Variational Inference with Normalizing Flows

21 May 2015

Danilo Jimenez Rezende

Papers citing "Variational Inference with Normalizing Flows"

50 / 912 papers shown

Title
Stochastic Normalizing Flows Hao Wu Jonas Köhler Frank Noé 57 176 0 16 Feb 2020
TrajectoryNet: A Dynamic Optimal Transport Network for Modeling Cellular Dynamics Alexander Tong Jessie Huang Guy Wolf David van Dijk Smita Krishnaswamy 29 163 0 09 Feb 2020
Variational Item Response Theory: Fast, Accurate, and Expressive Mike Wu R. Davis B. Domingue Chris Piech Noah D. Goodman OffRL 45 53 0 01 Feb 2020
GraphAF: a Flow-based Autoregressive Model for Molecular Graph Generation Chence Shi Minkai Xu Zhaocheng Zhu Weinan Zhang Ming Zhang Jian Tang 66 426 0 26 Jan 2020
Safe Robot Navigation via Multi-Modal Anomaly Detection Lorenz Wellhausen René Ranftl Marco Hutter 23 77 0 22 Jan 2020
i-flow: High-dimensional Integration and Sampling with Normalizing Flows Christina Gao J. Isaacson Claudius Krause AI4CE 24 107 0 15 Jan 2020
Information Newton's flow: second-order optimization method in probability space Yifei Wang Wuchen Li 26 31 0 13 Jan 2020
A Probability Density Theory for Spin-Glass Systems Gavin Hartnett Masoud Mohseni 21 4 0 03 Jan 2020
Discrete and Continuous Action Representation for Practical RL in Video Games Olivier Delalleau Maxim Peter Eloi Alonso Adrien Logut 25 52 0 23 Dec 2019
The Usual Suspects? Reassessing Blame for VAE Posterior Collapse Bin Dai Ziyu Wang David Wipf DRL 24 75 0 23 Dec 2019
Algorithm Unrolling: Interpretable, Efficient Deep Learning for Signal and Image Processing V. Monga Yuelong Li Yonina C. Eldar 46 1,002 0 22 Dec 2019
Invertible Gaussian Reparameterization: Revisiting the Gumbel-Softmax Andres Potapczynski G. Loaiza-Ganem John P. Cunningham 32 29 0 19 Dec 2019
C-Flow: Conditional Generative Flow Models for Images and 3D Point Clouds Albert Pumarola S. Popov Francesc Moreno-Noguer V. Ferrari 3DPC AI4CE 31 80 0 15 Dec 2019
InfoCNF: An Efficient Conditional Continuous Normalizing Flow with Adaptive Solvers T. Nguyen Animesh Garg Richard G. Baraniuk Anima Anandkumar TPM 28 9 0 09 Dec 2019
Getting Topology and Point Cloud Generation to Mesh Austin Dill Chun-Liang Li Songwei Ge Eunsu Kang 3DPC 25 3 0 08 Dec 2019
Normalizing Flows for Probabilistic Modeling and Inference George Papamakarios Eric T. Nalisnick Danilo Jimenez Rezende S. Mohamed Balaji Lakshminarayanan TPM AI4CE 62 1,631 0 05 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
Self-attention with Functional Time Representation Learning Da Xu Chuanwei Ruan Sushant Kumar Evren Körpeoglu Kannan Achan AI4TS 23 114 0 28 Nov 2019
Mixed-curvature Variational Autoencoders Ondrej Skopek O. Ganea Gary Bécigneul CML DRL BDL 30 101 0 19 Nov 2019
Rate-Regularization and Generalization in VAEs Alican Bozkurt Babak Esmaeili Jean-Baptiste Tristan Dana H. Brooks Jennifer G. Dy Jan-Willem van de Meent DRL 38 7 0 11 Nov 2019
Machine learning for molecular simulation Frank Noé A. Tkatchenko K. Müller C. Clementi AI4CE 24 642 0 07 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
Convolutional Conditional Neural Processes Jonathan Gordon W. Bruinsma Andrew Y. K. Foong James Requeima Yann Dubois Richard Turner BDL 25 162 0 29 Oct 2019
Weight of Evidence as a Basis for Human-Oriented Explanations David Alvarez-Melis Hal Daumé Jennifer Wortman Vaughan Hanna M. Wallach XAI FAtt 24 20 0 29 Oct 2019
On Investigation of Unsupervised Speech Factorization Based on Normalization Flow Haoran Sun Yunqi Cai Lantian Li Dong Wang 21 1 0 29 Oct 2019
Discrete Residual Flow for Probabilistic Pedestrian Behavior Prediction Ajay Jain Sergio Casas Renjie Liao Yuwen Xiong Song Feng Sean Segal R. Urtasun 156 73 0 17 Oct 2019
MAVEN: Multi-Agent Variational Exploration Anuj Mahajan Tabish Rashid Mikayel Samvelyan Shimon Whiteson DRL 148 355 0 16 Oct 2019
The Renyi Gaussian Process: Towards Improved Generalization Xubo Yue Raed Al Kontar 107 3 0 15 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 21 216 0 30 Sep 2019
Wasserstein-2 Generative Networks Alexander Korotin Vage Egiazarian Arip Asadulaev Alexander Safin E. Burnaev GAN 131 101 0 28 Sep 2019
Intensity-Free Learning of Temporal Point Processes Oleksandr Shchur Marin Bilos Stephan Günnemann AI4TS 27 168 0 26 Sep 2019
Prediction of rare feature combinations in population synthesis: Application of deep generative modelling Sergio Garrido S. Borysov Francisco Câmara Pereira Jeppe Rich 15 42 0 17 Sep 2019
$ρ$ -VAE: Autoregressive parametrization of the VAE encoder Sohrab Ferdowsi M. Diephuis Shideh Rezaeifar Slava Voloshynovskiy 14 3 0 13 Sep 2019
Balancing Reconstruction Quality and Regularisation in ELBO for VAEs Shuyu Lin Stephen J. Roberts Niki Trigoni R. Clark DRL 21 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 27 84 0 24 Aug 2019
DUAL-GLOW: Conditional Flow-Based Generative Model for Modality Transfer Haoliang Sun Ronak R. Mehta H. Zhou Z. Huang Sterling C. Johnson V. Prabhakaran Vikas Singh MedIm 31 46 0 21 Aug 2019
Unconstrained Monotonic Neural Networks Antoine Wehenkel Gilles Louppe TPM 34 146 0 14 Aug 2019
Probabilistic Residual Learning for Aleatoric Uncertainty in Image Restoration Chen Zhang Bangti Jin UQCV 22 12 0 01 Aug 2019
MadMiner: Machine learning-based inference for particle physics Johann Brehmer F. Kling Irina Espejo Kyle Cranmer 21 113 0 24 Jul 2019
Transport Monte Carlo: High-Accuracy Posterior Approximation via Random Transport L. Duan OT 31 11 0 24 Jul 2019
The continuous Bernoulli: fixing a pervasive error in variational autoencoders G. Loaiza-Ganem John P. Cunningham DRL 29 83 0 16 Jul 2019
Copula & Marginal Flows: Disentangling the Marginal from its Joint Magnus Wiese R. Knobloch R. Korn DRL 21 21 0 07 Jul 2019
PointFlow: 3D Point Cloud Generation with Continuous Normalizing Flows Guandao Yang Xun Huang Jinwei Gu Ming Liu Serge J. Belongie Bharath Hariharan 3DPC 40 658 0 28 Jun 2019
Monte Carlo Gradient Estimation in Machine Learning S. Mohamed Mihaela Rosca Michael Figurnov A. Mnih 45 400 0 25 Jun 2019
Compositionally-Warped Gaussian Processes Gonzalo Rios Felipe A. Tobar 19 41 0 23 Jun 2019
Variational Sequential Labelers for Semi-Supervised Learning Mingda Chen Qingming Tang Karen Livescu Kevin Gimpel SSL DRL BDL VLM 30 39 0 23 Jun 2019