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Variational Inference with Normalizing Flows

21 May 2015

Danilo Jimenez Rezende

Papers citing "Variational Inference with Normalizing Flows"

50 / 2,269 papers shown

Title
Rigid Body Flows for Sampling Molecular Crystal Structures Jonas Köhler Michele Invernizzi P. D. Haan Frank Noé AI4CE 127 29 0 26 Jan 2023
normflows: A PyTorch Package for Normalizing Flows Vincent Stimper David Liu Andrew Campbell V. Berenz Lukas Ryll Bernhard Schölkopf José Miguel Hernández-Lobato AI4CE 92 64 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 73 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 73 2 0 23 Jan 2023
Counterfactual (Non-)identifiability of Learned Structural Causal Models Arash Nasr-Esfahany Emre Kıcıman 79 12 0 22 Jan 2023
Spatial Attention Kinetic Networks with E(n)-Equivariance Yuanqing Wang J. Chodera 82 17 0 21 Jan 2023
Regeneration Learning: A Learning Paradigm for Data Generation Xu Tan Tao Qin Jiang Bian Tie-Yan Liu Yoshua Bengio GAN 64 15 0 21 Jan 2023
The stochastic digital human is now enrolling for in silico imaging trials -- Methods and tools for generating digital cohorts Aldo Badano Miguel Lago E. Sizikova JG Delfino S. Guan M. Anastasio B. Sahiner 74 11 0 20 Jan 2023
Learning Interpolations between Boltzmann Densities Bálint Máté Franccois Fleuret 137 29 0 18 Jan 2023
Msanii: High Fidelity Music Synthesis on a Shoestring Budget Kinyugo Maina 85 7 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 103 4 0 13 Jan 2023
Designing losses for data-free training of normalizing flows on Boltzmann distributions Loris Felardos Jérôme Hénin Guillaume Charpiat AI4CE 88 9 0 13 Jan 2023
Neural Spline Search for Quantile Probabilistic Modeling Ruoxi Sun Chun-Liang Li Sercan O. Arik Michael W. Dusenberry Chen-Yu Lee Tomas Pfister AI4TS 83 5 0 12 Jan 2023
Image Denoising: The Deep Learning Revolution and Beyond -- A Survey Paper -- Michael Elad Bahjat Kawar Gregory Vaksman 100 82 0 09 Jan 2023
Deep Injective Prior for Inverse Scattering AmirEhsan Khorashadizadeh Vahid Khorashadi-Zadeh Sepehr Eskandari Guy A. E. Vandenbosch Ivan Dokmanić 82 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 108 23 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 262 165 0 28 Dec 2022
Unsupervised Representation Learning from Pre-trained Diffusion Probabilistic Models Zijian Zhang Zhou Zhao Zhijie Lin DiffM 145 56 0 26 Dec 2022
Out-of-Distribution Detection with Reconstruction Error and Typicality-based Penalty Genki Osada Tsubasa Takahashi Budrul Ahsan Takashi Nishide OODD 98 14 0 24 Dec 2022
A-NeSI: A Scalable Approximate Method for Probabilistic Neurosymbolic Inference Emile van Krieken Thiviyan Thanapalasingam Jakub M. Tomczak F. V. Harmelen A. T. Teije 99 40 0 23 Dec 2022
Do DALL-E and Flamingo Understand Each Other? Hang Li Jindong Gu Rajat Koner Sahand Sharifzadeh Volker Tresp MLLM 82 12 0 23 Dec 2022
StoRM: A Diffusion-based Stochastic Regeneration Model for Speech Enhancement and Dereverberation Jean-Marie Lemercier Julius Richter Simon Welker Timo Gerkmann DiffM 257 92 0 22 Dec 2022
A Mathematical Framework for Learning Probability Distributions Hongkang Yang 113 7 0 22 Dec 2022
Continual Learning Approaches for Anomaly Detection Davide Dalle Pezze Eugenia Anello Chiara Masiero Gian Antonio Susto 77 6 0 21 Dec 2022
Low-Light Image and Video Enhancement: A Comprehensive Survey and Beyond Shen Zheng Yi Ma Jinqian Pan Chang-Tien Lu Gaurav Gupta 119 23 0 21 Dec 2022
FunkNN: Neural Interpolation for Functional Generation AmirEhsan Khorashadizadeh Anadi Chaman Valentin Debarnot Ivan Dokmanić 74 8 0 20 Dec 2022
StyleFlow: Disentangle Latent Representations via Normalizing Flow for Unsupervised Text Style Transfer Kangchen Zhu Zhiliang Tian Ruifeng Luo Xiaoguang Mao OOD 107 3 0 19 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 83 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 Lin Yang Zhang Shiyu Chang DiffM CoGe 91 104 0 16 Dec 2022
Text-to-speech synthesis based on latent variable conversion using diffusion probabilistic model and variational autoencoder Yusuke Yasuda Tomoki Toda DiffM 79 8 0 16 Dec 2022
Generative structured normalizing flow Gaussian processes applied to spectroscopic data Natalie Klein N. Panda P. Gasda Diane Oyen 25 1 0 14 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 73 78 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 87 14 0 14 Dec 2022
Image Compression with Product Quantized Masked Image Modeling Alaaeldin El-Nouby Matthew Muckley Karen Ullrich Ivan Laptev Jakob Verbeek Hervé Jégou MQ 82 31 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 75 1 0 14 Dec 2022
RGBD2: Generative Scene Synthesis via Incremental View Inpainting using RGBD Diffusion Models Jiabao Lei Jiapeng Tang Kui Jia DiffM 91 38 0 12 Dec 2022
On the Robustness of Normalizing Flows for Inverse Problems in Imaging Seongmin Hong I. Park S. Chun 110 7 0 08 Dec 2022
Deep Variational Inverse Scattering AmirEhsan Khorashadizadeh A. Aghababaei Tin Vlavsić Hieu Nguyen Ivan Dokmanić BDL UQCV 78 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 118 57 0 07 Dec 2022
Diffusion-SDF: Text-to-Shape via Voxelized Diffusion Muheng Li Yueqi Duan Jie Zhou Jiwen Lu DiffM 93 125 0 06 Dec 2022
Learning Sampling Distributions for Model Predictive Control Jacob Sacks Byron Boots 64 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 110 15 0 05 Dec 2022
Accelerating Inverse Learning via Intelligent Localization with Exploratory Sampling Jiaxin Zhang Sirui Bi Victor Fung 79 3 0 02 Dec 2022
High-dimensional density estimation with tensorizing flow Yinuo Ren Hongli Zhao Y. Khoo Lexing Ying 66 9 0 01 Dec 2022
Variational Laplace Autoencoders Yookoon Park C. Kim Gunhee Kim BDL DRL 62 22 0 30 Nov 2022
Proximal Residual Flows for Bayesian Inverse Problems J. Hertrich BDL TPM 81 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 83 72 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 105 20 0 30 Nov 2022
Stochastic Parameterization of Column Physics using Generative Adversarial Networks Balasubramanya T. Nadiga Xiaoming Sun Cody Nash GAN 51 8 0 30 Nov 2022
Taming Normalizing Flows Shimon Malnick S. Avidan Ohad Fried TPM DiffM 112 1 0 29 Nov 2022