Causal Representation with Instantaneous Dependence
Zijian Li
Yifan Shen
Kaitao Zheng
Ruichu Cai
Xiangchen Song
Biwei Huang
Zhengmao Zhu
Guan-Hong Chen
CML
630
12
0
24 May 2024
Adaptive tempering schedules with approximative intermediate measures for filtering problems
Iris Rammelmüller
Gottfried Hastermann
Jana de Wiljes
145
1
0
23 May 2024
Maximum Entropy Reinforcement Learning via Energy-Based Normalizing Flow
Chen-Hao Chao
Chien Feng
Wei-Fang Sun
Cheng-Kuang Lee
Simon See
Chun-Yi Lee
269
16
0
22 May 2024
Alternators For Sequence Modeling
Mohammad Reza Rezaei
Adji Bousso Dieng
235
2
0
20 May 2024
Addressing Misspecification in Simulation-based Inference through Data-driven Calibration
Antoine Wehenkel
Juan L. Gamella
Ozan Sener
Jens Behrmann
Guillermo Sapiro
Marco Cuturi
J. Jacobsen
UQLM
550
23
0
14 May 2024
ISR: Invertible Symbolic Regression
Tony Tohme
M. J. Khojasteh
Mohsen Sadr
Florian Meyer
Kamal Youcef-Toumi
315
1
0
10 May 2024
How Inverse Conditional Flows Can Serve as a Substitute for Distributional Regression
Conference on Uncertainty in Artificial Intelligence (UAI), 2024
Lucas Kook
Chris Kolb
Philipp Schiele
Daniel Dold
Marcel Arpogaus
...
Philipp F. M. Baumann
Philipp Kopper
Tobias Pielok
Emilio Dorigatti
David Rügamer
BDL
AI4TS
395
2
0
08 May 2024
Out-of-Distribution Adaptation in Offline RL: Counterfactual Reasoning via Causal Normalizing Flows
Minjae Cho
Jonathan P. How
Chuangchuang Sun
OODD
OffRL
202
1
0
06 May 2024
Adaptive deep density approximation for stochastic dynamical systems
Journal of Scientific Computing (J. Sci. Comput.), 2024
Junjie He
Qifeng Liao
Xiaoliang Wan
197
4
0
05 May 2024
A Flow-Based Model for Conditional and Probabilistic Electricity Consumption Profile Generation and Prediction
Weijie Xia
Chenguang Wang
Peter Palensky
Pedro P. Vergara
311
3
0
03 May 2024
Sample-efficient neural likelihood-free Bayesian inference of implicit HMMs
International Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Sanmitra Ghosh
Paul J. Birrell
Daniela De Angelis
194
2
0
02 May 2024
A deep causal inference model for fully-interpretable travel behaviour analysis
K. Kamal
Bilal Farooq
147
1
0
02 May 2024
Deep generative modelling of canonical ensemble with differentiable thermal properties
Shuo-Hui Li
Yao-Wen Zhang
Ding Pan
DRL
SyDa
230
1
0
29 Apr 2024
Unifying Simulation and Inference with Normalizing Flows
Haoxing Du
Claudius Krause
Vinicius Mikuni
Benjamin Nachman
Ian Pang
David Shih
473
10
0
29 Apr 2024
Dexterous Grasp Transformer
Guo-Hao Xu
Yi-Lin Wei
Dian Zheng
Xiao-Ming Wu
Wei-Shi Zheng
ViT
261
19
0
28 Apr 2024
Distributional Principal Autoencoders
Xinwei Shen
N. Meinshausen
238
5
0
21 Apr 2024
Preconditioned Neural Posterior Estimation for Likelihood-free Inference
Xiaoyu Wang
Ryan P. Kelly
D. Warne
Christopher C. Drovandi
374
6
0
21 Apr 2024
Neural Flow Diffusion Models: Learnable Forward Process for Improved Diffusion Modelling
Grigory Bartosh
Dmitry Vetrov
C. A. Naesseth
DiffM
405
29
0
19 Apr 2024
Physics-integrated generative modeling using attentive planar normalizing flow based variational autoencoder
Sheikh Waqas Akhtar
DRL
228
0
0
18 Apr 2024
Practical applications of machine-learned flows on gauge fields
Ryan Abbott
M. S. Albergo
D. Boyda
D. Hackett
G. Kanwar
Fernando Romero-López
P. Shanahan
Julian M. Urban
AI4CE
209
12
0
17 Apr 2024
Diffusion posterior sampling for simulation-based inference in tall data settings
J. Linhart
Gabriel Victorino Cardoso
Alexandre Gramfort
Sylvain Le Corff
Pedro L. C. Rodrigues
DiffM
281
13
0
11 Apr 2024
Rethinking Transformer-Based Blind-Spot Network for Self-Supervised Image Denoising
AAAI Conference on Artificial Intelligence (AAAI), 2024
Junyi Li
Zhilu Zhang
W. Zuo
369
0
0
11 Apr 2024
Efficient Sound Field Reconstruction with Conditional Invertible Neural Networks
X. Karakonstantis
Efren Fernandez-Grande
Peter Gerstoft
180
1
0
10 Apr 2024
Normalizing Flows on the Product Space of SO(3) Manifolds for Probabilistic Human Pose Modeling
Olaf Dünkel
Tim Salzmann
Florian Pfaff
3DH
273
5
0
08 Apr 2024
Variational Bayesian Optimal Experimental Design with Normalizing Flows
Jiayuan Dong
Christian L. Jacobsen
Mehdi Khalloufi
Maryam Akram
Wanjiao Liu
Karthik Duraisamy
Xun Huan
BDL
418
15
0
08 Apr 2024
Bayesian Inference for Consistent Predictions in Overparameterized Nonlinear Regression
Tomoya Wakayama
BDL
311
0
0
06 Apr 2024
Dynamic Conditional Optimal Transport through Simulation-Free Flows
Gavin Kerrigan
Giosue Migliorini
Padhraic Smyth
OT
526
22
0
05 Apr 2024
Universal Functional Regression with Neural Operator Flows
Yaozhong Shi
Angela F. Gao
Zachary E. Ross
Kamyar Azizzadenesheli
266
6
0
03 Apr 2024
Conditional Pseudo-Reversible Normalizing Flow for Surrogate Modeling in Quantifying Uncertainty Propagation
Minglei Yang
Pengjun Wang
Ming Fan
Dan Lu
Yanzhao Cao
Guannan Zhang
AI4CE
289
1
0
31 Mar 2024
Learning Sampling Distribution and Safety Filter for Autonomous Driving with VQ-VAE and Differentiable Optimization
Simon Idoko
Basant Sharma
A. K. Singh
202
2
0
28 Mar 2024
One flow to correct them all: improving simulations in high-energy physics with a single normalising flow and a switch
Caio C. Daumann
M. Donega
Johannes Erdmann
M. Galli
Jan Lukas Späh
D. Valsecchi
AI4CE
146
1
0
27 Mar 2024
Convergence analysis of OT-Flow for sample generation
Yang Jing
Lei Li
168
1
0
24 Mar 2024
Stochastic parameter reduced-order model based on hybrid machine learning approaches
Cheng Fang
Jinqiao Duan
177
0
0
24 Mar 2024
Fast and Unified Path Gradient Estimators for Normalizing Flows
International Conference on Learning Representations (ICLR), 2024
Lorenz Vaitl
Ludwig Winkler
Lorenz Richter
Pan Kessel
274
5
0
23 Mar 2024
Deep Generative Model based Rate-Distortion for Image Downscaling Assessment
Computer Vision and Pattern Recognition (CVPR), 2024
Yuanbang Liang
Bhavesh Garg
Paul L. Rosin
Yipeng Qin
EGVM
312
4
0
22 Mar 2024
A Practical Guide to Statistical Distances for Evaluating Generative Models in Science
Sebastian Bischoff
Alana Darcher
Michael Deistler
Richard Gao
Franziska Gerken
...
Auguste Schulz
Zinovia Stefanidi
Shoji Toyota
Linda Ulmer
Julius Vetter
SyDa
230
5
0
19 Mar 2024
Riemannian Flow Matching Policy for Robot Motion Learning
Max Braun
Noémie Jaquier
Leonel Rozo
Tamim Asfour
265
39
0
15 Mar 2024
Generative Modelling of Stochastic Rotating Shallow Water Noise
Dan Crisan
Oana Lang
Alexander Lobbe
69
0
0
15 Mar 2024
LM2D: Lyrics- and Music-Driven Dance Synthesis
Wenjie Yin
Xuejiao Zhao
Yi Yu
Hang Yin
Danica Kragic
Mårten Björkman
243
5
0
14 Mar 2024
Mean-Field Microcanonical Gradient Descent
International Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Marcus Häggbom
Morten Karlsmark
Joakim andén
284
0
0
13 Mar 2024
PaddingFlow: Improving Normalizing Flows with Padding-Dimensional Noise
Qinglong Meng
Chongkun Xia
Xueqian Wang
225
1
0
13 Mar 2024
Acquiring Diverse Skills using Curriculum Reinforcement Learning with Mixture of Experts
International Conference on Machine Learning (ICML), 2024
Onur Celik
Aleksandar Taranovic
Gerhard Neumann
345
16
0
11 Mar 2024
Variational Inference of Parameters in Opinion Dynamics Models
International Conference on Web and Social Media (ICWSM), 2024
Jacopo Lenti
Fabrizio Silvestri
G. D. F. Morales
207
7
0
08 Mar 2024
Density-Regression: Efficient and Distance-Aware Deep Regressor for Uncertainty Estimation under Distribution Shifts
International Conference on Artificial Intelligence and Statistics (AISTATS), 2024
H. Bui
Anqi Liu
OOD
BDL
UQCV
328
5
0
07 Mar 2024
ProbSAINT: Probabilistic Tabular Regression for Used Car Pricing
Kiran Madhusudhanan
Gunnar Behrens
Ilia Koloiarov
Lars Schmidt-Thieme
206
4
0
06 Mar 2024
Improving Variational Autoencoder Estimation from Incomplete Data with Mixture Variational Families
Vaidotas Šimkus
Michael U. Gutmann
211
4
0
05 Mar 2024
Fast, Scale-Adaptive, and Uncertainty-Aware Downscaling of Earth System Model Fields with Generative Machine Learning
P. Hess
Michael Aich
Baoxiang Pan
Niklas Boers
AI4Cl
459
2
0
05 Mar 2024
Previous
1
2
3
...
7
8
9
...
21
22
23
Next
Page 8 of 23
Page
of 23
Go
