Variational Inference with Normalizing Flows

21 May 2015

Danilo Jimenez Rezende

Papers citing "Variational Inference with Normalizing Flows"

50 / 911 papers shown

Title
Fully Bayesian Autoencoders with Latent Sparse Gaussian Processes Ba-Hien Tran Babak Shahbaba Stephan Mandt Maurizio Filippone SyDa BDL UQCV 28 5 0 09 Feb 2023
Diverse Probabilistic Trajectory Forecasting with Admissibility Constraints Laura Calem H. Ben-younes P. Pérez Nicolas Thome 38 3 0 07 Feb 2023
Sampling-Based Accuracy Testing of Posterior Estimators for General Inference Pablo Lemos A. Coogan Y. Hezaveh Laurence Perreault Levasseur 42 30 0 06 Feb 2023
Identifiability of latent-variable and structural-equation models: from linear to nonlinear Aapo Hyvarinen Ilyes Khemakhem R. Monti CML 50 41 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 23 3 0 03 Feb 2023
QCM-SGM+: Improved Quantized Compressed Sensing With Score-Based Generative Models Xiangming Meng Y. Kabashima 45 1 0 02 Feb 2023
CHeart: A Conditional Spatio-Temporal Generative Model for Cardiac Anatomy Mengyun Qiao Shuo Wang Huaqi Qiu A. de Marvao D. O’Regan Daniel Rueckert Wenjia Bai MedIm 26 14 0 30 Jan 2023
Minimizing Trajectory Curvature of ODE-based Generative Models Sangyun Lee Beomsu Kim Jong Chul Ye 46 53 0 27 Jan 2023
Learning to Generate All Feasible Actions Mirco Theile Daniele Bernardini Raphael Trumpp C. Piazza Marco Caccamo Alberto L. Sangiovanni-Vincentelli 29 2 0 26 Jan 2023
3DShape2VecSet: A 3D Shape Representation for Neural Fields and Generative Diffusion Models Biao Zhang Jiapeng Tang Matthias Niessner Peter Wonka DiffM 46 198 0 26 Jan 2023
Rigid Body Flows for Sampling Molecular Crystal Structures Jonas Köhler Michele Invernizzi P. D. Haan Frank Noé AI4CE 44 27 0 26 Jan 2023
A Tale of Two Latent Flows: Learning Latent Space Normalizing Flow with Short-run Langevin Flow for Approximate Inference Jianwen Xie Y. Zhu Yifei Xu Dingcheng Li Ping Li BDL DRL 24 7 0 23 Jan 2023
$FInC Flow: Fast and Invertible $k \times k$ Convolutions for Normalizing Flows$ FInC Flow: Fast and Invertible $k \times k$ Convolutions for Normalizing Flows Aditya Kallappa Sandeep Nagar Girish Varma 27 2 0 23 Jan 2023
Msanii: High Fidelity Music Synthesis on a Shoestring Budget Kinyugo Maina 32 5 0 16 Jan 2023
Laser: Latent Set Representations for 3D Generative Modeling Pol Moreno Adam R. Kosiorek Heiko Strathmann Daniel Zoran Rosália G. Schneider Bjorn Winckler L. Markeeva T. Weber Danilo Jimenez Rezende BDL 3DV DRL 38 4 0 13 Jan 2023
Neural Spline Search for Quantile Probabilistic Modeling Ruoxi Sun Chun-Liang Li Sercan Ö. Arik Michael W. Dusenberry Chen-Yu Lee Tomas Pfister AI4TS 42 5 0 12 Jan 2023
Deep Injective Prior for Inverse Scattering AmirEhsan Khorashadizadeh Vahid Khorashadi-Zadeh Sepehr Eskandari Guy A. E. Vandenbosch Ivan Dokmanić 21 7 0 08 Jan 2023
ResGrad: Residual Denoising Diffusion Probabilistic Models for Text to Speech Ze Chen Yihan Wu Yichong Leng Jiawei Chen Haohe Liu ... Ke Wang Lei He Sheng Zhao Jiang Bian Danilo Mandic DiffM 37 22 0 30 Dec 2022
Dream3D: Zero-Shot Text-to-3D Synthesis Using 3D Shape Prior and Text-to-Image Diffusion Models Jiale Xu Xintao Wang Weihao Cheng Yan-Pei Cao Ying Shan Xiaohu Qie Shenghua Gao 188 161 0 28 Dec 2022
Unsupervised Representation Learning from Pre-trained Diffusion Probabilistic Models Zijian Zhang Zhou Zhao Zhijie Lin DiffM 35 52 0 26 Dec 2022
A Mathematical Framework for Learning Probability Distributions Hongkang Yang 31 7 0 22 Dec 2022
Low-Light Image and Video Enhancement: A Comprehensive Survey and Beyond Shen Zheng Yi Ma Jinqian Pan Chang-Tien Lu Gaurav Gupta 34 21 0 21 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 34 5 0 16 Dec 2022
Uncovering the Disentanglement Capability in Text-to-Image Diffusion Models Qiucheng Wu Yujian Liu Handong Zhao Ajinkya Kale T. Bui Tong Yu Zhe-nan Lin Yang Zhang Shiyu Chang DiffM CoGe 30 98 0 16 Dec 2022
Machine Learning Coarse-Grained Potentials of Protein Thermodynamics Maciej Majewski Adriana Pérez Philipp Thölke Stefan Doerr N. Charron T. Giorgino B. Husic C. Clementi Frank Noé Gianni De Fabritiis AI4CE 30 70 0 14 Dec 2022
Simulating 2+1D Lattice Quantum Electrodynamics at Finite Density with Neural Flow Wavefunctions Zhuo Chen Di Luo Kaiwen Hu B. Clark 27 14 0 14 Dec 2022
Learning and Predicting Multimodal Vehicle Action Distributions in a Unified Probabilistic Model Without Labels Charles Richter Patrick R. Barragán S. Karaman SSL 12 1 0 14 Dec 2022
RGBD2: Generative Scene Synthesis via Incremental View Inpainting using RGBD Diffusion Models Jiabao Lei Jiapeng Tang Kui Jia DiffM 32 38 0 12 Dec 2022
On the Robustness of Normalizing Flows for Inverse Problems in Imaging Seongmin Hong I. Park S. Chun 43 7 0 08 Dec 2022
Deep Variational Inverse Scattering AmirEhsan Khorashadizadeh A. Aghababaei Tin Vlavsić Hieu Nguyen Ivan Dokmanić BDL UQCV 35 3 0 08 Dec 2022
FineDance: A Fine-grained Choreography Dataset for 3D Full Body Dance Generation Ronghui Li Junfan Zhao Yachao Zhang Mingyang Su Zeping Ren Han Zhang Yansong Tang Xiuhua Li DiffM 30 51 0 07 Dec 2022
Diffusion-SDF: Text-to-Shape via Voxelized Diffusion Muheng Li Yueqi Duan Jie Zhou Jiwen Lu DiffM 42 121 0 06 Dec 2022
Learning Sampling Distributions for Model Predictive Control Jacob Sacks Byron Boots 13 21 0 05 Dec 2022
Fine-grained Image Editing by Pixel-wise Guidance Using Diffusion Models Naoki Matsunaga Masato Ishii Akio Hayakawa Kenji Suzuki T. Narihira DiffM 52 13 0 05 Dec 2022
Accelerating Inverse Learning via Intelligent Localization with Exploratory Sampling Jiaxin Zhang Sirui Bi Victor Fung 35 3 0 02 Dec 2022
Variational Laplace Autoencoders Yookoon Park C. Kim Gunhee Kim BDL DRL 26 21 0 30 Nov 2022
Proximal Residual Flows for Bayesian Inverse Problems J. Hertrich BDL TPM 41 4 0 30 Nov 2022
Data-driven Science and Machine Learning Methods in Laser-Plasma Physics Andreas Döpp C. Eberle S. Howard F. Irshad Jinpu Lin M. Streeter AI4CE 32 63 0 30 Nov 2022
Taming Hyperparameter Tuning in Continuous Normalizing Flows Using the JKO Scheme Alexander Vidal Samy Wu Fung Luis Tenorio Stanley Osher L. Nurbekyan 35 15 0 30 Nov 2022
Stochastic Parameterization of Column Physics using Generative Adversarial Networks B. Nadiga Xiaoming Sun Cody Nash GAN 16 8 0 30 Nov 2022
Taming Normalizing Flows Shimon Malnick S. Avidan Ohad Fried TPM DiffM 29 1 0 29 Nov 2022
UDE: A Unified Driving Engine for Human Motion Generation Zixiang Zhou Baoyuan Wang DiffM 36 60 0 29 Nov 2022
Copula Density Neural Estimation N. A. Letizia Andrea M. Tonello 18 7 0 25 Nov 2022
CaloMan: Fast generation of calorimeter showers with density estimation on learned manifolds Jesse C. Cresswell Brendan Leigh Ross G. Loaiza-Ganem H. Reyes-González Marco Letizia Anthony L. Caterini 24 36 0 23 Nov 2022
$β$ -Multivariational Autoencoder for Entangled Representation Learning in Video Frames F. Nouri R. Bergevin 21 0 0 22 Nov 2022
U-Flow: A U-shaped Normalizing Flow for Anomaly Detection with Unsupervised Threshold Matías Tailanián Álvaro Pardo Pablo Musé 30 18 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 41 0 0 22 Nov 2022
Normalizing Flow with Variational Latent Representation Hanze Dong Shizhe Diao Weizhong Zhang Tong Zhang BDL OOD DRL 13 0 0 21 Nov 2022
Diffusion Model Based Posterior Sampling for Noisy Linear Inverse Problems Xiangming Meng Y. Kabashima DiffM 25 52 0 20 Nov 2022
NVDiff: Graph Generation through the Diffusion of Node Vectors Xiaohui Chen Yukun Li Aonan Zhang Liping Liu DiffM 28 21 0 19 Nov 2022