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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
Latent Normalizing Flows for Discrete Sequences Zachary M. Ziegler Alexander M. Rush BDL DRL 119 129 0 29 Jan 2019
Discretizing Continuous Action Space for On-Policy Optimization Yunhao Tang Shipra Agrawal OffRL 107 124 0 29 Jan 2019
We Are Not Your Real Parents: Telling Causal from Confounded using MDL David Kaltenpoth Jilles Vreeken CML 114 22 0 21 Jan 2019
Physics-Constrained Deep Learning for High-dimensional Surrogate Modeling and Uncertainty Quantification without Labeled Data Yinhao Zhu N. Zabaras P. Koutsourelakis P. Perdikaris PINN AI4CE 145 876 0 18 Jan 2019
Conditional deep surrogate models for stochastic, high-dimensional, and multi-fidelity systems Yibo Yang P. Perdikaris SyDa BDL AI4CE 66 56 0 15 Jan 2019
Posterior inference unchained with EL_2O U. Seljak Byeonghee Yu 79 10 0 14 Jan 2019
Preventing Posterior Collapse with delta-VAEs Ali Razavi Aaron van den Oord Ben Poole Oriol Vinyals DRL 94 171 0 10 Jan 2019
Dirichlet Variational Autoencoder Weonyoung Joo Wonsung Lee Sungrae Park Il-Chul Moon BDL DRL 128 105 0 09 Jan 2019
MAE: Mutual Posterior-Divergence Regularization for Variational AutoEncoders Xuezhe Ma Chunting Zhou Eduard H. Hovy DRL 75 39 0 06 Jan 2019
Poincaré Wasserstein Autoencoder Ivan Ovinnikov 97 17 0 05 Jan 2019
A Tutorial on Deep Latent Variable Models of Natural Language Yoon Kim Sam Wiseman Alexander M. Rush BDL VLM 121 42 0 17 Dec 2018
AdaFlow: Domain-Adaptive Density Estimator with Application to Anomaly Detection and Unpaired Cross-Domain Translation Masataka Yamaguchi Yuma Koizumi Noboru Harada 91 37 0 14 Dec 2018
Encoding prior knowledge in the structure of the likelihood Jakob Knollmüller T. Ensslin 69 11 0 11 Dec 2018
Learning Controllable Fair Representations Jiaming Song Pratyusha Kalluri Aditya Grover Shengjia Zhao Stefano Ermon FaML 98 180 0 11 Dec 2018
Bayesian Layers: A Module for Neural Network Uncertainty Dustin Tran Michael W. Dusenberry Mark van der Wilk Danijar Hafner UQCV BDL 131 124 0 10 Dec 2018
Partitioned Variational Inference: A unified framework encompassing federated and continual learning T. Bui Cuong V Nguyen S. Swaroop Richard Turner FedML 91 56 0 27 Nov 2018
Learning Attractor Dynamics for Generative Memory Yan Wu Greg Wayne Karol Gregor Timothy Lillicrap BDL 98 18 0 23 Nov 2018
Spread Divergence Mingtian Zhang Peter Hayes Thomas Bird Raza Habib David Barber MedIm UD 96 20 0 21 Nov 2018
Learning deep kernels for exponential family densities W. Li Danica J. Sutherland Heiko Strathmann Arthur Gretton BDL 103 74 0 20 Nov 2018
The Theory and Algorithm of Ergodic Inference Yichuan Zhang 33 2 0 17 Nov 2018
Sorting out Lipschitz function approximation Cem Anil James Lucas Roger C. Grosse 98 325 0 13 Nov 2018
Adversarial Uncertainty Quantification in Physics-Informed Neural Networks Yibo Yang P. Perdikaris AI4CE PINN 159 361 0 09 Nov 2018
Wasserstein variational gradient descent: From semi-discrete optimal transport to ensemble variational inference L. Ambrogioni Rémi Flamary R. Tavenard OT 63 13 0 07 Nov 2018
FloWaveNet : A Generative Flow for Raw Audio Sungwon Kim Sang-gil Lee Jongyoon Song Jaehyeon Kim Sungroh Yoon 116 169 0 06 Nov 2018
Invertible Residual Networks Jens Behrmann Will Grathwohl Ricky T. Q. Chen David Duvenaud J. Jacobsen UQCV TPM 183 625 0 02 Nov 2018
WaveGlow: A Flow-based Generative Network for Speech Synthesis R. Prenger Rafael Valle Bryan Catanzaro 168 1,036 0 31 Oct 2018
Hybrid Generative-Discriminative Models for Inverse Materials Design Phuoc Nguyen T. Tran Sunil R. Gupta Santu Rana Svetha Venkatesh AI4CE PINN 39 6 0 31 Oct 2018
Towards Principled Uncertainty Estimation for Deep Neural Networks Richard E. Harang Ethan M. Rudd BDL UQCV 83 6 0 29 Oct 2018
Gaussian Process Prior Variational Autoencoders F. P. Casale Adrian Dalca Luca Saglietti Jennifer Listgarten Nicolò Fusi BDL CML 75 139 0 28 Oct 2018
Resampled Priors for Variational Autoencoders Matthias Bauer A. Mnih BDL DRL 122 111 0 26 Oct 2018
Good Initializations of Variational Bayes for Deep Models Simone Rossi Pietro Michiardi Maurizio Filippone BDL 130 22 0 18 Oct 2018
Metropolis-Hastings view on variational inference and adversarial training Kirill Neklyudov Evgenii Egorov Pavel Shvechikov Dmitry Vetrov GAN 83 13 0 16 Oct 2018
The Deep Weight Prior Andrei Atanov Arsenii Ashukha Kirill Struminsky Dmitry Vetrov Max Welling BDL 125 37 0 16 Oct 2018
Doubly Reparameterized Gradient Estimators for Monte Carlo Objectives George Tucker Dieterich Lawson S. Gu Chris J. Maddison BDL 91 110 0 09 Oct 2018
Deep Diffeomorphic Normalizing Flows Hadi Salman Payman Yadollahpour Tom Fletcher N. Batmanghelich 78 27 0 08 Oct 2018
Deep Generative Video Compression Jun Han Salvator Lombardo Christopher Schroers Stephan Mandt VGen 87 58 0 05 Oct 2018
WAIC, but Why? Generative Ensembles for Robust Anomaly Detection Hyun-Jae Choi Eric Jang Alexander A. Alemi OODD 114 82 0 02 Oct 2018
FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models Will Grathwohl Ricky T. Q. Chen J. Bettencourt Ilya Sutskever David Duvenaud DRL 169 883 0 02 Oct 2018
Taming VAEs Danilo Jimenez Rezende Fabio Viola DRL CML 72 186 0 01 Oct 2018
Generative replay with feedback connections as a general strategy for continual learning Gido M. van de Ven A. Tolias CLL KELM 107 226 0 27 Sep 2018
Boosting Trust Region Policy Optimization by Normalizing Flows Policy Yunhao Tang Shipra Agrawal TPM 110 31 0 27 Sep 2018
Monge-Ampère Flow for Generative Modeling Linfeng Zhang E. Weinan Lei Wang DRL 97 63 0 26 Sep 2018
InfoSSM: Interpretable Unsupervised Learning of Nonparametric State-Space Model for Multi-modal Dynamics Young-Jin Park Han-Lim Choi 23 0 0 19 Sep 2018
Predictive Collective Variable Discovery with Deep Bayesian Models M. Schöberl N. Zabaras P. Koutsourelakis 66 34 0 18 Sep 2018
Variational Autoencoder with Implicit Optimal Priors Hiroshi Takahashi Tomoharu Iwata Yuki Yamanaka Masanori Yamada Satoshi Yagi DRL 107 65 0 14 Sep 2018
Discriminator-Actor-Critic: Addressing Sample Inefficiency and Reward Bias in Adversarial Imitation Learning Ilya Kostrikov Kumar Krishna Agrawal Debidatta Dwibedi Sergey Levine Jonathan Tompson 111 259 0 09 Sep 2018
Exploiting Invertible Decoders for Unsupervised Sentence Representation Learning Shuai Tang V. D. Sa SSL 51 1 0 08 Sep 2018
Improving Explorability in Variational Inference with Annealed Variational Objectives Chin-Wei Huang Shawn Tan Alexandre Lacoste Aaron Courville DRL 52 48 0 06 Sep 2018
Stochastic Particle-Optimization Sampling and the Non-Asymptotic Convergence Theory Jianyi Zhang Ruiyi Zhang Lawrence Carin Changyou Chen 146 46 0 05 Sep 2018
Unsupervised Learning of Syntactic Structure with Invertible Neural Projections Junxian He Graham Neubig Taylor Berg-Kirkpatrick BDL 57 41 0 28 Aug 2018