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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
UDE: A Unified Driving Engine for Human Motion Generation Zixiang Zhou Baoyuan Wang DiffM 105 64 0 29 Nov 2022
MAEDAY: MAE for few and zero shot AnomalY-Detection Eli Schwartz Assaf Arbelle Leonid Karlinsky Sivan Harary Florian Scheidegger Sivan Doveh Raja Giryes ViT UQCV 89 36 0 25 Nov 2022
MIAD: A Maintenance Inspection Dataset for Unsupervised Anomaly Detection Tianpeng Bao Jiadong Chen Wei Li Xiang Wang Jingjing Fei Liwei Wu Rui Zhao Ye Zheng 148 22 0 25 Nov 2022
Copula Density Neural Estimation N. A. Letizia Andrea M. Tonello Andrea M. Tonello 94 7 0 25 Nov 2022
CaloMan: Fast generation of calorimeter showers with density estimation on learned manifolds Jesse C. Cresswell Brendan Leigh Ross Gabriel Loaiza-Ganem H. Reyes-González Marco Letizia Anthony L. Caterini 83 38 0 23 Nov 2022
$β$ -Multivariational Autoencoder for Entangled Representation Learning in Video Frames F. Nouri R. Bergevin 58 0 0 22 Nov 2022
U-Flow: A U-shaped Normalizing Flow for Anomaly Detection with Unsupervised Threshold Matías Tailanián Álvaro Pardo Pablo Musé 103 22 0 22 Nov 2022
Clarity: an improved gradient method for producing quality visual counterfactual explanations Claire Theobald Frédéric Pennerath Brieuc Conan-Guez Miguel Couceiro Amedeo Napoli BDL 90 1 0 22 Nov 2022
Moment Propagation J. Ormerod Weichang Yu 88 0 0 21 Nov 2022
Normalizing Flow with Variational Latent Representation Hanze Dong Shizhe Diao Weizhong Zhang Tong Zhang BDL OOD DRL 70 0 0 21 Nov 2022
IC3D: Image-Conditioned 3D Diffusion for Shape Generation Cristian Sbrolli Paolo Cudrano Matteo Frosi Matteo Matteucci DiffM 61 7 0 20 Nov 2022
Diffusion Model Based Posterior Sampling for Noisy Linear Inverse Problems Xiangming Meng Y. Kabashima DiffM 140 54 0 20 Nov 2022
NVDiff: Graph Generation through the Diffusion of Node Vectors Xiaohui Chen Yukun Li Aonan Zhang Liping Liu DiffM 93 23 0 19 Nov 2022
Interpretable Self-Aware Neural Networks for Robust Trajectory Prediction Masha Itkina Mykel J. Kochenderfer EDL UQCV 109 26 0 16 Nov 2022
Normalizing Flows for Hierarchical Bayesian Analysis: A Gravitational Wave Population Study David Ruhe Kaze W. K. Wong M. Cranmer Patrick Forré 63 7 0 15 Nov 2022
Versatile Diffusion: Text, Images and Variations All in One Diffusion Model Xingqian Xu Zhangyang Wang Eric Zhang Kai Wang Humphrey Shi DiffM 186 198 0 15 Nov 2022
An Overview on Controllable Text Generation via Variational Auto-Encoders Haoqin Tu Yitong Li BDL 58 3 0 15 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 116 33 0 14 Nov 2022
Scalable PAC-Bayesian Meta-Learning via the PAC-Optimal Hyper-Posterior: From Theory to Practice Jonas Rothfuss Martin Josifoski Vincent Fortuin Andreas Krause 126 10 0 14 Nov 2022
The Implicit Delta Method Nathan Kallus James McInerney 52 2 0 11 Nov 2022
Deep Learning for Time Series Anomaly Detection: A Survey Zahra Zamanzadeh Darban G. I. Webb Shirui Pan Charu C. Aggarwal Mahsa Salehi AI4TS 84 163 0 09 Nov 2022
TreeFlow: probabilistic programming and automatic differentiation for phylogenetics Christiaan J. Swanepoel Mathieu Fourment Xiang Ji Hassan Nasif M. Suchard IV FrederickAMatsen A. Drummond AI4CE 36 3 0 09 Nov 2022
Semi-Equivariant Continuous Normalizing Flows for Target-Aware Molecule Generation Eyal Rozenberg Daniel Freedman 76 0 0 09 Nov 2022
Generalized Product-of-Experts for Learning Multimodal Representations in Noisy Environments Abhinav Joshi Naman K. Gupta Jinang Shah Binod Bhattarai Ashutosh Modi Danail Stoyanov OffRL 64 2 0 07 Nov 2022
Learning Riemannian Stable Dynamical Systems via Diffeomorphisms Jiechao Zhang Hadi Beik-Mohammadi Leonel Rozo 68 15 0 06 Nov 2022
Grassmann Manifold Flows for Stable Shape Generation Ryoma Yataka Kazuki Hirashima Masashi Shiraishi 96 1 0 05 Nov 2022
Improved Analysis of Score-based Generative Modeling: User-Friendly Bounds under Minimal Smoothness Assumptions Hongrui Chen Holden Lee Jianfeng Lu DiffM 89 142 0 03 Nov 2022
An optimal control perspective on diffusion-based generative modeling Julius Berner Lorenz Richter Karen Ullrich DiffM 154 97 0 02 Nov 2022
Quantized Compressed Sensing with Score-based Generative Models Xiangming Meng Y. Kabashima DiffM 109 12 0 02 Nov 2022
Concrete Score Matching: Generalized Score Matching for Discrete Data Chenlin Meng Kristy Choi Jiaming Song Stefano Ermon DiffM 262 71 0 02 Nov 2022
A robust estimator of mutual information for deep learning interpretability Davide Piras H. Peiris A. Pontzen Luisa Lucie-Smith Ningyuan Guo Brian D. Nord SSL DRL 93 17 0 31 Oct 2022
Lightweight and High-Fidelity End-to-End Text-to-Speech with Multi-Band Generation and Inverse Short-Time Fourier Transform Masaya Kawamura Yuma Shirahata Ryuichi Yamamoto Kentaro Tachibana 99 17 0 28 Oct 2022
Period VITS: Variational Inference with Explicit Pitch Modeling for End-to-end Emotional Speech Synthesis Yuma Shirahata Ryuichi Yamamoto Eunwoo Song Ryo Terashima Jae-Min Kim Kentaro Tachibana 86 11 0 28 Oct 2022
Deep Generative Models on 3D Representations: A Survey Zifan Shi Sida Peng Yinghao Xu Andreas Geiger Yiyi Liao Yujun Shen MedIm 3DV 102 0 0 27 Oct 2022
Diffiner: A Versatile Diffusion-based Generative Refiner for Speech Enhancement Ryosuke Sawata Naoki Murata Yuhta Takida Toshimitsu Uesaka Takashi Shibuya Shusuke Takahashi Yuki Mitsufuji DiffM 89 17 0 27 Oct 2022
Learning Deep Robotic Skills on Riemannian manifolds Weitao Wang Matteo Saveriano Fares J. Abu-Dakka 58 10 0 27 Oct 2022
Compressed Sensing MRI Reconstruction Regularized by VAEs with Structured Image Covariance Margaret Duff Ivor J. A. Simpson Matthias Joachim Ehrhardt Neill D. F. Campbell DiffM MedIm 49 5 0 26 Oct 2022
$Adaptive deep density approximation for fractional Fokker-Planck equations$ Adaptive deep density approximation for fractional Fokker-Planck equations Li Zeng Xiaoliang Wan Tao Zhou 68 5 0 26 Oct 2022
CaloFlow for CaloChallenge Dataset 1 Claudius Krause Ian Pang David Shih AI4CE 99 23 0 25 Oct 2022
Optimization for Amortized Inverse Problems Tianci Liu Tong Yang Quan Zhang Qi Lei 93 6 0 25 Oct 2022
A Survey on Artificial Intelligence for Music Generation: Agents, Domains and Perspectives Carlos Hernandez-Olivan Javier Hernandez-Olivan J. R. Beltrán MGen 98 7 0 25 Oct 2022
Atlas flow : compatible local structures on the manifold Taejin Paik Jaemin Park J. Park 73 0 0 24 Oct 2022
Boomerang: Local sampling on image manifolds using diffusion models Lorenzo Luzi P. Mayer Josue Casco-Rodriguez Ali Siahkoohi Richard G. Baraniuk DiffM 108 20 0 21 Oct 2022
Bayesian deep learning framework for uncertainty quantification in high dimensions Jeahan Jung Minseok Choi BDL UQCV 58 1 0 21 Oct 2022
Autoregressive Generative Modeling with Noise Conditional Maximum Likelihood Estimation Henry Li Y. Kluger 57 2 0 19 Oct 2022
Transport Elliptical Slice Sampling A. Cabezas Christopher Nemeth 74 10 0 19 Oct 2022
Optimizing Hierarchical Image VAEs for Sample Quality Eric Luhman Troy Luhman DRL 77 5 0 18 Oct 2022
Generative models uncertainty estimation Lucio Anderlini Constantine Chimpoesh N. Kazeev Agata Shishigina 30 4 0 18 Oct 2022
Break The Spell Of Total Correlation In betaTCVAE Zihao Chen Qiang Li Bing Guo CML DRL 64 1 0 17 Oct 2022
Improving the Intra-class Long-tail in 3D Detection via Rare Example Mining C. Jiang Mahyar Najibi C. Qi Yin Zhou Drago Anguelov 130 21 0 15 Oct 2022