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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
GraphEBM: Molecular Graph Generation with Energy-Based Models Meng Liu Keqiang Yan Bora Oztekin Shuiwang Ji 98 88 0 31 Jan 2021
Learning Non-linear Wavelet Transformation via Normalizing Flow Shuo-Hui Li 50 3 0 27 Jan 2021
Generalized Doubly Reparameterized Gradient Estimators Matthias Bauer A. Mnih BDL 74 15 0 26 Jan 2021
Image-to-Image Translation: Methods and Applications Yingxue Pang Jianxin Lin Tao Qin Zhibo Chen VLM 115 267 0 21 Jan 2021
Learning based signal detection for MIMO systems with unknown noise statistics Ke He Le He Lisheng Fan Yansha Deng G. Karagiannidis A. Nallanathan 46 57 0 21 Jan 2021
Convolutional conditional neural processes for local climate downscaling Anna Vaughan Will Tebbutt J. S. Hosking Richard Turner BDL 89 49 0 20 Jan 2021
E Pluribus Unum Ex Machina: Learning from Many Collider Events at Once Benjamin Nachman Jesse Thaler 91 34 0 18 Jan 2021
Mind the Gap when Conditioning Amortised Inference in Sequential Latent-Variable Models Justin Bayer Maximilian Soelch Atanas Mirchev Baris Kayalibay Patrick van der Smagt 117 15 0 18 Jan 2021
Deep Structured Reactive Planning Jerry Liu Wenyuan Zeng R. Urtasun Ersin Yumer 127 30 0 18 Jan 2021
Efficient Semi-Implicit Variational Inference Vincent Moens Hang Ren A. Maraval Rasul Tutunov Jun Wang H. Ammar 161 7 0 15 Jan 2021
MC-LSTM: Mass-Conserving LSTM Pieter-Jan Hoedt Frederik Kratzert D. Klotz Christina Halmich Markus Holzleitner G. Nearing Sepp Hochreiter Günter Klambauer 87 60 0 13 Jan 2021
Benchmarking Simulation-Based Inference Jan-Matthis Lueckmann Jan Boelts David S. Greenberg P. J. Gonçalves Jakob H. Macke 267 198 0 12 Jan 2021
Controllable Guarantees for Fair Outcomes via Contrastive Information Estimation Umang Gupta Aaron Ferber B. Dilkina Greg Ver Steeg 113 58 0 11 Jan 2021
Preconditioned training of normalizing flows for variational inference in inverse problems Ali Siahkoohi G. Rizzuti M. Louboutin Philipp A. Witte Felix J. Herrmann 109 32 0 11 Jan 2021
How to Train Your Energy-Based Models Yang Song Diederik P. Kingma DiffM 104 265 0 09 Jan 2021
Cauchy-Schwarz Regularized Autoencoder Linh-Tam Tran Maja Pantic M. Deisenroth DRL BDL 75 17 0 06 Jan 2021
Copula Flows for Synthetic Data Generation Sanket Kamthe Samuel A. Assefa M. Deisenroth 126 53 0 03 Jan 2021
Variational Determinant Estimation with Spherical Normalizing Flows Simon Passenheim Emiel Hoogeboom BDL 48 1 0 24 Dec 2020
Evolutionary Variational Optimization of Generative Models Jakob Drefs E. Guiraud Jörg Lücke BDL DRL 79 7 0 22 Dec 2020
Flow-based Generative Models for Learning Manifold to Manifold Mappings Xingjian Zhen Rudrasis Chakraborty Liu Yang Vikas Singh DRL MedIm 142 9 0 18 Dec 2020
RainBench: Towards Global Precipitation Forecasting from Satellite Imagery Christian Schroeder de Witt Catherine Tong Valentina Zantedeschi D. Martini F. Kalaitzis Matthew Chantry D. Watson‐Parris Piotr Bilinski AI4Cl 73 11 0 17 Dec 2020
Model-Based Deep Learning Nir Shlezinger Jay Whang Yonina C. Eldar A. Dimakis 126 330 0 15 Dec 2020
Calibrated Adaptive Probabilistic ODE Solvers Nathanael Bosch Philipp Hennig Filip Tronarp 92 29 0 15 Dec 2020
A case for new neural network smoothness constraints Mihaela Rosca T. Weber Arthur Gretton S. Mohamed AAML 145 50 0 14 Dec 2020
Bayesian Neural Ordinary Differential Equations Raj Dandekar Karen Chung Vaibhav Dixit Mohamed Tarek Aslan Garcia-Valadez Krishna Vishal Vemula Chris Rackauckas UQCV OOD BDL 79 53 0 14 Dec 2020
Structured Policy Representation: Imposing Stability in arbitrarily conditioned dynamic systems Julen Urain Davide Tateo Tianyu Ren Jan Peters 34 1 0 11 Dec 2020
Generative Learning With Euler Particle Transport Yuan Gao Jian Huang Yuling Jiao Jin Liu Xiliang Lu J. Yang OT 60 2 0 11 Dec 2020
Convex Potential Flows: Universal Probability Distributions with Optimal Transport and Convex Optimization Chin-Wei Huang Ricky T. Q. Chen Christos Tsirigotis Aaron Courville OT 230 98 0 10 Dec 2020
Accelerating Continuous Normalizing Flow with Trajectory Polynomial Regularization Han Huang Mi-Yen Yeh 69 8 0 08 Dec 2020
HEBO Pushing The Limits of Sample-Efficient Hyperparameter Optimisation Alexander I. Cowen-Rivers Wenlong Lyu Rasul Tutunov Zhi Wang Antoine Grosnit ... A. Maraval Hao Jianye Jun Wang Jan Peters H. Ammar 123 80 0 07 Dec 2020
Perfect density models cannot guarantee anomaly detection Charline Le Lan Laurent Dinh 100 50 0 07 Dec 2020
Deep Archimedean Copulas Chun Kai Ling Fei Fang J. Zico Kolter TPM 65 22 0 05 Dec 2020
ChartPointFlow for Topology-Aware 3D Point Cloud Generation Takumi Kimura Takashi Matsubara K. Uehara 3DPC 101 8 0 04 Dec 2020
Text-to-speech for the hearing impaired Josef Schlittenlacher T. Baer 32 0 0 03 Dec 2020
Integrable Nonparametric Flows David Pfau Danilo Jimenez Rezende 54 5 0 03 Dec 2020
MelGlow: Efficient Waveform Generative Network Based on Location-Variable Convolution Zhen Zeng Jianzong Wang Ning Cheng Jing Xiao 44 8 0 03 Dec 2020
Information Theory in Density Destructors J. E. Johnson Valero Laparra Gustau Camps-Valls Raúl Santos-Rodríguez Jesús Malo 52 8 0 02 Dec 2020
Refining Deep Generative Models via Discriminator Gradient Flow Abdul Fatir Ansari Ming Liang Ang Harold Soh 100 49 0 01 Dec 2020
Mutual Information Constraints for Monte-Carlo Objectives Gábor Melis András Gyorgy Phil Blunsom 67 1 0 01 Dec 2020
Improved Variational Bayesian Phylogenetic Inference with Normalizing Flows Cheng Zhang BDL 75 27 0 01 Dec 2020
Likelihood-Based Diverse Sampling for Trajectory Forecasting Yecheng Jason Ma J. Inala Dinesh Jayaraman Osbert Bastani AI4TS 81 28 0 30 Nov 2020
General Invertible Transformations for Flow-based Generative Modeling Jakub M. Tomczak DRL AI4CE 43 4 0 30 Nov 2020
Generative Layout Modeling using Constraint Graphs W. Para Paul Guerrero Tom Kelly Leonidas Guibas Peter Wonka 83 71 0 26 Nov 2020
Regularization with Latent Space Virtual Adversarial Training Genki Osada Budrul Ahsan Revoti Prasad Bora Takashi Nishide 87 14 0 26 Nov 2020
Rethinking conditional GAN training: An approach using geometrically structured latent manifolds Sameera Ramasinghe M. Farazi Salman Khan Nick Barnes Stephen Gould GAN 93 8 0 25 Nov 2020
All You Need is a Good Functional Prior for Bayesian Deep Learning Ba-Hien Tran Simone Rossi Dimitrios Milios Maurizio Filippone OOD BDL 77 61 0 25 Nov 2020
Supercharging Imbalanced Data Learning With Energy-based Contrastive Representation Transfer Zidi Xiu Junya Chen Ricardo Henao B. Goldstein Lawrence Carin Chenyang Tao 68 10 0 25 Nov 2020
Variational Monocular Depth Estimation for Reliability Prediction Noriaki Hirose S. Taguchi Keisuke Kawano Satoshi Koide MDE 58 4 0 24 Nov 2020
Diverse Plausible Shape Completions from Ambiguous Depth Images Brad Saund Dmitry Berenson 3DPC 3DV 36 3 0 18 Nov 2020
Predictive Coding, Variational Autoencoders, and Biological Connections Joseph Marino DRL AI4CE 95 45 0 15 Nov 2020