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Variational Inference with Normalizing Flows

21 May 2015

Danilo Jimenez Rezende

Papers citing "Variational Inference with Normalizing Flows"

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Title
Compression, Regularity, Randomness and Emergent Structure: Rethinking Physical Complexity in the Data-Driven Era Nima Dehghani AI4CE 110 0 0 12 May 2025
MAGE:A Multi-stage Avatar Generator with Sparse Observations Fangyu Du Yang Yang Xuehao Gao Hongye Hou VGen 56 0 0 09 May 2025
Generating Reliable Synthetic Clinical Trial Data: The Role of Hyperparameter Optimization and Domain Constraints Waldemar Hahn Jan-Niklas Eckardt Christoph Röllig Martin Sedlmayr J. Middeke M. Wolfien 76 0 0 08 May 2025
Boosting Statistic Learning with Synthetic Data from Pretrained Large Models Jialong Jiang Wenkang Hu Jian Huang Yuling Jiao Xu Liu DiffM 83 0 0 08 May 2025
Hamiltonian Normalizing Flows as kinetic PDE solvers: application to the 1D Vlasov-Poisson Equations Vincent Souveton Sébastien Terrana 96 0 0 07 May 2025
Conformal Prediction with Corrupted Labels: Uncertain Imputation and Robust Re-weighting Shai Feldman Stephen Bates Yaniv Romano 181 0 0 07 May 2025
Localized Diffusion Models for High Dimensional Distributions Generation Georg Gottwald Shuigen Liu Youssef Marzouk Sebastian Reich X. Tong DiffM 71 1 0 07 May 2025
Real-Time Person Image Synthesis Using a Flow Matching Model Jiwoo Jeong Kirok Kim Wooju Kim Nam-Joon Kim 3DH 111 0 0 06 May 2025
Physics-Informed Sylvester Normalizing Flows for Bayesian Inference in Magnetic Resonance Spectroscopy Julian P Merkofer D. V. D. Sande A. Bhogal Ruud J. G. van Sloun 70 0 0 06 May 2025
Learning and Transferring Physical Models through Derivatives Alessandro Trenta Andrea Cossu Davide Bacciu AI4CE 78 0 0 02 May 2025
Distilling Two-Timed Flow Models by Separately Matching Initial and Terminal Velocities Pramook Khungurn Pratch Piyawongwisal Sira Sriswadi Supasorn Suwajanakorn 146 0 0 02 May 2025
What's Wrong with Your Synthetic Tabular Data? Using Explainable AI to Evaluate Generative Models Jan Kapar Niklas Koenen Martin Jullum 114 0 0 29 Apr 2025
Unsupervised Surrogate Anomaly Detection Simon Klüttermann Tim Katzke Emmanuel Müller 47 0 0 29 Apr 2025
Model uncertainty quantification using feature confidence sets for outcome excursions Junting Ren Armin Schwartzman 100 0 0 28 Apr 2025
SD-KDE: Score-Debiased Kernel Density Estimation Elliot L. Epstein Rajat Dwaraknath Thanawat Sornwanee John Winnicki Jerry Weihong Liu 41 1 0 27 Apr 2025
Effortless, Simulation-Efficient Bayesian Inference using Tabular Foundation Models Julius Vetter Manuel Gloeckler Daniel Gedon Jakob H Macke 117 1 0 24 Apr 2025
ExOSITO: Explainable Off-Policy Learning with Side Information for Intensive Care Unit Blood Test Orders Zongliang Ji Andre Carlos Kajdacsy-Balla Amaral Anna Goldenberg Rahul G. Krishnan OffRL 77 0 0 24 Apr 2025
Likelihood-Free Variational Autoencoders Chen Xu Qiang Wang Lijun Sun DiffM DRL 209 0 0 24 Apr 2025
Statistical Guarantees in Synthetic Data through Conformal Adversarial Generation Rahul Vishwakarma Shrey Dharmendra Modi Vishwanath Seshagiri 290 0 0 23 Apr 2025
Riemannian Neural Geodesic Interpolant Jiawen Wu Bingguang Chen Yuyi Zhou Qi Meng Rongchan Zhu Zhi-Ming Ma 65 0 0 22 Apr 2025
Learning Energy-Based Generative Models via Potential Flow: A Variational Principle Approach to Probability Density Homotopy Matching Junn Yong Loo Michelle Adeline Julia Kaiwen Lau Fang Yu Leong Hwa Hui Tew Arghya Pal Vishnu Monn Baskaran Chee-Ming Ting Raphaël C.-W. Phan BDL 107 0 0 22 Apr 2025
Latent Bayesian Optimization via Autoregressive Normalizing Flows Seunghun Lee Jinyoung Park Jaewon Chu Minseo Yoon H. Kim BDL 92 2 0 21 Apr 2025
Spectral Dictionary Learning for Generative Image Modeling Andrew Kiruluta DiffM 128 1 0 21 Apr 2025
On the minimax optimality of Flow Matching through the connection to kernel density estimation Lea Kunkel Mathias Trabs 85 1 0 17 Apr 2025
Image Editing with Diffusion Models: A Survey Jia Wang Jie Hu Xiaoqi Ma Hanghang Ma Xiaoming Wei Enhua Wu 148 1 0 17 Apr 2025
Voice Conversion with Diverse Intonation using Conditional Variational Auto-Encoder Soobin Suh Dabi Ahn Heewoong Park Jonghun Park BDL DRL 53 0 0 16 Apr 2025
Wavelet-based Variational Autoencoders for High-Resolution Image Generation Andrew Kiruluta DiffM 69 0 0 16 Apr 2025
Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching Aaron J. Havens Benjamin Kurt Miller Bing Yan Carles Domingo-Enrich Anuroop Sriram ... Brandon Amos Brian Karrer Xiang Fu Guan-Horng Liu Ricky T. Q. Chen DiffM 181 3 0 16 Apr 2025
Simulation-based inference for stochastic nonlinear mixed-effects models with applications in systems biology Henrik Häggström Sebastian Persson Marija Cvijovic Umberto Picchini 61 0 0 15 Apr 2025
A real-time anomaly detection method for robots based on a flexible and sparse latent space Taewook Kang Bum-Jae You Juyoun Park Yisoo Lee DRL 114 0 0 15 Apr 2025
An Image is Worth $K$ Topics: A Visual Structural Topic Model with Pretrained Image Embeddings Matías Piqueras Alexandra Segerberg Matteo Magnani Måns Magnusson Nataša Sladoje 106 0 0 14 Apr 2025
Improving the evaluation of samplers on multi-modal targets Louis Grenioux Maxence Noble Marylou Gabrié 454 0 0 11 Apr 2025
Deep Sturm--Liouville: From Sample-Based to 1D Regularization with Learnable Orthogonal Basis Functions David Vigouroux Joseba Dalmau Louis Bethune Victor Boutin 69 0 0 09 Apr 2025
Mechanistic Anomaly Detection for "Quirky" Language Models David Johnston Arkajyoti Chakraborty Nora Belrose 76 0 0 09 Apr 2025
Reconstruction-Free Anomaly Detection with Diffusion Models via Direct Latent Likelihood Evaluation Shunsuke Sakai Tatsuhito Hasegawa 96 0 0 08 Apr 2025
Gaussian Mixture Flow Matching Models Hansheng Chen Kai Zhang Hao Tan Zexiang Xu Fujun Luan Leonidas Guibas Gordon Wetzstein Sai Bi DiffM 147 2 0 07 Apr 2025
Explaining Low Perception Model Competency with High-Competency Counterfactuals Sara Pohland Claire Tomlin DiffM AAML 95 0 0 07 Apr 2025
Noise Augmented Fine Tuning for Mitigating Hallucinations in Large Language Models Afshin Khadangi Amir Sartipi Igor Tchappi Ramin Bahmani 104 1 0 04 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 116 0 0 04 Apr 2025
ORAL: Prompting Your Large-Scale LoRAs via Conditional Recurrent Diffusion Rana Muhammad Shahroz Khan Dongwen Tang Pingzhi Li Kai Wang Tianlong Chen AI4CE 524 1 0 31 Mar 2025
Beyond Academic Benchmarks: Critical Analysis and Best Practices for Visual Industrial Anomaly Detection Aimira Baitieva Yacine Bouaouni Alexandre Briot Dick Ameln Souhaiel Khalfaoui S. Akçay 90 0 0 30 Mar 2025
Multi-Scale Invertible Neural Network for Wide-Range Variable-Rate Learned Image Compression Hanyue Tu Siqi Wu Li Li Wengang Zhou Haoyang Li DRL 72 0 0 27 Mar 2025
A friendly introduction to triangular transport M. Ramgraber Daniel Sharp M. Le Provost Youssef Marzouk 95 0 0 27 Mar 2025
Low Stein Discrepancy via Message-Passing Monte Carlo Nathan Kirk T. Konstantin Rusch Jakob Zech Daniela Rus 67 0 0 27 Mar 2025
Continual learning via probabilistic exchangeable sequence modelling Hanwen Xing Christopher Yau CLL BDL 128 0 0 26 Mar 2025
Debiasing Kernel-Based Generative Models Tian Qin Wei-Min Huang 192 0 0 26 Mar 2025
Risk-Based Thresholding for Reliable Anomaly Detection in Concentrated Solar Power Plants Yorick Estievenart Sukanya Patra Souhaib Ben Taieb 97 0 0 24 Mar 2025
ARFlow: Human Action-Reaction Flow Matching with Physical Guidance Wentao Jiang Jingya Wang Haotao Lu Kaiyang Ji Baoxiong Jia Siyuan Huang 89 0 0 21 Mar 2025
Deeply Supervised Flow-Based Generative Models Inkyu Shin Chenglin Yang Liang-Chieh Chen 93 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 482 0 0 18 Mar 2025