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

TPM

AI4CE

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Papers citing "Normalizing Flows for Probabilistic Modeling and Inference"

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Simulation-based inference for Precision Neutrino Physics through Neural Monte Carlo tuning A. Gavrikov A. Serafini D. Dolzhikov A. Garfagnini M. Gonchar ... M. Torri C. Tuvé C. Venettacci G. Verde L. Votano 106 0 0 31 Jul 2025
Comparing Normalizing Flows with Kernel Density Estimation in Estimating Risk of Automated Driving Systems Erwin de Gelder Maren Buermann Olaf Op den Camp 99 0 0 30 Jul 2025
A Survey on Generative Model Unlearning: Fundamentals, Taxonomy, Evaluation, and Future Direction Xiaohua Feng Jiaming Zhang Fengyuan Yu C. Wang Li Zhang Kaixiang Li Yuyuan Li Chaochao Chen Jianwei Yin MU 230 2 0 26 Jul 2025
Flow Stochastic Segmentation Networks Fabio De Sousa Ribeiro Omar Todd Charles Jones Avinash Kori Raghav Mehta Ben Glocker 209 0 0 24 Jul 2025
The surprising strength of weak classifiers for validating neural posterior estimates Vansh Bansal Tianyu Chen James G. Scott AAML 152 1 0 22 Jul 2025
CoLT: The conditional localization test for assessing the accuracy of neural posterior estimates Tianyu Chen Vansh Bansal James G. Scott 100 0 0 22 Jul 2025
Recent Advances in Simulation-based Inference for Gravitational Wave Data Analysis Bo-Hua Liang He Wang 237 2 0 15 Jul 2025
Exploring Image Generation via Mutually Exclusive Probability Spaces and Local Correlation Hypothesis Chenqiu Zhao Anup Basu 210 0 0 26 Jun 2025
Reversing Flow for Image RestorationComputer Vision and Pattern Recognition (CVPR), 2025 Haina Qin Wenyang Luo L. xilinx Wang Dandan Zheng Jingdong Chen Ming Yang Bing Li Weiming Hu 241 2 0 20 Jun 2025
From Lab to Factory: Pitfalls and Guidelines for Self-/Unsupervised Defect Detection on Low-Quality Industrial Images Sebastian Hönel Jonas Nordqvist 167 0 0 20 Jun 2025
Hunyuan3D 2.5: Towards High-Fidelity 3D Assets Generation with Ultimate Details Zeqiang Lai Yunfei Zhao Haolin Liu Zibo Zhao Qingxiang Lin ... Yuhong Liu Jie Jiang Linus J. Huang Chunchao Guo 170 28 0 19 Jun 2025
Expressive Score-Based Priors for Distribution Matching with Geometry-Preserving Regularization Ziyu Gong Jim Lim David I. Inouye DiffM 170 0 0 17 Jun 2025
Decoupled Classifier-Free Guidance for Counterfactual Diffusion Models Tian Xia Fabio De Sousa Ribeiro Rajat Rasal Avinash Kori Raghav Mehta Ben Glocker DiffM 338 2 0 17 Jun 2025
Causal Mediation Analysis with Multiple Mediators: A Simulation Approach Jesse Zhou G. Wodtke CML 148 0 0 16 Jun 2025
Variational Inference with Mixtures of Isotropic Gaussians Marguerite Petit-Talamon Marc Lambert Anna Korba BDL 353 0 0 16 Jun 2025
Effect Decomposition of Functional-Output Computer Experiments via Orthogonal Additive Gaussian Processes Yu Tan Yongxiang Li Xiaowu Dai Kwok-Leung Tsui 126 0 0 15 Jun 2025
Scaling Probabilistic Circuits via Monarch Matrices Honghua Zhang Meihua Dang Benjie Wang Stefano Ermon Nanyun Peng Karen Ullrich TPM MoE 266 6 0 14 Jun 2025
On the performance of multi-fidelity and reduced-dimensional neural emulators for inference of physiological boundary conditions Chloe H. Choi Andrea Zanoni Daniele E. Schiavazzi Alison L. Marsden 96 0 0 13 Jun 2025
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 283 0 0 11 Jun 2025
Variational Inference Optimized Using the Curved Geometry of Coupled Free EnergyArtificial General Intelligence (AGI), 2025 Kenric Nelson Igor Oliveira Amenah Al-Najafi Fode Zhang Hon Keung Tony Ng DRL 241 2 0 10 Jun 2025
Self-Cascaded Diffusion Models for Arbitrary-Scale Image Super-Resolution Junseo Bang Joonhee Lee Kyeonghyun Lee Haechang Lee Dong un Kang Se Young Chun 242 0 0 09 Jun 2025
Diffusion Counterfactual Generation with Semantic Abduction Rajat Rasal Avinash Kori Fabio De Sousa Ribeiro Tian Xia Ben Glocker DiffM 212 3 0 09 Jun 2025
Addressing Correlated Latent Exogenous Variables in Debiased Recommender Systems Shuqiang Zhang Yuchao Zhang Jinkun Chen Haochen Sui CML 147 1 0 09 Jun 2025
Data-Driven High-Dimensional Statistical Inference with Generative ModelsJournal of High Energy Physics (JHEP), 2025 Oz Amram Manuel Szewc 118 1 0 06 Jun 2025
Multilevel neural simulation-based inference Yuga Hikida Ayush Bharti Niall Jeffrey F. Briol 316 4 0 06 Jun 2025
Revisiting Unbiased Implicit Variational Inference Tobias Pielok Bernd Bischl David Rügamer BDL 216 0 0 04 Jun 2025
Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright ProtectionConference on Uncertainty in Artificial Intelligence (UAI), 2025 Tianci Liu Tong Yang Quan Zhang Qi Lei WIGM AAML 262 0 0 03 Jun 2025
Asymptotically exact variational flows via involutive MCMC kernels Zuheng Xu Trevor Campbell 177 1 0 02 Jun 2025
Enabling Probabilistic Learning on Manifolds through Double Diffusion Maps Dimitris G. Giovanis N. Evangelou Ioannis G. Kevrekidis Roger G. Ghanem 137 0 0 02 Jun 2025
Temporal Causal-based Simulation for Realistic Time-series Generation Nikolaos Gkorgkolis Nikolaos Kougioulis Mingxue Wang Bora Caglayan Andrea Tonon Dario Simionato Ioannis Tsamardinos CML 200 1 0 02 Jun 2025
On the Hardness of Approximating Distributions with Tractable Probabilistic Models John Leland YooJung Choi TPM 309 1 0 02 Jun 2025
Beyond Diagonal Covariance: Flexible Posterior VAEs via Free-Form Injective Flows Peter Sorrenson Lukas Lührs Hans Olischläger Ullrich Kothe 160 0 0 02 Jun 2025
Efficient Regression-Based Training of Normalizing Flows for Boltzmann Generators Danyal Rehman Oscar Davis Jiarui Lu Jian Tang M. Bronstein Yoshua Bengio Alexander Tong A. Bose OOD 191 0 0 01 Jun 2025
Learning geometry and topology via multi-chart flows Hanlin Yu Søren Hauberg Marcelo Hartmann Arto Klami Georgios Arvanitidis AI4CE 202 1 0 30 May 2025
JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows Eshant English Yingzhen Li 182 1 0 29 May 2025
FlowAlign: Trajectory-Regularized, Inversion-Free Flow-based Image Editing Jeongsol Kim Yeobin Hong Jong Chul Ye J. C. Ye 272 5 0 29 May 2025
Simplifying Bayesian Optimization Via In-Context Direct Optimum Sampling Gustavo Sutter Pessurno de Carvalho Mohammed Abdulrahman Hao Wang Sriram Ganapathi Subramanian Marc St-Aubin Sharon O'Sullivan Lawrence Wan Luis Ricardez-Sandoval Pascal Poupart Agustinus Kristiadi 200 1 0 29 May 2025
Semantics-Aware Human Motion Generation from Audio InstructionsGraphical Models (GM), 2025 Zi-An Wang Shihao Zou Shiyao Yu Mingyuan Zhang Chao Dong VGen 124 1 0 29 May 2025
Normalizing Flows are Capable Models for RL Raj Ghugare Benjamin Eysenbach OffRL AI4CE 338 4 0 29 May 2025
Task-Driven Implicit Representations for Automated Design of LiDAR Systems Nikhil Behari Aaron Young Akshat Dave Ramesh Raskar Ramesh Raskar 3DV 169 0 0 28 May 2025
Frugal Incremental Generative Modeling using Variational Autoencoders Victor Enescu Hichem Sahbi CLL 221 1 0 28 May 2025
Anomalies by Synthesis: Anomaly Detection using Generative Diffusion Models for Off-Road NavigationIEEE International Conference on Robotics and Automation (ICRA), 2025 Siddharth Ancha Sunshine Jiang Travis Manderson Laura Brandt Yilun Du Philip R. Osteen Nicholas Roy 404 2 0 28 May 2025
Practical estimation of the optimal classification error with soft labels and calibration Ryota Ushio Takashi Ishida Masashi Sugiyama 239 1 0 27 May 2025
Wavelet Flow For Extragalactic Foreground Simulations M. Mebratu W. L. K. Wu 378 2 0 27 May 2025
Scalable and adaptive prediction bands with kernel sum-of-squares Louis Allain Sébastien Da Veiga B. Staber 162 1 0 27 May 2025
Decision Flow Policy Optimization Jifeng Hu Sili Huang Siyuan Guo Zhaogeng Liu Li Shen Lichao Sun Hechang Chen Yi-Ju Chang Dacheng Tao 289 0 0 26 May 2025
Multivariate Latent Recalibration for Conditional Normalizing Flows Victor Dheur Souhaib Ben Taieb BDL 309 1 0 22 May 2025
Hybrid Bernstein Normalizing Flows for Flexible Multivariate Density Regression with Interpretable MarginalsConference on Uncertainty in Artificial Intelligence (UAI), 2025 Marcel Arpogaus Thomas Kneib Thomas Nagler David Rügamer 266 0 0 20 May 2025
FMSD-TTS: Few-shot Multi-Speaker Multi-Dialect Text-to-Speech Synthesis for Ü-Tsang, Amdo and Kham Speech Dataset Generation Yutong Liu Ziyue Zhang Ban Ma-bao Yuqing Cai Yongbin Yu Renzeng Duojie Xiangxiang Wang Fan Gao Cheng Huang Nyima Tashi 225 3 0 20 May 2025
Minimum-Excess-Work Guidance Christopher Kolloff Tobias Höppe Emmanouil Angelis Mathias Jacob Schreiner Stefan Bauer Andrea Dittadi Simon Olsson OT 356 0 0 19 May 2025