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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Title
Path Gradients after Flow Matching Lorenz Vaitl Leon Klein 219 1 0 15 May 2025
Uncertainty-Aware Surrogate-based Amortized Bayesian Inference for Computationally Expensive Models Stefania Scheurer Philipp Reiser Tim Brünnette Wolfgang Nowak A. Guthke Paul-Christian Bürkner 340 0 0 13 May 2025
Contrastive Normalizing Flows for Uncertainty-Aware Parameter Estimation Ibrahim Elsharkawy Yonatan Kahn 151 4 0 13 May 2025
Flow Models for Unbounded and Geometry-Aware Distributional Reinforcement Learning Simo Alami C. Rim Kaddah Jesse Read Marie-Paule Cani 261 0 0 07 May 2025
Hamiltonian Normalizing Flows as kinetic PDE solvers: application to the 1D Vlasov-Poisson Equations Vincent Souveton Sébastien Terrana 255 0 0 07 May 2025
Conformal Prediction with Corrupted Labels: Uncertain Imputation and Robust Re-weighting Shai Feldman Stephen Bates Yaniv Romano 478 2 0 07 May 2025
Ergodic Generative Flows Leo Maxime Brunswic Mateo Clemente Rui Heng Yang Adam Sigal Amir Rasouli Yinchuan Li 244 1 0 06 May 2025
Robustly Invertible Nonlinear Dynamics and the BiLipREN: Contracting Neural Models with Contracting Inverses Yurui Zhang Ruigang Wang I. Manchester 198 0 0 05 May 2025
Enhancing Obsolescence Forecasting with Deep Generative Data Augmentation: A Semi-Supervised Framework for Low-Data Industrial Applications Elie Saad Mariem Besbes Marc Zolghadri Victor Czmil Claude Baron Vincent Bourgeois 210 0 0 02 May 2025
Energy-Based Coarse-Graining in Molecular Dynamics: A Flow-Based Framework without DataJournal of Chemical Theory and Computation (JCTC), 2025 Maximilian Stupp P. S. Koutsourelakis 303 1 0 29 Apr 2025
Flow Along the K-Amplitude for Generative Modeling Weitao Du Shuning Chang Jiasheng Tang Yu Rong F. Wang Shengchao Liu 209 0 0 27 Apr 2025
Generative Fields: Uncovering Hierarchical Feature Control for StyleGAN via Inverted Receptive Fields Zhuo He Paul Henderson Nicolas Pugeault GAN 276 0 0 24 Apr 2025
MAYA: Addressing Inconsistencies in Generative Password Guessing through a Unified Benchmark William Corrias Fabio De Gaspari Dorjan Hitaj L. Mancini 251 1 0 23 Apr 2025
Unconstrained Monotonic Calibration of Predictions in Deep Ranking SystemsAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2025 Yimeng Bai Shunyu Zhang Yanzhe Zhang Hu Liu Wentian Bao Enyun Yu Fuli Feng Wenwu Ou 242 1 0 19 Apr 2025
Simulation-based inference for stochastic nonlinear mixed-effects models with applications in systems biology Henrik Häggström Sebastian Persson Marija Cvijovic Umberto Picchini 185 0 0 15 Apr 2025
Taming High-Dimensional Dynamics: Learning Optimal Projections onto Spectral Submanifolds Hugo Buurmeijer Luis A. Pabon J. I. Alora Roshan S. Kaundinya George Haller Marco Pavone 311 0 0 04 Apr 2025
Multi-fidelity Parameter Estimation Using Conditional Diffusion Models Caroline Tatsuoka Minglei Yang Dongbin Xiu Guannan Zhang DiffM 296 3 0 02 Apr 2025
Time-Series Forecasting via Topological Information Supervised Framework with Efficient Topological Feature Learning Zixin Lin Nur Fariha Syaqina Zulkepli AI4TS AI4CE 160 0 0 31 Mar 2025
Squared families: Searching beyond regular probability models Russell Tsuchida Jiawei Liu Cheng Soon Ong Dino Sejdinovic 176 1 0 27 Mar 2025
A friendly introduction to triangular transport M. Ramgraber Daniel Sharp M. Le Provost Youssef Marzouk 234 0 0 27 Mar 2025
Generating Synthetic Data with Formal Privacy Guarantees: State of the Art and the Road Ahead Viktor Schlegel Anil A Bharath Zilong Zhao Kevin Yee 231 3 0 26 Mar 2025
Learning Straight Flows by Learning Curved Interpolants Shiv Shankar Tomas Geffner 248 0 0 26 Mar 2025
Graphical Transformation Models Matthias Herp Johannes Brachem Michael Altenbuchinger Thomas Kneib 397 1 0 22 Mar 2025
Bezier Distillation Ling Feng SK Yang 127 0 0 20 Mar 2025
DeCaFlow: A deconfounding causal generative model Alejandro Almodóvar Adrián Javaloy J. Parras Santiago Zazo Isabel Valera CML 337 0 0 19 Mar 2025
End-to-End Optimal Detector Design with Mutual Information Surrogates K. Wozniak Stephen Mulligan J. Kieseler Markus Klute Francois Fleuret Tobias Golling 238 2 0 18 Mar 2025
Theoretical Foundation of Flow-Based Time Series Generation: Provable Approximation, Generalization, and Efficiency Jiangxuan Long Zhao Song Chiwun Yang AI4TS 894 2 0 18 Mar 2025
On Local Posterior Structure in Deep EnsemblesInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2025 Mikkel Jordahn Jonas Vestergaard Jensen Mikkel N. Schmidt Michael Riis Andersen UQCV BDL OOD 326 0 0 17 Mar 2025
FlowKac: An Efficient Neural Fokker-Planck solver using Temporal Normalizing Flows and the Feynman-Kac Formula Naoufal El Bekri Lucas Drumetz Franck Vermet 234 0 0 14 Mar 2025
Characterizing Nonlinear Dynamics via Smooth Prototype Equivalences Roy Friedman Noa Moriel Matthew Ricci Guy Pelc Yair Weiss Mor Nitzan 192 1 0 13 Mar 2025
Theoretical Guarantees for High Order Trajectory Refinement in Generative Flows Chengyue Gong Xiaoyu Li Yingyu Liang Jiangxuan Long Zhenmei Shi Zhao Song Yu Tian 255 9 0 12 Mar 2025
NAMI: Efficient Image Generation via Bridged Progressive Rectified Flow Transformers Yuhang Ma Bo Cheng Shanyuan Liu Ao Ma Xiaoyu Wu Xiaoyu Wu Dawei Leng Yuhui Yin 286 0 0 12 Mar 2025
Post-interactive Multimodal Trajectory Prediction for Autonomous DrivingTransportation Research Part C: Emerging Technologies (TRC), 2025 Ziyi Huang Yuchen Ren Didong Li Yao Mu Hongmao Qin Nan Zheng 187 0 0 12 Mar 2025
Discriminative versus Generative Approaches to Simulation-based Inference Benjamin Nachman Yuan-Tang Chou W. Bhimji Benjamin Nachman 194 3 0 11 Mar 2025
Multilevel Generative Samplers for Investigating Critical PhenomenaInternational Conference on Learning Representations (ICLR), 2025 Ankur Singha E. Cellini K. Nicoli K. Jansen Stefan Kühn Shinichi Nakajima 321 4 0 11 Mar 2025
Synchronized Video-to-Audio Generation via Mel Quantization-Continuum DecompositionComputer Vision and Pattern Recognition (CVPR), 2025 Juncheng Wang Chao Xu Cheng Yu Lei Shang Zhe Hu Shujun Wang Liefeng Bo DiffM VGen 222 2 0 10 Mar 2025
Robust Simulation-Based Inference under Missing Data via Neural ProcessesInternational Conference on Learning Representations (ICLR), 2025 Yogesh Verma Ayush Bharti Vikas Garg 221 4 0 03 Mar 2025
End-To-End Learning of Gaussian Mixture Priors for Diffusion SamplerInternational Conference on Learning Representations (ICLR), 2025 Denis Blessing Xiaogang Jia Gerhard Neumann DiffM 273 6 0 01 Mar 2025
Discovering Antagonists in Networks of Systems: Robot Deployment Ingeborg Wenger P. Eberhard Henrik Ebel 176 0 0 27 Feb 2025
Bayesian Computation in Deep Learning Wenlong Chen Bolian Li Ruqi Zhang Yingzhen Li BDL 472 1 0 25 Feb 2025
VCT: Training Consistency Models with Variational Noise Coupling Gianluigi Silvestri Luca Ambrogioni Chieh-Hsin Lai Yuhta Takida Yuki Mitsufuji 324 6 0 25 Feb 2025
Diffusion Models for conditional MRI generation Miguel Herencia García del Castillo Ricardo Moya Garcia Manuel Jesús Cerezo Mazón Ekaitz Arriola Garcia Pablo Menéndez Fernández-Miranda MedIm 183 0 0 25 Feb 2025
Your Assumed DAG is Wrong and Here's How To Deal With ItCLEaR (CLEaR), 2025 Kirtan Padh Zhufeng Li Cecilia Casolo Niki Kilbertus CML 372 0 0 24 Feb 2025
Flow-based Bayesian filtering for high-dimensional nonlinear stochastic dynamical systemsComputer Methods in Applied Mechanics and Engineering (CMAME), 2025 Xintong Wang Xiaofei Guan Ling Guo Hao Wu BDL 208 0 0 22 Feb 2025
Conditional sampling within generative diffusion models Zheng Zhao Ziwei Luo Jens Sjölund Thomas B. Schon DiffM VLM 401 11 0 20 Feb 2025
Value Gradient Sampler: Sampling as Sequential Decision Making Sangwoong Yoon Himchan Hwang Hyeokju Jeong Dong Kyu Shin Che-Sang Park Sehee Kwon Frank C. Park 340 1 0 18 Feb 2025
In-Context Parametric Inference: Point or Distribution Estimators? Sarthak Mittal Yoshua Bengio Nikolay Malkin Guillaume Lajoie 269 1 0 17 Feb 2025
Machine learning for modelling unstructured grid data in computational physics: a reviewInformation Fusion (Inf. Fusion), 2025 Sibo Cheng Marc Bocquet Weiping Ding Tobias S. Finn Rui Fu ... Yong Zeng Mingrui Zhang Hao Zhou Kewei Zhu Rossella Arcucci PINN AI4CE 508 13 0 13 Feb 2025
Designing a Conditional Prior Distribution for Flow-Based Generative Models Noam Issachar Mohammad Salama Raanan Fattal Sagie Benaim 391 0 0 13 Feb 2025
Multifidelity Simulation-based Inference for Computationally Expensive Simulators Anastasia N. Krouglova Hayden R. Johnson Basile Confavreux Michael Deistler P. J. Gonçalves 462 9 0 12 Feb 2025