Improving Variational Inference with Inverse Autoregressive Flow

15 June 2016

Papers citing "Improving Variational Inference with Inverse Autoregressive Flow"

50 / 354 papers shown

Title
Understanding and Mitigating Exploding Inverses in Invertible Neural Networks Jens Behrmann Paul Vicol Kuan-Chieh Jackson Wang Roger C. Grosse J. Jacobsen 23 92 0 16 Jun 2020
Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts Bertrand Charpentier Daniel Zügner Stephan Günnemann UQCV UD EDL BDL 25 169 0 16 Jun 2020
A Variational Approach to Privacy and Fairness Borja Rodríguez Gálvez Ragnar Thobaben Mikael Skoglund FaML DRL 19 25 0 11 Jun 2020
Learning normalizing flows from Entropy-Kantorovich potentials Chris Finlay Augusto Gerolin Adam M. Oberman Aram-Alexandre Pooladian 33 23 0 10 Jun 2020
Deep generative models for musical audio synthesis M. Huzaifah L. Wyse 19 20 0 10 Jun 2020
Probabilistic Autoencoder Vanessa Böhm U. Seljak UQCV BDL DRL 16 32 0 09 Jun 2020
The Convolution Exponential and Generalized Sylvester Flows Emiel Hoogeboom Victor Garcia Satorras Jakub M. Tomczak Max Welling 25 28 0 02 Jun 2020
Distributional Random Forests: Heterogeneity Adjustment and Multivariate Distributional Regression Domagoj Cevid Loris Michel Jeffrey Näf N. Meinshausen Peter Buhlmann 35 39 0 29 May 2020
Joint Stochastic Approximation and Its Application to Learning Discrete Latent Variable Models Zhijian Ou Yunfu Song BDL 32 8 0 28 May 2020
Flowtron: an Autoregressive Flow-based Generative Network for Text-to-Speech Synthesis Rafael Valle Kevin J. Shih R. Prenger Bryan Catanzaro 13 119 0 12 May 2020
Invertible Image Rescaling Mingqing Xiao Shuxin Zheng Chang-Shu Liu Yaolong Wang Di He Guolin Ke Jiang Bian Zhouchen Lin Tie-Yan Liu SupR 22 234 0 12 May 2020
Jigsaw-VAE: Towards Balancing Features in Variational Autoencoders Saeid Asgari Taghanaki Mohammad Havaei Alex Lamb Aditya Sanghi Aram Danielyan Tonya Custis DRL 25 7 0 12 May 2020
Multi-band MelGAN: Faster Waveform Generation for High-Quality Text-to-Speech Geng Yang Shan Yang Kai-Chun Liu Peng Fang Wei Chen Lei Xie 50 198 0 11 May 2020
Lossy Compression with Distortion Constrained Optimization T. V. Rozendaal Guillaume Sautière Taco S. Cohen 31 13 0 08 May 2020
Crossing Variational Autoencoders for Answer Retrieval W. Yu Lingfei Wu Qingkai Zeng S. Tao Yu Deng Meng Jiang DRL RALM OOD BDL 6 15 0 06 May 2020
A Batch Normalized Inference Network Keeps the KL Vanishing Away Qile Zhu Jianlin Su Wei Bi Xiaojiang Liu Xiyao Ma Xiaolin Li D. Wu BDL DRL 34 61 0 27 Apr 2020
PatchVAE: Learning Local Latent Codes for Recognition Kamal Gupta Saurabh Singh Abhinav Shrivastava SSL DRL 14 20 0 07 Apr 2020
TraDE: Transformers for Density Estimation Rasool Fakoor Pratik Chaudhari Jonas W. Mueller Alex Smola 12 30 0 06 Apr 2020
Optimus: Organizing Sentences via Pre-trained Modeling of a Latent Space Chunyuan Li Xiang Gao Yuan Li Baolin Peng Xiujun Li Yizhe Zhang Jianfeng Gao SSL DRL 32 181 0 05 Apr 2020
Variational Inference with Vine Copulas: An efficient Approach for Bayesian Computer Model Calibration Vojtech Kejzlar T. Maiti 16 6 0 28 Mar 2020
FormulaZero: Distributionally Robust Online Adaptation via Offline Population Synthesis Aman Sinha Matthew O'Kelly Hongrui Zheng Rahul Mangharam John C. Duchi Russ Tedrake OffRL 66 26 0 09 Mar 2020
The Variational InfoMax Learning Objective Vincenzo Crescimanna Bruce P. Graham 11 0 0 07 Mar 2020
Diverse and Admissible Trajectory Forecasting through Multimodal Context Understanding Seonguk Park Gyubok Lee Manoj Bhat Jimin Seo Minseok Kang Jonathan M Francis Ashwin R. Jadhav Paul Pu Liang Louis-Philippe Morency 136 119 0 06 Mar 2020
Gravitational-wave parameter estimation with autoregressive neural network flows Stephen R. Green C. Simpson J. Gair BDL 83 87 0 18 Feb 2020
Balancing reconstruction error and Kullback-Leibler divergence in Variational Autoencoders Andrea Asperti Matteo Trentin DRL 22 96 0 18 Feb 2020
Deep Gaussian Markov Random Fields Per Sidén Fredrik Lindsten BDL 14 22 0 18 Feb 2020
Augmented Normalizing Flows: Bridging the Gap Between Generative Flows and Latent Variable Models Chin-Wei Huang Laurent Dinh Aaron Courville DRL 31 87 0 17 Feb 2020
Variational Autoencoders with Riemannian Brownian Motion Priors Dimitris Kalatzis David Eklund Georgios Arvanitidis Søren Hauberg BDL DRL 60 48 0 12 Feb 2020
Learning Flat Latent Manifolds with VAEs Nutan Chen Alexej Klushyn Francesco Ferroni Justin Bayer Patrick van der Smagt DRL 24 39 0 12 Feb 2020
TrajectoryNet: A Dynamic Optimal Transport Network for Modeling Cellular Dynamics Alexander Tong Jessie Huang Guy Wolf David van Dijk Smita Krishnaswamy 29 158 0 09 Feb 2020
GraphAF: a Flow-based Autoregressive Model for Molecular Graph Generation Chence Shi Minkai Xu Zhaocheng Zhu Weinan Zhang Ming Zhang Jian Tang 61 425 0 26 Jan 2020
Towards GAN Benchmarks Which Require Generalization Ishaan Gulrajani Colin Raffel Luke Metz 24 57 0 10 Jan 2020
HiLLoC: Lossless Image Compression with Hierarchical Latent Variable Models James Townsend Thomas Bird Julius Kunze David Barber BDL VLM 13 56 0 20 Dec 2019
Invertible Gaussian Reparameterization: Revisiting the Gumbel-Softmax Andres Potapczynski G. Loaiza-Ganem John P. Cunningham 32 29 0 19 Dec 2019
Learning Multi-layer Latent Variable Model via Variational Optimization of Short Run MCMC for Approximate Inference Erik Nijkamp Bo Pang Tian Han Linqi Zhou Song-Chun Zhu Ying Nian Wu BDL DRL 19 2 0 04 Dec 2019
Don't Blame the ELBO! A Linear VAE Perspective on Posterior Collapse James Lucas George Tucker Roger C. Grosse Mohammad Norouzi CoGe DRL 19 179 0 06 Nov 2019
Scalable Variational Gaussian Processes for Crowdsourcing: Glitch Detection in LIGO Pablo Morales-Álvarez Pablo Ruiz S. Coughlin Rafael Molina Aggelos K. Katsaggelos 21 14 0 05 Nov 2019
On Investigation of Unsupervised Speech Factorization Based on Normalization Flow Haoran Sun Yunqi Cai Lantian Li Dong Wang 19 1 0 29 Oct 2019
Transferring neural speech waveform synthesizers to musical instrument sounds generation Yi Zhao Xin Wang Lauri Juvela Junichi Yamagishi 16 16 0 27 Oct 2019
MAVEN: Multi-Agent Variational Exploration Anuj Mahajan Tabish Rashid Mikayel Samvelyan Shimon Whiteson DRL 137 355 0 16 Oct 2019
Generative Neural Network based Spectrum Sharing using Linear Sum Assignment Problems A. B. Zaki J. Huang Kaishun Wu B. Elhalawany 17 15 0 12 Oct 2019
FIS-GAN: GAN with Flow-based Importance Sampling Shiyu Yi Donglin Zhan Wenqing Zhang Zhengyang Geng Kang An Hao Wang GAN 22 3 0 06 Oct 2019
High Mutual Information in Representation Learning with Symmetric Variational Inference M. Livne Kevin Swersky David J. Fleet SSL DRL 28 0 0 04 Oct 2019
The Neural Moving Average Model for Scalable Variational Inference of State Space Models Tom Ryder D. Prangle Andrew Golightly Isaac Matthews BDL AI4TS 16 6 0 02 Oct 2019
Relaxing Bijectivity Constraints with Continuously Indexed Normalising Flows R. Cornish Anthony L. Caterini George Deligiannidis Arnaud Doucet 22 2 0 30 Sep 2019
Hamiltonian Generative Networks Peter Toth Danilo Jimenez Rezende Andrew Jaegle S. Racanière Aleksandar Botev I. Higgins BDL DRL AI4CE GAN 21 215 0 30 Sep 2019
Balancing Reconstruction Quality and Regularisation in ELBO for VAEs Shuyu Lin Stephen J. Roberts Niki Trigoni R. Clark DRL 18 15 0 09 Sep 2019
A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text Bohan Li Junxian He Graham Neubig Taylor Berg-Kirkpatrick Yiming Yang DRL 11 70 0 02 Sep 2019
PixelVAE++: Improved PixelVAE with Discrete Prior Hossein Sadeghi Evgeny Andriyash W. Vinci L. Buffoni Mohammad H. Amin BDL DRL 21 33 0 26 Aug 2019
Conditional Flow Variational Autoencoders for Structured Sequence Prediction Apratim Bhattacharyya M. Hanselmann Mario Fritz Bernt Schiele C. Straehle BDL DRL AI4TS 24 83 0 24 Aug 2019