Normalizing Flows for Probabilistic Modeling and Inference

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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Estimation Beyond Data Reweighting: Kernel Method of Moments Heiner Kremer Yassine Nemmour Bernhard Schölkopf Jia-Jie Zhu 25 7 0 18 May 2023
A Flow-Based Generative Model for Rare-Event Simulation Lachlan J. Gibson Marcus Hoerger Dirk P. Kroese 13 4 0 13 May 2023
The Score-Difference Flow for Implicit Generative Modeling Romann M. Weber DiffM 21 2 0 25 Apr 2023
Machine Learning and the Future of Bayesian Computation Steven Winter Trevor Campbell Lizhen Lin Sanvesh Srivastava David B. Dunson TPM 31 4 0 21 Apr 2023
Semi-supervised Learning of Pushforwards For Domain Translation & Adaptation N. Panda Natalie Klein Dominic Yang P. Gasda Diane Oyen 25 1 0 18 Apr 2023
Meta-Learned Models of Cognition Marcel Binz Ishita Dasgupta A. Jagadish M. Botvinick Jane X. Wang Eric Schulz 28 24 0 12 Apr 2023
Binary Latent Diffusion Ze Wang Jiang Wang Zicheng Liu Qiang Qiu 19 13 0 10 Apr 2023
Neural Diffeomorphic Non-uniform B-spline Flows S. Hong S. Chun 27 1 0 07 Apr 2023
Quantum Conformal Prediction for Reliable Uncertainty Quantification in Quantum Machine Learning Sangwoo Park Osvaldo Simeone 19 9 0 06 Apr 2023
Diffusion Bridge Mixture Transports, Schrödinger Bridge Problems and Generative Modeling Stefano Peluchetti OT DiffM 11 48 0 03 Apr 2023
Ensemble weather forecast post-processing with a flexible probabilistic neural network approach P. Mlakar J. Merse Jana Faganeli Pucer 17 4 0 29 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 19 0 0 21 Mar 2023
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 26 7 0 06 Mar 2023
Progressive Bayesian Particle Flows based on Optimal Transport Map Sequences U. Hanebeck OT 11 1 0 04 Mar 2023
Transformed Distribution Matching for Missing Value Imputation He Zhao Ke Sun Amir Dezfouli Edwin V. Bonilla 24 19 0 20 Feb 2023
The Geometry of Neural Nets' Parameter Spaces Under Reparametrization Agustinus Kristiadi Felix Dangel Philipp Hennig 22 11 0 14 Feb 2023
Variational Mixture of HyperGenerators for Learning Distributions Over Functions Batuhan Koyuncu Pablo Sánchez-Martín I. Peis Pablo Martínez Olmos Isabel Valera BDL GAN DRL 14 5 0 13 Feb 2023
Sampling-Based Accuracy Testing of Posterior Estimators for General Inference Pablo Lemos A. Coogan Y. Hezaveh Laurence Perreault Levasseur 29 30 0 06 Feb 2023
Fixed-kinetic Neural Hamiltonian Flows for enhanced interpretability and reduced complexity Vincent Souveton Arnaud Guillin J. Jasche G. Lavaux Manon Michel 16 3 0 03 Feb 2023
Misspecification-robust Sequential Neural Likelihood for Simulation-based Inference Ryan P. Kelly David J. Nott David T. Frazier D. Warne Christopher C. Drovandi 20 10 0 31 Jan 2023
Rigid Body Flows for Sampling Molecular Crystal Structures Jonas Köhler Michele Invernizzi P. D. Haan Frank Noé AI4CE 32 27 0 26 Jan 2023
Solving Inverse Physics Problems with Score Matching Benjamin Holzschuh S. Vegetti Nils Thuerey DiffM 11 9 0 24 Jan 2023
Towards Flexibility and Interpretability of Gaussian Process State-Space Model Zhidi Lin Feng Yin Juan Maroñas 21 7 0 21 Jan 2023
A Comprehensive Review of Data-Driven Co-Speech Gesture Generation Simbarashe Nyatsanga Taras Kucherenko Chaitanya Ahuja G. Henter Michael Neff SLR 33 90 0 13 Jan 2023
Deep Injective Prior for Inverse Scattering AmirEhsan Khorashadizadeh Vahid Khorashadi-Zadeh Sepehr Eskandari Guy A. E. Vandenbosch Ivan Dokmanić 18 6 0 08 Jan 2023
EndoBoost: a plug-and-play module for false positive suppression during computer-aided polyp detection in real-world colonoscopy (with dataset) Haoran Wang Yan Zhu W. Qin Yizhe Zhang Pinghong Zhou Quanlin Li Shuo Wang Zhijian Song 27 2 0 23 Dec 2022
Distribution-aware Goal Prediction and Conformant Model-based Planning for Safe Autonomous Driving Jonathan M Francis Bingqing Chen Weiran Yao Eric Nyberg Jean Oh OOD 24 5 0 16 Dec 2022
Towards Explainability in Modular Autonomous Vehicle Software Hongrui Zheng Zirui Zang Shuo Yang Rahul Mangharam 18 0 0 01 Dec 2022
PaCMO: Partner Dependent Human Motion Generation in Dyadic Human Activity using Neural Operators Md Ashiqur Rahman Jasorsi Ghosh Hrishikesh Viswanath Kamyar Azizzadenesheli Aniket Bera 27 8 0 25 Nov 2022
Validation Diagnostics for SBI algorithms based on Normalizing Flows J. Linhart Alexandre Gramfort P. L. C. R. M. -. Inria 33 7 0 17 Nov 2022
Diffusion Models for Medical Image Analysis: A Comprehensive Survey A. Kazerouni Ehsan Khodapanah Aghdam Moein Heidari Reza Azad Mohsen Fayyaz I. Hacihaliloglu Dorit Merhof DiffM MedIm 35 354 0 14 Nov 2022
Aspects of scaling and scalability for flow-based sampling of lattice QCD Ryan Abbott M. S. Albergo Aleksandar Botev D. Boyda Kyle Cranmer ... Ali Razavi Danilo Jimenez Rezende F. Romero-López P. Shanahan Julian M. Urban 24 33 0 14 Nov 2022
OverFlow: Putting flows on top of neural transducers for better TTS Shivam Mehta Ambika Kirkland Harm Lameris Jonas Beskow Éva Székely G. Henter AI4TS 26 12 0 13 Nov 2022
Flows for Flows: Training Normalizing Flows Between Arbitrary Distributions with Maximum Likelihood Estimation Samuel Klein J. A. Raine T. Golling TPM 20 10 0 04 Nov 2022
An optimal control perspective on diffusion-based generative modeling Julius Berner Lorenz Richter Karen Ullrich DiffM 23 80 0 02 Nov 2022
AltUB: Alternating Training Method to Update Base Distribution of Normalizing Flow for Anomaly Detection Yeongmin Kim Huiwon Jang Dongkeon Lee Ho-Jin Choi 21 9 0 26 Oct 2022
Whitening Convergence Rate of Coupling-based Normalizing Flows Felix Dräxler Christoph Schnörr Ullrich Kothe 34 7 0 25 Oct 2022
Optimization for Amortized Inverse Problems Tianci Liu Tong Yang Quan Zhang Qi Lei 24 4 0 25 Oct 2022
Transport Reversible Jump Proposals L. Davies Roberto Salomone Matthew Sutton Christopher C. Drovandi BDL 19 1 0 22 Oct 2022
TTTFlow: Unsupervised Test-Time Training with Normalizing Flow David Osowiechi G. A. V. Hakim Mehrdad Noori Milad Cheraghalikhani Ismail Ben Ayed Christian Desrosiers OOD 27 21 0 20 Oct 2022
Sampling using Adaptive Regenerative Processes Hector McKimm Andi Q. Wang M. Pollock Christian P. Robert Gareth O. Roberts 16 1 0 18 Oct 2022
Blind Super-Resolution for Remote Sensing Images via Conditional Stochastic Normalizing Flows Hanlin Wu Ning Ni Shan Wang Li-bao Zhang 30 8 0 14 Oct 2022
Modular Flows: Differential Molecular Generation Yogesh Verma Samuel Kaski Markus Heinonen Vikas K. Garg 23 14 0 12 Oct 2022
Connecting Surrogate Safety Measures to Crash Probablity via Causal Probabilistic Time Series Prediction Jiajian Lu Offer Grembek M. Hansen AI4TS 19 0 0 04 Oct 2022
Training Normalizing Flows from Dependent Data Matthias Kirchler C. Lippert Marius Kloft TPM 16 2 0 29 Sep 2022
Local_INN: Implicit Map Representation and Localization with Invertible Neural Networks Zirui Zang Hongrui Zheng Johannes Betz Rahul Mangharam 26 6 0 24 Sep 2022
Turning Normalizing Flows into Monge Maps with Geodesic Gaussian Preserving Flows G. Morel Lucas Drumetz Simon Benaïchouche Nicolas Courty F. Rousseau OT 26 6 0 22 Sep 2022
Sample-based Uncertainty Quantification with a Single Deterministic Neural Network T. Kanazawa Chetan Gupta UQCV 25 4 0 17 Sep 2022
Asymptotic Statistical Analysis of $f$ -divergence GAN Xinwei Shen Kani Chen Tong Zhang 10 2 0 14 Sep 2022
Deep Variational Free Energy Approach to Dense Hydrogen H.-j. Xie Ziqun Li Han Wang Linfeng Zhang Lei Wang 32 9 0 13 Sep 2022