v1v2v3v4v5v6 (latest)

Variational Inference with Normalizing Flows

21 May 2015

Danilo Jimenez Rezende

Papers citing "Variational Inference with Normalizing Flows"

50 / 2,268 papers shown

Title
Variational Disentanglement for Rare Event Modeling Zidi Xiu Chenyang Tao M. Gao Connor Davis B. Goldstein Ricardo Henao CML DRL 83 7 0 17 Sep 2020
Evaluating and Mitigating Bias in Image Classifiers: A Causal Perspective Using Counterfactuals Saloni Dash V. Balasubramanian Amit Sharma CML 76 70 0 17 Sep 2020
Quasi-Autoregressive Residual (QuAR) Flows Achintya Gopal TPM 40 2 0 16 Sep 2020
Demand Forecasting of Individual Probability Density Functions with Machine Learning Felix Wick U. Kerzel Martin Hahn Moritz Wolf Trapti Singhal Daniel Stemmer Jakob Ernst M. Feindt OOD AI4TS 78 4 0 15 Sep 2020
Deep Switching Auto-Regressive Factorization:Application to Time Series Forecasting Amirreza Farnoosh Bahar Azari Sarah Ostadabbas BDL AI4TS 73 22 0 10 Sep 2020
Blind Image Restoration with Flow Based Priors Leonhard Helminger M. Bernasconi Abdelaziz Djelouah Markus Gross Christopher Schroers 21 3 0 09 Sep 2020
Multilinear Latent Conditioning for Generating Unseen Attribute Combinations Markos Georgopoulos Grigorios G. Chrysos Maja Pantic Yannis Panagakis GAN DRL 68 17 0 09 Sep 2020
Learning more expressive joint distributions in multimodal variational methods S. Nedelkoski Mihail Bogojeski O. Kao 28 1 0 08 Sep 2020
DCTRGAN: Improving the Precision of Generative Models with Reweighting S. Diefenbacher E. Eren Gregor Kasieczka A. Korol Benjamin Nachman David Shih 78 44 0 03 Sep 2020
Quasi-symplectic Langevin Variational Autoencoder Zihao Wang H. Delingette BDL DRL 73 4 0 02 Sep 2020
Variational Mixture of Normalizing Flows Guilherme G. P. Freitas Pires Mário A. T. Figueiredo BDL DRL 61 16 0 01 Sep 2020
Stochastic Graph Recurrent Neural Network Tijin Yan Hongwei Zhang Zirui Li Yuanqing Xia GNN BDL 33 5 0 01 Sep 2020
LaDDer: Latent Data Distribution Modelling with a Generative Prior Shuyu Lin R. Clark DRL 108 4 0 31 Aug 2020
Dynamical Variational Autoencoders: A Comprehensive Review Laurent Girin Simon Leglaive Xiaoyu Bie Julien Diard Thomas Hueber Xavier Alameda-Pineda BDL 145 223 0 28 Aug 2020
Same Same But DifferNet: Semi-Supervised Defect Detection with Normalizing Flows Marco Rudolph Bastian Wandt Bodo Rosenhahn UQCV 97 336 0 28 Aug 2020
Decoupled Variational Embedding for Signed Directed Networks Xu Chen Jiangchao Yao Maosen Li Ya Zhang Yanfeng Wang 66 4 0 28 Aug 2020
Low-rank Characteristic Tensor Density Estimation Part I: Foundations Magda Amiridi Nikos Kargas N. Sidiropoulos 74 19 0 27 Aug 2020
Orientation-Disentangled Unsupervised Representation Learning for Computational Pathology Maxime W. Lafarge J. Pluim M. Veta DRL 46 8 0 26 Aug 2020
Neural Bridge Sampling for Evaluating Safety-Critical Autonomous Systems Aman Sinha Matthew O'Kelly Russ Tedrake John C. Duchi 100 49 0 24 Aug 2020
Lossy Image Compression with Normalizing Flows Leonhard Helminger Abdelaziz Djelouah Markus Gross Christopher Schroers 56 48 0 24 Aug 2020
TNT: Target-driveN Trajectory Prediction Hang Zhao Jiyang Gao Tian-Shing Lan Chen Sun Benjamin Sapp ... Yi Shen Yuning Chai Cordelia Schmid Congcong Li Dragomir Anguelov 116 560 0 19 Aug 2020
Intelligence plays dice: Stochasticity is essential for machine learning M. Sabuncu 135 6 0 17 Aug 2020
Estimating Causal Effects with the Neural Autoregressive Density Estimator Sergio Garrido S. Borysov Jeppe Rich Francisco Câmara Pereira CML 64 7 0 17 Aug 2020
Audio Dequantization for High Fidelity Audio Generation in Flow-based Neural Vocoder Hyun-Wook Yoon Sang-Hoon Lee Hyeong-Rae Noh Seong-Whan Lee 111 11 0 16 Aug 2020
Variance reduction for dependent sequences with applications to Stochastic Gradient MCMC Denis Belomestny L. Iosipoi Eric Moulines A. Naumov S. Samsonov 72 6 0 16 Aug 2020
Adaptation Algorithms for Neural Network-Based Speech Recognition: An Overview P. Bell Joachim Fainberg Ondˇrej Klejch Jinyu Li Steve Renals P. Swietojanski 124 78 0 14 Aug 2020
GANplifying Event Samples A. Butter S. Diefenbacher Gregor Kasieczka Benjamin Nachman Tilman Plehn GAN 78 73 0 14 Aug 2020
Learning Gradient Fields for Shape Generation Ruojin Cai Guandao Yang Hadar Averbuch-Elor Jinwei Gu Serge J. Belongie Noah Snavely B. Hariharan 3DPC 130 286 0 14 Aug 2020
Generate High Resolution Images With Generative Variational Autoencoder Abhinav Sagar GAN DRL 39 3 0 12 Aug 2020
Null-sampling for Interpretable and Fair Representations T. Kehrenberg Myles Bartlett Oliver Thomas Novi Quadrianto OOD 41 29 0 12 Aug 2020
IGANI: Iterative Generative Adversarial Networks for Imputation with Application to Traffic Data A. Kazemi Hadi Meidani 41 20 0 11 Aug 2020
ClimAlign: Unsupervised statistical downscaling of climate variables via normalizing flows Brian Groenke Luke Madaus C. Monteleoni BDL 51 47 0 11 Aug 2020
Complete parameter inference for GW150914 using deep learning Stephen R. Green J. Gair BDL 101 90 0 07 Aug 2020
Generative Adversarial Networks for Image and Video Synthesis: Algorithms and Applications Xuan Li Xun Huang Jiahui Yu Ting-Chun Wang Arun Mallya GAN 170 155 0 06 Aug 2020
CaSPR: Learning Canonical Spatiotemporal Point Cloud Representations Davis Rempe Tolga Birdal Yongheng Zhao Zan Gojcic Srinath Sridhar Leonidas Guibas 3DPC 137 72 0 06 Aug 2020
StyleFlow: Attribute-conditioned Exploration of StyleGAN-Generated Images using Conditional Continuous Normalizing Flows Rameen Abdal Peihao Zhu Niloy Mitra Peter Wonka 121 535 0 06 Aug 2020
Geometrically Enriched Latent Spaces Georgios Arvanitidis Søren Hauberg Bernhard Schölkopf DRL 77 55 0 02 Aug 2020
Variational Filtering with Copula Models for SLAM John D. Martin Kevin Doherty Caralyn Cyr Brendan Englot J. Leonard 61 3 0 02 Aug 2020
SeismoFlow -- Data augmentation for the class imbalance problem R. Milidiú Luis Müller AI4TS 30 1 0 23 Jul 2020
Time Series Source Separation with Slow Flows Edouard Pineau S. Razakarivony Thomas Bonald BDL AI4TS 64 2 0 20 Jul 2020
Discrete Point Flow Networks for Efficient Point Cloud Generation Roman Klokov Edmond Boyer Jakob Verbeek 3DPC 92 107 0 20 Jul 2020
A Fourier State Space Model for Bayesian ODE Filters Hans Kersting Maren Mahsereci 50 3 0 17 Jul 2020
Probabilistic Active Meta-Learning Jean Kaddour Steindór Sæmundsson M. Deisenroth 98 35 0 17 Jul 2020
AdvFlow: Inconspicuous Black-box Adversarial Attacks using Normalizing Flows H. M. Dolatabadi S. Erfani C. Leckie AAML 127 66 0 15 Jul 2020
Deep composition of tensor-trains using squared inverse Rosenblatt transports Tiangang Cui S. Dolgov OT 57 34 0 14 Jul 2020
Fisher Auto-Encoders Khalil Elkhalil Ali Hasan Jie Ding Sina Farsiu Vahid Tarokh 36 9 0 12 Jul 2020
Towards Robust Classification with Deep Generative Forests Alvaro H. C. Correia Robert Peharz Cassio de Campos TPM 33 2 0 11 Jul 2020
Quasi-Periodic WaveNet: An Autoregressive Raw Waveform Generative Model with Pitch-dependent Dilated Convolution Neural Network Yi-Chiao Wu Tomoki Hayashi Patrick Lumban Tobing Kazuhiro Kobayashi Tomoki Toda 50 18 0 11 Jul 2020
Variational Inference with Continuously-Indexed Normalizing Flows Anthony L. Caterini R. Cornish Dino Sejdinovic Arnaud Doucet BDL 75 20 0 10 Jul 2020
NVAE: A Deep Hierarchical Variational Autoencoder Arash Vahdat Jan Kautz BDL 143 919 0 08 Jul 2020