Composing graphical models with neural networks for structured representations and fast inference

20 March 2016

Matthew J. Johnson

David Duvenaud

Alexander B. Wiltschko

Papers citing "Composing graphical models with neural networks for structured representations and fast inference"

46 / 96 papers shown

Title
Time2Graph: Revisiting Time Series Modeling with Dynamic Shapelets Ziqiang Cheng Yang Yang Wei Wang Wenjie Hu Yueting Zhuang Guojie Song AI4TS 19 61 0 11 Nov 2019
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI Alejandro Barredo Arrieta Natalia Díaz Rodríguez Javier Del Ser Adrien Bennetot Siham Tabik ... S. Gil-Lopez Daniel Molina Richard Benjamins Raja Chatila Francisco Herrera XAI 41 6,119 0 22 Oct 2019
Collapsed Amortized Variational Inference for Switching Nonlinear Dynamical Systems Zhe Dong Bryan Seybold Kevin Patrick Murphy Hung Bui BDL 32 30 0 21 Oct 2019
Neuro-SERKET: Development of Integrative Cognitive System through the Composition of Deep Probabilistic Generative Models T. Taniguchi Tomoaki Nakamura Masahiro Suzuki Ryo Kuniyasu Kaede Hayashi Akira Taniguchi Takato Horii Takayuki Nagai BDL DRL 27 48 0 20 Oct 2019
Increasing Expressivity of a Hyperspherical VAE Tim R. Davidson Jakub M. Tomczak E. Gavves 11 6 0 07 Oct 2019
The Differentiable Cross-Entropy Method Brandon Amos Denis Yarats 34 54 0 27 Sep 2019
An Unsupervised Bayesian Neural Network for Truth Discovery in Social Networks Jielong Yang Wee Peng Tay BDL 21 8 0 25 Jun 2019
Recurrent Neural Processes Timon Willi Jonathan Masci Jürgen Schmidhuber Christian Osendorfer BDL 18 18 0 13 Jun 2019
Correlated Variational Auto-Encoders Da Tang Dawen Liang Tony Jebara Nicholas Ruozzi CML GNN 24 21 0 14 May 2019
A RAD approach to deep mixture models Laurent Dinh Jascha Narain Sohl-Dickstein Hugo Larochelle Razvan Pascanu 22 45 0 18 Mar 2019
Using Causal Analysis to Learn Specifications from Task Demonstrations Daniel Angelov Yordan V. Hristov S. Ramamoorthy CML 26 19 0 04 Mar 2019
Bidirectional Inference Networks: A Class of Deep Bayesian Networks for Health Profiling Hao Wang Chengzhi Mao Hao He Mingmin Zhao Tommi Jaakkola Dina Katabi BDL 24 22 0 06 Feb 2019
Practical Lossless Compression with Latent Variables using Bits Back Coding James Townsend Thomas Bird David Barber DRL 16 138 0 15 Jan 2019
A General Method for Amortizing Variational Filtering Joseph Marino Milan Cvitkovic Yisong Yue 27 34 0 13 Nov 2018
Semi-crowdsourced Clustering with Deep Generative Models Yucen Luo Tian Tian Jiaxin Shi Jun Zhu Bo Zhang 20 18 0 29 Oct 2018
The LORACs prior for VAEs: Letting the Trees Speak for the Data Sharad Vikram Matthew D. Hoffman Matthew J. Johnson CML BDL 19 15 0 16 Oct 2018
SOLAR: Deep Structured Representations for Model-Based Reinforcement Learning Marvin Zhang Sharad Vikram Laura M. Smith Pieter Abbeel Matthew J. Johnson Sergey Levine OffRL 23 41 0 28 Aug 2018
Unsupervised Word Segmentation from Speech with Attention Pierre Godard Marcely Zanon Boito Lucas Ondel Alexandre Berard François Yvon Aline Villavicencio Laurent Besacier 18 27 0 18 Jun 2018
Probabilistic Model-Agnostic Meta-Learning Chelsea Finn Kelvin Xu Sergey Levine BDL 176 666 0 07 Jun 2018
Approximate Bayesian inference in spatial environments Atanas Mirchev Baris Kayalibay Maximilian Soelch Patrick van der Smagt Justin Bayer BDL 16 22 0 18 May 2018
Structured Disentangled Representations Babak Esmaeili Hao Wu Sarthak Jain Alican Bozkurt N. Siddharth Brooks Paige Dana H. Brooks Jennifer Dy Jan-Willem van de Meent OOD CML BDL DRL 33 165 0 06 Apr 2018
Natural Gradients in Practice: Non-Conjugate Variational Inference in Gaussian Process Models Hugh Salimbeni Stefanos Eleftheriadis J. Hensman BDL 25 85 0 24 Mar 2018
Probabilistic Video Generation using Holistic Attribute Control Jiawei He Andreas M. Lehrmann Joseph Marino Greg Mori Leonid Sigal VGen DiffM DRL 22 77 0 21 Mar 2018
Generating Multi-Agent Trajectories using Programmatic Weak Supervision Eric Zhan Stephan Zheng Yisong Yue Long Sha P. Lucey 25 88 0 20 Mar 2018
Variational Message Passing with Structured Inference Networks Wu Lin Nicolas Hubacher Mohammad Emtiyaz Khan BDL 31 54 0 15 Mar 2018
Bayesian Models for Unit Discovery on a Very Low Resource Language Lucas Ondel Pierre Godard Laurent Besacier Elin Larsen M. Hasegawa-Johnson O. Scharenborg Emmanuel Dupoux L. Burget François Yvon Sanjeev Khudanpur 26 18 0 16 Feb 2018
Semi-Amortized Variational Autoencoders Yoon Kim Sam Wiseman Andrew C. Miller David Sontag Alexander M. Rush BDL DRL 33 243 0 07 Feb 2018
Transformation Autoregressive Networks Junier B. Oliva Kumar Avinava Dubey Manzil Zaheer Barnabás Póczós Ruslan Salakhutdinov Eric Xing J. Schneider OOD 28 86 0 30 Jan 2018
Symbol Emergence in Cognitive Developmental Systems: a Survey T. Taniguchi Emre Ugur Matej Hoffmann L. Jamone Takayuki Nagai ... Toshihiko Matsuka N. Iwahashi Erhan Öztop J. Piater F. Worgotter 28 90 0 26 Jan 2018
Deep generative models of genetic variation capture mutation effects Adam J. Riesselman John Ingraham D. Marks DRL BDL 21 23 0 18 Dec 2017
Faithful Inversion of Generative Models for Effective Amortized Inference Stefan Webb Adam Goliñski R. Zinkov Siddharth Narayanaswamy Tom Rainforth Yee Whye Teh Frank Wood TPM 51 46 0 01 Dec 2017
TensorFlow Distributions Joshua V. Dillon I. Langmore Dustin Tran E. Brevdo Srinivas Vasudevan David A. Moore Brian Patton Alexander A. Alemi Matt Hoffman Rif A. Saurous GP 46 346 0 28 Nov 2017
On Unifying Deep Generative Models Zhiting Hu Zichao Yang Ruslan Salakhutdinov Eric Xing DRL GAN 41 127 0 02 Jun 2017
Learning Disentangled Representations with Semi-Supervised Deep Generative Models Siddharth Narayanaswamy Brooks Paige Jan-Willem van de Meent Alban Desmaison Noah D. Goodman Pushmeet Kohli Frank Wood Philip Torr DRL CoGe 30 359 0 01 Jun 2017
Contextual Explanation Networks Maruan Al-Shedivat Kumar Avinava Dubey Eric Xing CML 37 82 0 29 May 2017
Stochastic Sequential Neural Networks with Structured Inference Hao Liu Haoli Bai Lirong He Zenglin Xu BDL 23 3 0 24 May 2017
Pixel Deconvolutional Networks Hongyang Gao Hao Yuan Zhengyang Wang Shuiwang Ji SSeg 19 46 0 18 May 2017
Multimodal Prediction and Personalization of Photo Edits with Deep Generative Models A. Saeedi Matthew D. Hoffman S. DiVerdi Asma Ghandeharioun Matthew J. Johnson Ryan P. Adams DiffM 29 9 0 17 Apr 2017
OptNet: Differentiable Optimization as a Layer in Neural Networks Brandon Amos J. Zico Kolter 24 946 0 01 Mar 2017
Deep Quantization: Encoding Convolutional Activations with Deep Generative Model Zhaofan Qiu Ting Yao Tao Mei DRL MQ 32 59 0 29 Nov 2016
Edward: A library for probabilistic modeling, inference, and criticism Dustin Tran A. Kucukelbir Adji Bousso Dieng Maja R. Rudolph Dawen Liang David M. Blei 16 300 0 31 Oct 2016
Recurrent switching linear dynamical systems Scott W. Linderman Andrew C. Miller Ryan P. Adams David M. Blei Liam Paninski Matthew J. Johnson 36 69 0 26 Oct 2016
Structured Inference Networks for Nonlinear State Space Models Rahul G. Krishnan Uri Shalit David Sontag BDL 22 452 0 30 Sep 2016
Discrete Variational Autoencoders J. Rolfe BDL DRL 35 254 0 07 Sep 2016
Linear dynamical neural population models through nonlinear embeddings Yuanjun Gao Evan Archer Liam Paninski John P. Cunningham 24 155 0 26 May 2016
Automatic differentiation in machine learning: a survey A. G. Baydin Barak A. Pearlmutter Alexey Radul J. Siskind PINN AI4CE ODL 75 2,751 0 20 Feb 2015