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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
Individual Survival Curves with Conditional Normalizing Flows Guillaume Ausset Tom Ciffreo François Portier Stéphan Clémenccon Timothée Papin 55 4 0 27 Jul 2021
High-Dimensional Distribution Generation Through Deep Neural Networks Dmytro Perekrestenko Léandre Eberhard Helmut Bölcskei OOD 84 6 0 26 Jul 2021
Discrete Denoising Flows Alexandra Lindt Emiel Hoogeboom BDL DRL 73 3 0 24 Jul 2021
Model-based micro-data reinforcement learning: what are the crucial model properties and which model to choose? Balázs Kégl Gabriel Hurtado Albert Thomas 76 12 0 24 Jul 2021
Human Pose Regression with Residual Log-likelihood Estimation Jiefeng Li Siyuan Bian Ailing Zeng Can Wang Bo Pang Wentao Liu Cewu Lu 94 200 0 23 Jul 2021
Efficient Neural Causal Discovery without Acyclicity Constraints Phillip Lippe Taco S. Cohen E. Gavves CML 109 72 0 22 Jul 2021
Data synthesis and adversarial networks: A review and meta-analysis in cancer imaging Richard Osuala Kaisar Kushibar Lidia Garrucho Akis Linardos Zuzanna Szafranowska Stefan Klein Ben Glocker Oliver Díaz Karim Lekadir MedIm 104 45 0 20 Jul 2021
ByPE-VAE: Bayesian Pseudocoresets Exemplar VAE Qingzhong Ai Lirong He Shiyu Liu Zenglin Xu BDL 35 3 0 20 Jul 2021
Structured Stochastic Gradient MCMC Antonios Alexos Alex Boyd Stephan Mandt BDL 76 13 0 19 Jul 2021
Efficient Bayesian Sampling Using Normalizing Flows to Assist Markov Chain Monte Carlo Methods Marylou Gabrié Grant M. Rotskoff Eric Vanden-Eijnden 52 21 0 16 Jul 2021
Shifts: A Dataset of Real Distributional Shift Across Multiple Large-Scale Tasks A. Malinin Neil Band Ganshin Alexander German Chesnokov ... Roginskiy Denis Mariya Shmatova Panos Tigas Boris Yangel UQCV OOD 128 132 0 15 Jul 2021
PU-Flow: a Point Cloud Upsampling Network with Normalizing Flows Aihua Mao Zihui Du Junhui Hou Yaqi Duan Yong Liu Ying He 3DPC 99 37 0 13 Jul 2021
Generalization of the Change of Variables Formula with Applications to Residual Flows Niklas Koenen Marvin N. Wright Peter Maass Jens Behrmann 59 2 0 09 Jul 2021
Structured Hammerstein-Wiener Model Learning for Model Predictive Control R. Moriyasu Taro Ikeda S. Kawaguchi Kenji Kashima 43 9 0 09 Jul 2021
Deep Image Synthesis from Intuitive User Input: A Review and Perspectives Yuan Xue Yuanchen Guo Han Zhang Tao Xu Song-Hai Zhang Xiaolei Huang EGVM 3DV 74 22 0 09 Jul 2021
MCMC Variational Inference via Uncorrected Hamiltonian Annealing Tomas Geffner Justin Domke 95 36 0 08 Jul 2021
A Survey of Uncertainty in Deep Neural Networks J. Gawlikowski Cedrique Rovile Njieutcheu Tassi Mohsin Ali Jongseo Lee Matthias Humt ... R. Roscher Muhammad Shahzad Wen Yang R. Bamler Xiaoxiang Zhu BDL UQCV OOD 242 1,178 0 07 Jul 2021
SimCC: a Simple Coordinate Classification Perspective for Human Pose Estimation Yanjie Li Sen Yang Peidong Liu Shoukui Zhang Yunxiao Wang Zhicheng Wang Wankou Yang Shutao Xia 3DH 93 132 0 07 Jul 2021
Structured Denoising Diffusion Models in Discrete State-Spaces Jacob Austin Daniel D. Johnson Jonathan Ho Daniel Tarlow Rianne van den Berg DiffM 288 952 0 07 Jul 2021
Universal Approximation for Log-concave Distributions using Well-conditioned Normalizing Flows Holden Lee Chirag Pabbaraju A. Sevekari Andrej Risteski 74 8 0 07 Jul 2021
Solution of Physics-based Bayesian Inverse Problems with Deep Generative Priors Dhruv V. Patel Deep Ray Assad A. Oberai AI4CE 79 43 0 06 Jul 2021
New Methods and Datasets for Group Anomaly Detection From Fundamental Physics Gregor Kasieczka Benjamin Nachman David Shih OOD 51 14 0 06 Jul 2021
iPOKE: Poking a Still Image for Controlled Stochastic Video Synthesis A. Blattmann Timo Milbich Michael Dorkenwald Bjorn Ommer DiffM VGen 73 42 0 06 Jul 2021
Energy Consumption of Deep Generative Audio Models Constance Douwes P. Esling Jean-Pierre Briot MedIm 75 13 0 06 Jul 2021
Viscos Flows: Variational Schur Conditional Sampling With Normalizing Flows Vincent Moens Aivar Sootla H. Ammar Jun Wang TPM 80 1 0 06 Jul 2021
Meta-learning Amidst Heterogeneity and Ambiguity Kyeongryeol Go Seyoung Yun 93 1 0 05 Jul 2021
Featurized Density Ratio Estimation Kristy Choi Madeline Liao Stefano Ermon TPM 72 24 0 05 Jul 2021
Learning ODEs via Diffeomorphisms for Fast and Robust Integration Weiming Zhi Tin Lai Lionel Ott Edwin V. Bonilla Fabio Ramos OOD 42 4 0 04 Jul 2021
Hierarchical Policies for Cluttered-Scene Grasping with Latent Plans Lirui Wang Xiangyun Meng Yu Xiang Dieter Fox 3DPC DRL 73 27 0 04 Jul 2021
Hybrid Memoised Wake-Sleep: Approximate Inference at the Discrete-Continuous Interface T. Le Katherine M. Collins Luke B. Hewitt Kevin Ellis N. Siddharth S. Gershman J. Tenenbaum 163 5 0 04 Jul 2021
On Out-of-distribution Detection with Energy-based Models Sven Elflein Bertrand Charpentier Daniel Zügner Stephan Günnemann OODD 78 20 0 03 Jul 2021
The Causal-Neural Connection: Expressiveness, Learnability, and Inference K. Xia Kai-Zhan Lee Yoshua Bengio Elias Bareinboim CML 81 111 0 02 Jul 2021
Language-Level Semantics Conditioned 3D Point Cloud Segmentation Bo Liu Shuang Deng Qiulei Dong Zhanyi Hu 3DPC 123 8 0 01 Jul 2021
Relational VAE: A Continuous Latent Variable Model for Graph Structured Data Charilaos Mylonas I. Abdallah Eleni Chatzi BDL 61 1 0 30 Jun 2021
On the Generative Utility of Cyclic Conditionals Chang-Shu Liu Haoyue Tang Tao Qin Jintao Wang Tie-Yan Liu 82 3 0 30 Jun 2021
Monte Carlo Variational Auto-Encoders Achille Thin Nikita Kotelevskii Arnaud Doucet Alain Durmus Eric Moulines Maxim Panov BDL DRL 70 45 0 30 Jun 2021
Diffusion Priors In Variational Autoencoders Antoine Wehenkel Gilles Louppe DiffM 77 23 0 29 Jun 2021
Continuous Latent Process Flows Ruizhi Deng Marcus A. Brubaker Greg Mori Andreas M. Lehrmann AI4TS 268 17 0 29 Jun 2021
A Survey on Neural Speech Synthesis Xu Tan Tao Qin Frank Soong Tie-Yan Liu AI4TS 133 359 0 29 Jun 2021
Flexible Variational Bayes based on a Copula of a Mixture David Gunawan Robert Kohn David J. Nott 107 12 0 28 Jun 2021
Closed-form Continuous-time Neural Models Ramin Hasani Mathias Lechner Alexander Amini Lucas Liebenwein Aaron Ray Max Tschaikowski G. Teschl Daniela Rus PINN AI4TS 106 92 0 25 Jun 2021
On Incorporating Inductive Biases into VAEs Ning Miao Emile Mathieu N. Siddharth Yee Whye Teh Tom Rainforth CML DRL 99 11 0 25 Jun 2021
NP-DRAW: A Non-Parametric Structured Latent Variable Model for Image Generation Xiaohui Zeng R. Urtasun R. Zemel Sanja Fidler Renjie Liao DiffM 38 2 0 25 Jun 2021
Symmetric Wasserstein Autoencoders S. Sun Hong Guo DiffM GAN 46 0 0 24 Jun 2021
Sparse Flows: Pruning Continuous-depth Models Lucas Liebenwein Ramin Hasani Alexander Amini Daniela Rus 118 17 0 24 Jun 2021
Distilling the Knowledge from Conditional Normalizing Flows Dmitry Baranchuk Vladimir Aliev Artem Babenko BDL 85 2 0 24 Jun 2021
Black Box Variational Bayesian Model Averaging Vojtech Kejzlar Shrijita Bhattacharya Mookyong Son T. Maiti BDL 53 3 0 23 Jun 2021
Real-time gravitational-wave science with neural posterior estimation Maximilian Dax Stephen R. Green J. Gair Jakob H. Macke A. Buonanno Bernhard Schölkopf 85 135 0 23 Jun 2021
ADAVI: Automatic Dual Amortized Variational Inference Applied To Pyramidal Bayesian Models Louis Rouillard Demian Wassermann 73 2 0 23 Jun 2021
Learning Identity-Preserving Transformations on Data Manifolds Marissa Connor Kion Fallah Christopher Rozell 93 6 0 22 Jun 2021