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Sylvester Normalizing Flows for Variational Inference

15 March 2018

Papers citing "Sylvester Normalizing Flows for Variational Inference"

50 / 161 papers shown

Title
Stochastic Normalizing Flows Liam Hodgkinson Christopher van der Heide Fred Roosta Michael W. Mahoney BDL 53 1 0 21 Feb 2020
Learning Bijective Feature Maps for Linear ICA A. Camuto M. Willetts Brooks Paige Chris Holmes Stephen J. Roberts 46 3 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 110 89 0 17 Feb 2020
Stochastic Normalizing Flows Hao Wu Jonas Köhler Frank Noé 152 186 0 16 Feb 2020
Hypernetwork approach to generating point clouds Przemysław Spurek Sebastian Winczowski Jacek Tabor M. Zamorski Maciej Ziȩba Tomasz Trzciñski 3DPC 118 34 0 10 Feb 2020
Variational Item Response Theory: Fast, Accurate, and Expressive Mike Wu R. Davis B. Domingue Chris Piech Noah D. Goodman OffRL 107 55 0 01 Feb 2020
Semi-supervised Grasp Detection by Representation Learning in a Vector Quantized Latent Space Mridul Mahajan Tryambak Bhattacharjee Arya Krishnan Priya Shukla G. C. Nandi DRL SSL 41 3 0 23 Jan 2020
The Usual Suspects? Reassessing Blame for VAE Posterior Collapse Bin Dai Ziyu Wang David Wipf DRL 97 76 0 23 Dec 2019
HCNAF: Hyper-Conditioned Neural Autoregressive Flow and its Application for Probabilistic Occupancy Map Forecasting Geunseob Oh Jean-Sebastien Valois BDL 68 12 0 17 Dec 2019
Neural Networks with Cheap Differential Operators Ricky T. Q. Chen David Duvenaud 67 35 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 219 1,722 0 05 Dec 2019
WaveFlow: A Compact Flow-based Model for Raw Audio Ming-Yu Liu Kainan Peng Kexin Zhao Z. Song 102 117 0 03 Dec 2019
Learning Likelihoods with Conditional Normalizing Flows Christina Winkler Daniel E. Worrall Emiel Hoogeboom Max Welling TPM 280 226 0 29 Nov 2019
Improving VAE generations of multimodal data through data-dependent conditional priors Frantzeska Lavda Magda Gregorova Alexandros Kalousis 29 4 0 25 Nov 2019
Variational Autoencoders for Generative Modelling of Water Cherenkov Detectors Abhishek Abhishek W. Fedorko P. Perio N. Prouse J. Ding DRL 19 2 0 01 Nov 2019
Neural Density Estimation and Likelihood-free Inference George Papamakarios BDL DRL 100 47 0 29 Oct 2019
Unsupervised Out-of-Distribution Detection with Batch Normalization Jiaming Song Yang Song Stefano Ermon OODD 69 22 0 21 Oct 2019
High Mutual Information in Representation Learning with Symmetric Variational Inference M. Livne Kevin Swersky David J. Fleet SSL DRL 58 0 0 04 Oct 2019
Relaxing Bijectivity Constraints with Continuously Indexed Normalising Flows R. Cornish Anthony L. Caterini George Deligiannidis Arnaud Doucet 50 3 0 30 Sep 2019
Trivializations for Gradient-Based Optimization on Manifolds Mario Lezcano Casado 125 128 0 20 Sep 2019
Towards Interpretable Polyphonic Transcription with Invertible Neural Networks Rainer Kelz Gerhard Widmer 41 15 0 04 Sep 2019
Normalizing Flows: An Introduction and Review of Current Methods I. Kobyzev S. Prince Marcus A. Brubaker TPM MedIm 100 58 0 25 Aug 2019
Conditional Flow Variational Autoencoders for Structured Sequence Prediction Apratim Bhattacharyya M. Hanselmann Mario Fritz Bernt Schiele C. Straehle BDL DRL AI4TS 98 86 0 24 Aug 2019
Calibration of Deep Probabilistic Models with Decoupled Bayesian Neural Networks Juan Maroñas Roberto Paredes Palacios D. Ramos-Castro UQCV BDL 102 24 0 23 Aug 2019
Unconstrained Monotonic Neural Networks Antoine Wehenkel Gilles Louppe TPM 260 150 0 14 Aug 2019
Variational Bayes on Manifolds Minh-Ngoc Tran D. Nguyen Duy Nguyen 109 23 0 08 Aug 2019
GENESIS: Generative Scene Inference and Sampling with Object-Centric Latent Representations Martin Engelcke Adam R. Kosiorek Oiwi Parker Jones Ingmar Posner OCL 175 308 0 30 Jul 2019
MintNet: Building Invertible Neural Networks with Masked Convolutions Yang Song Chenlin Meng Stefano Ermon 52 68 0 18 Jul 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 148 672 0 28 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
An Introduction to Variational Autoencoders Diederik P. Kingma Max Welling BDL SSL DRL 134 2,384 0 06 Jun 2019
Cubic-Spline Flows Conor Durkan Artur Bekasov Iain Murray George Papamakarios TPM 104 58 0 05 Jun 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
AlignFlow: Cycle Consistent Learning from Multiple Domains via Normalizing Flows Aditya Grover Christopher Chute Rui Shu Zhangjie Cao Stefano Ermon OOD DRL 56 67 0 30 May 2019
Walsh-Hadamard Variational Inference for Bayesian Deep Learning Simone Rossi Sébastien Marmin Maurizio Filippone BDL 101 16 0 27 May 2019
Generative Latent Flow Zhisheng Xiao Qing Yan Y. Amit DRL 58 15 0 24 May 2019
Integer Discrete Flows and Lossless Compression Emiel Hoogeboom Jorn W. T. Peters Rianne van den Berg Max Welling 165 160 0 17 May 2019
Sum-of-Squares Polynomial Flow P. Jaini Kira A. Selby Yaoliang Yu TPM 96 143 0 07 May 2019
Semi-Conditional Normalizing Flows for Semi-Supervised Learning Andrei Atanov Alexandra Volokhova Arsenii Ashukha Ivan Sosnovik Dmitry Vetrov BDL 96 42 0 01 May 2019
Effective Estimation of Deep Generative Language Models Tom Pelsmaeker Wilker Aziz BDL 92 28 0 17 Apr 2019
Copula-like Variational Inference Marcel Hirt P. Dellaportas Alain Durmus 38 5 0 15 Apr 2019
Block Neural Autoregressive Flow Nicola De Cao Ivan Titov Wilker Aziz DRL 83 125 0 09 Apr 2019
Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling P. Wang William Yang Wang DRL 95 27 0 04 Apr 2019
Generalized Variational Inference: Three arguments for deriving new Posteriors Jeremias Knoblauch Jack Jewson Theodoros Damoulas DRL BDL 109 106 0 03 Apr 2019
Diagnosing and Enhancing VAE Models Bin Dai David Wipf DRL 101 381 0 14 Mar 2019
Manifold Optimization Assisted Gaussian Variational Approximation Bingxin Zhou Junbin Gao Minh-Ngoc Tran Richard Gerlach 67 6 0 11 Feb 2019
TzK: Flow-Based Conditional Generative Model M. Livne David Fleet VLM DRL AI4CE 23 0 0 05 Feb 2019
Emerging Convolutions for Generative Normalizing Flows Emiel Hoogeboom Rianne van den Berg Max Welling DRL 130 98 0 30 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