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Variational Inference with Normalizing Flows

21 May 2015

Danilo Jimenez Rezende

Papers citing "Variational Inference with Normalizing Flows"

50 / 2,268 papers shown

Title
Data-driven Modeling and Inference for Bayesian Gaussian Process ODEs via Double Normalizing Flows Jian Xu Shian Du Junmei Yang Xinghao Ding John Paisley Delu Zeng 70 0 0 17 Sep 2023
Total Variation Distance Meets Probabilistic Inference Arnab Bhattacharyya Sutanu Gayen Kuldeep S. Meel Dimitrios Myrisiotis A. Pavan N. V. Vinodchandran 30 4 0 17 Sep 2023
Catch You Everything Everywhere: Guarding Textual Inversion via Concept Watermarking Weitao Feng Jiyan He Jie Zhang Tianwei Zhang Wenbo Zhou Weiming Zhang Neng H. Yu WIGM 78 10 0 12 Sep 2023
Variations and Relaxations of Normalizing Flows Keegan Kelly Lorena Piedras Sukrit Rao David Samuel Roth BDL 79 1 0 08 Sep 2023
Amortised Inference in Bayesian Neural Networks Tommy Rochussen UQCV BDL 73 0 0 06 Sep 2023
MA-VAE: Multi-head Attention-based Variational Autoencoder Approach for Anomaly Detection in Multivariate Time-series Applied to Automotive Endurance Powertrain Testing Lucas Correia Jan-Christoph Goos Philipp Klein Thomas Bäck Anna V. Kononova 15 1 0 05 Sep 2023
Advances in machine-learning-based sampling motivated by lattice quantum chromodynamics Kyle Cranmer G. Kanwar S. Racanière Danilo Jimenez Rezende P. Shanahan AI4CE 96 26 0 03 Sep 2023
Distribution learning via neural differential equations: a nonparametric statistical perspective Youssef Marzouk Zhi Ren Sven Wang Jakob Zech 92 12 0 03 Sep 2023
Diffusion Models with Deterministic Normalizing Flow Priors Mohsen Zand Ali Etemad Michael A. Greenspan DiffM 161 3 0 03 Sep 2023
BuilDiff: 3D Building Shape Generation using Single-Image Conditional Point Cloud Diffusion Models Yao Wei G. Vosselman Michael Ying Yang DiffM 54 9 0 31 Aug 2023
InterDiff: Generating 3D Human-Object Interactions with Physics-Informed Diffusion Sirui Xu Zhengyu Li Yu Wang Liangyan Gui DiffM 129 127 0 31 Aug 2023
Computing excited states of molecules using normalizing flows Yahya Saleh Álvaro Fernández Corral Emil Vogt Armin Iske J. Küpper A. Yachmenev 108 7 0 31 Aug 2023
RetroBridge: Modeling Retrosynthesis with Markov Bridges Ilia Igashov Arne Schneuing Marwin H. S. Segler Michael M. Bronstein B. Correia 113 16 0 30 Aug 2023
Mixed Variational Flows for Discrete Variables Gian Carlo Diluvi Benjamin Bloem-Reddy Trevor Campbell 88 2 0 29 Aug 2023
MSFlow: Multi-Scale Flow-based Framework for Unsupervised Anomaly Detection Yixuan Zhou Xing Xu Jingkuan Song Fumin Shen Hengtao Shen AI4CE 116 22 0 29 Aug 2023
Reinforcement Learning for Generative AI: A Survey Yuanjiang Cao Quan.Z Sheng Julian McAuley Lina Yao SyDa 202 13 0 28 Aug 2023
AI-Generated Content (AIGC) for Various Data Modalities: A Survey Lin Geng Foo Hossein Rahmani Jing Liu 278 31 0 27 Aug 2023
Rethinking Exemplars for Continual Semantic Segmentation in Endoscopy Scenes: Entropy-based Mini-Batch Pseudo-Replay Guan-Feng Wang Long Bai Yanan Wu Tong Chen Hongliang Ren CLL 86 19 0 27 Aug 2023
Sampling with flows, diffusion and autoregressive neural networks: A spin-glass perspective Davide Ghio Yatin Dandi Florent Krzakala Lenka Zdeborová DiffM 69 29 0 27 Aug 2023
Arbitrary Distributions Mapping via SyMOT-Flow: A Flow-based Approach Integrating Maximum Mean Discrepancy and Optimal Transport Zhe Xiong Qiaoqiao Ding Xiaoqun Zhang OOD 97 0 0 26 Aug 2023
Out-of-distribution detection using normalizing flows on the data manifold S. Razavi M. Mehmanchi Reshad Hosseini Mostafa Tavassolipour OODD 131 0 0 26 Aug 2023
Learning variational autoencoders via MCMC speed measures Marcel Hirt Vasileios Kreouzis P. Dellaportas BDL DRL 55 2 0 26 Aug 2023
Efficient Epistemic Uncertainty Estimation in Regression Ensemble Models Using Pairwise-Distance Estimators Lucas Berry David Meger UD 84 2 0 25 Aug 2023
Bayesian Exploration Networks Matt Fellows Brandon Kaplowitz Christian Schroeder de Witt Shimon Whiteson BDL 92 4 0 24 Aug 2023
Generalizable Zero-Shot Speaker Adaptive Speech Synthesis with Disentangled Representations Wen Wang Yang Song S. Jha 81 8 0 24 Aug 2023
Calorimeter shower superresolution Ian Pang J. A. Raine David Shih DiffM 77 8 0 22 Aug 2023
TrackFlow: Multi-Object Tracking with Normalizing Flows Gianluca Mancusi Aniello Panariello Angelo Porrello Matteo Fabbri Simone Calderara Rita Cucchiara VOT 59 14 0 22 Aug 2023
Faster Training of Neural ODEs Using Gauß-Legendre Quadrature Alexander Norcliffe M. Deisenroth 58 3 0 21 Aug 2023
Multi-GradSpeech: Towards Diffusion-based Multi-Speaker Text-to-speech Using Consistent Diffusion Models Heyang Xue Shuai Guo Pengcheng Zhu Mengxiao Bi DiffM 83 1 0 21 Aug 2023
Deep Generative Modeling-based Data Augmentation with Demonstration using the BFBT Benchmark Void Fraction Datasets Farah Alsafadi Xuehui Wu 85 3 0 19 Aug 2023
Semi-Implicit Variational Inference via Score Matching Longlin Yu Chuxu Zhang 82 17 0 19 Aug 2023
Diffusion Models for Image Restoration and Enhancement -- A Comprehensive Survey Xin Li Yulin Ren Xin Jin Cuiling Lan Xingyu Wang Wenjun Zeng Xinchao Wang Zhibo Chen 108 88 0 18 Aug 2023
Discretization-Induced Dirichlet Posterior for Robust Uncertainty Quantification on Regression Xuanlong Yu Gianni Franchi Jindong Gu Emanuel Aldea UQCV 66 5 0 17 Aug 2023
Fast Inference and Update of Probabilistic Density Estimation on Trajectory Prediction Takahiro Maeda Norimichi Ukita 95 30 0 17 Aug 2023
Order-based Structure Learning with Normalizing Flows Hamidreza Kamkari Vahid Balazadeh Meresht Vahid Zehtab Rahul G. Krishnan CML 96 3 0 14 Aug 2023
Bayesian Flow Networks Alex Graves R. Srivastava Timothy James Atkinson Faustino J. Gomez BDL 134 45 0 14 Aug 2023
Approximating Human-Like Few-shot Learning with GPT-based Compression C.-Y. Huang Yuqing Xie Zhiying Jiang Jimmy J. Lin Ming Li 58 9 0 14 Aug 2023
Audio is all in one: speech-driven gesture synthetics using WavLM pre-trained model Fan Zhang Naye Ji Fuxing Gao Siyuan Zhao Zhaohan Wang Shunman Li 59 0 0 11 Aug 2023
VAST: Vivify Your Talking Avatar via Zero-Shot Expressive Facial Style Transfer Liyang Chen Zhiyong Wu Runnan Li Weihong Bao Jun Ling Xuejiao Tan Sheng Zhao 67 5 0 09 Aug 2023
PSRFlow: Probabilistic Super Resolution with Flow-Based Models for Scientific Data Jingyi Shen Hang Shen 82 5 0 08 Aug 2023
DiffCR: A Fast Conditional Diffusion Framework for Cloud Removal from Optical Satellite Images Xuechao Zou Keqin Li Junliang Xing Yu-an Zhang Shiying Wang Lei Jin Pin Tao DiffM 92 34 0 08 Aug 2023
A Review of Change of Variable Formulas for Generative Modeling Ullrich Kothe 72 8 0 04 Aug 2023
DiffColor: Toward High Fidelity Text-Guided Image Colorization with Diffusion Models Jianxin Lin Peng Xiao Yijun Wang Rongsheng Zhang Xiangxiang Zeng DiffM 72 3 0 03 Aug 2023
Adversarial Training of Denoising Diffusion Model Using Dual Discriminators for High-Fidelity Multi-Speaker TTS Myeongji Ko Yong-Hoon Choi DiffM 72 1 0 03 Aug 2023
Patch-wise Auto-Encoder for Visual Anomaly Detection Yajie Cui Zhaoxiang Liu Kai Wang UQCV ViT 40 0 0 01 Aug 2023
Image Synthesis under Limited Data: A Survey and Taxonomy Mengping Yang Zhe Wang 93 10 0 31 Jul 2023
Investigating and Improving Latent Density Segmentation Models for Aleatoric Uncertainty Quantification in Medical Imaging M. Valiuddin Christiaan Viviers R. V. Sloun Peter H. N. de With Fons van der Sommen UQCV 102 2 0 31 Jul 2023
Deep Generative Models, Synthetic Tabular Data, and Differential Privacy: An Overview and Synthesis Conor Hassan Roberto Salomone Kerrie Mengersen 81 6 0 28 Jul 2023
InVAErt networks: a data-driven framework for model synthesis and identifiability analysis Guoxiang Grayson Tong Carlos A. Sing Long Daniele E. Schiavazzi 61 7 0 24 Jul 2023
Human Motion Generation: A Survey Wentao Zhu Xiaoxuan Ma Dongwoo Ro Hai Ci Jinlu Zhang Jiaxin Shi Feng Gao Qi Tian Yizhou Wang VGen 152 60 0 20 Jul 2023