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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
Data Selection for training Semantic Segmentation CNNs with cross-dataset weak supervision Panagiotis Meletis Rob Romijnders Gijs Dubbelman 49 4 0 16 Jul 2019
The continuous Bernoulli: fixing a pervasive error in variational autoencoders Gabriel Loaiza-Ganem John P. Cunningham DRL 128 84 0 16 Jul 2019
Variational Autoencoders and Nonlinear ICA: A Unifying Framework Ilyes Khemakhem Diederik P. Kingma Ricardo Pio Monti Aapo Hyvarinen OOD 101 599 0 10 Jul 2019
Trust-Region Variational Inference with Gaussian Mixture Models Oleg Arenz Mingjun Zhong Gerhard Neumann 80 20 0 10 Jul 2019
Tails of Lipschitz Triangular Flows P. Jaini I. Kobyzev Yaoliang Yu Marcus A. Brubaker 58 6 0 10 Jul 2019
Copula & Marginal Flows: Disentangling the Marginal from its Joint Magnus Wiese R. Knobloch R. Korn DRL 49 21 0 07 Jul 2019
Universal audio synthesizer control with normalizing flows P. Esling Naotake Masuda Adrien Bardet R. Despres Axel Chemla-Romeu-Santos 83 45 0 01 Jul 2019
Coupling techniques for nonlinear ensemble filtering Alessio Spantini Ricardo Baptista Youssef Marzouk 115 76 0 30 Jun 2019
PointFlow: 3D Point Cloud Generation with Continuous Normalizing Flows Guandao Yang Xun Huang Jinwei Gu Ming-Yuan Liu Serge J. Belongie Bharath Hariharan 3DPC 156 672 0 28 Jun 2019
Curriculum Learning for Deep Generative Models with Clustering Deli Zhao Jiapeng Zhu Zhenfang Guo Bo Zhang GNN 85 2 0 27 Jun 2019
Monte Carlo Gradient Estimation in Machine Learning S. Mohamed Mihaela Rosca Michael Figurnov A. Mnih 101 416 0 25 Jun 2019
Compound Probabilistic Context-Free Grammars for Grammar Induction Yoon Kim Chris Dyer Alexander M. Rush 116 153 0 24 Jun 2019
SampleFix: Learning to Generate Functionally Diverse Fixes Hossein Hajipour Apratim Bhattacharyya Cristian-Alexandru Staicu Mario Fritz 40 5 0 24 Jun 2019
Compositionally-Warped Gaussian Processes Gonzalo Rios Felipe A. Tobar 52 43 0 23 Jun 2019
Variational Sequential Labelers for Semi-Supervised Learning Mingda Chen Qingming Tang Karen Livescu Kevin Gimpel SSL DRL BDL VLM 82 39 0 23 Jun 2019
Learning Belief Representations for Imitation Learning in POMDPs Tanmay Gangwani Joel Lehman Qiang Liu Jian Peng 59 37 0 22 Jun 2019
Black-Box Inference for Non-Linear Latent Force Models W. Ward Tom Ryder D. Prangle Mauricio A. Alvarez DRL 80 14 0 21 Jun 2019
A Closer Look at Double Backpropagation Christian Etmann ODL 39 11 0 16 Jun 2019
Reweighted Expectation Maximization Adji Bousso Dieng John Paisley VLM DRL 70 17 0 13 Jun 2019
Copulas as High-Dimensional Generative Models: Vine Copula Autoencoders Natasa Tagasovska Damien Ackerer Thibault Vatter TPM 74 29 0 12 Jun 2019
GluonTS: Probabilistic Time Series Models in Python A. Alexandrov Konstantinos Benidis Michael Bohlke-Schneider Valentin Flunkert Jan Gasthaus ... David Salinas J. Schulz Lorenzo Stella Ali Caner Türkmen Bernie Wang BDL AI4TS 75 115 0 12 Jun 2019
Learning Symmetries of Classical Integrable Systems Roberto Bondesan A. Lamacraft 80 40 0 11 Jun 2019
Stochastic Neural Network with Kronecker Flow Chin-Wei Huang Ahmed Touati Pascal Vincent Gintare Karolina Dziugaite Alexandre Lacoste Aaron Courville BDL 67 8 0 10 Jun 2019
Neural Spline Flows Conor Durkan Artur Bekasov Iain Murray George Papamakarios DRL 233 778 0 10 Jun 2019
Effective Use of Variational Embedding Capacity in Expressive End-to-End Speech Synthesis Eric Battenberg Soroosh Mariooryad Daisy Stanton RJ Skerry-Ryan Matt Shannon David Kao Tom Bagby BDL 86 45 0 08 Jun 2019
Improving Exploration in Soft-Actor-Critic with Normalizing Flows Policies Patrick Nadeem Ward Ariella Smofsky A. Bose 79 58 0 06 Jun 2019
Residual Flows for Invertible Generative Modeling Ricky T. Q. Chen Jens Behrmann David Duvenaud J. Jacobsen BDL TPM DRL 179 378 0 06 Jun 2019
An Introduction to Variational Autoencoders Diederik P. Kingma Max Welling BDL SSL DRL 196 2,385 0 06 Jun 2019
Combining Generative and Discriminative Models for Hybrid Inference Victor Garcia Satorras Zeynep Akata Max Welling 94 57 0 06 Jun 2019
Image Synthesis with a Single (Robust) Classifier Shibani Santurkar Dimitris Tsipras Brandon Tran Andrew Ilyas Logan Engstrom Aleksander Madry AAML 64 34 0 06 Jun 2019
Cubic-Spline Flows Conor Durkan Artur Bekasov Iain Murray George Papamakarios TPM 104 58 0 05 Jun 2019
Effective LHC measurements with matrix elements and machine learning Johann Brehmer Kyle Cranmer Irina Espejo F. Kling Gilles Louppe J. Pavez 81 14 0 04 Jun 2019
Universal Boosting Variational Inference Trevor Campbell Xinglong Li 59 32 0 04 Jun 2019
Understanding the Limitations of Conditional Generative Models Ethan Fetaya J. Jacobsen Will Grathwohl R. Zemel 96 54 0 04 Jun 2019
Blow: a single-scale hyperconditioned flow for non-parallel raw-audio voice conversion Joan Serrà Santiago Pascual Carlos Segura CVBM 76 85 0 03 Jun 2019
Generating Diverse High-Fidelity Images with VQ-VAE-2 Ali Razavi Aaron van den Oord Oriol Vinyals DRL BDL 206 1,832 0 02 Jun 2019
Greedy inference with structure-exploiting lazy maps Michael C. Brennan Daniele Bigoni O. Zahm Alessio Spantini Youssef Marzouk 96 13 0 31 May 2019
On the Necessity and Effectiveness of Learning the Prior of Variational Auto-Encoder Haowen Xu Wenxiao Chen Jinlin Lai Zhihan Li Youjian Zhao Dan Pei DRL BDL 84 14 0 31 May 2019
Structured Output Learning with Conditional Generative Flows You Lu Bert Huang BDL DRL 82 73 0 30 May 2019
Graph Normalizing Flows Jenny Liu Aviral Kumar Jimmy Ba J. Kiros Kevin Swersky BDL GNN AI4CE 93 165 0 30 May 2019
AlignFlow: Cycle Consistent Learning from Multiple Domains via Normalizing Flows Aditya Grover Christopher Chute Rui Shu Zhangjie Cao Stefano Ermon OOD DRL 59 67 0 30 May 2019
Replica-exchange Nosé-Hoover dynamics for Bayesian learning on large datasets Rui Luo Qiang Zhang Yaodong Yang Jun Wang BDL 71 3 0 29 May 2019
Generative Parameter Sampler For Scalable Uncertainty Quantification Minsuk Shin Young Lee Jun S. Liu 55 0 0 28 May 2019
GraphNVP: An Invertible Flow Model for Generating Molecular Graphs Kaushalya Madhawa Katushiko Ishiguro Kosuke Nakago Motoki Abe BDL 126 193 0 28 May 2019
Validation of Approximate Likelihood and Emulator Models for Computationally Intensive Simulations Niccolò Dalmasso Ann B. Lee Rafael Izbicki T. Pospisil Ilmun Kim Chieh-An Lin 78 8 0 27 May 2019
Walsh-Hadamard Variational Inference for Bayesian Deep Learning Simone Rossi Sébastien Marmin Maurizio Filippone BDL 110 16 0 27 May 2019
ODE $^2$ VAE: Deep generative second order ODEs with Bayesian neural networks Çağatay Yıldız Markus Heinonen Harri Lähdesmäki BDL DRL 100 88 0 27 May 2019
HINT: Hierarchical Invertible Neural Transport for Density Estimation and Bayesian Inference Jakob Kruse Gianluca Detommaso Ullrich Kothe Robert Scheichl 98 45 0 25 May 2019
The Variational InfoMax AutoEncoder Vincenzo Crescimanna Bruce P. Graham DRL 66 3 0 25 May 2019
DIVA: Domain Invariant Variational Autoencoders Maximilian Ilse Jakub M. Tomczak Christos Louizos Max Welling DRL OOD 89 206 0 24 May 2019