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Decision-Making with Auto-Encoding Variational Bayes

17 February 2020

Romain Lopez

Pierre Boyeau

Nir Yosef

Michael I. Jordan

Jeffrey Regier

BDL

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Papers citing "Decision-Making with Auto-Encoding Variational Bayes"

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Title
A Deep Optimization Approach for Image Deconvolution Zhijian Luo Siyu Chen Y. Qian 24 1 0 16 Apr 2019
Deep Comprehensive Correlation Mining for Image Clustering Jianlong Wu Keyu Long Fei Wang Chao Qian Cheng Li Zhouchen Lin H. Zha 67 161 0 15 Apr 2019
Biphasic Learning of GANs for High-Resolution Image-to-Image Translation Jie Cao Huaibo Huang Yi Li Jingtuo Liu Ran He Zhenan Sun GAN 65 4 0 14 Apr 2019
Towards Photographic Image Manipulation with Balanced Growing of Generative Autoencoders Ari Heljakka Arno Solin Arno Solin DRL CVBM 81 15 0 12 Apr 2019
Max-Sliced Wasserstein Distance and its use for GANs Ishani Deshpande Yuan-Ting Hu Ruoyu Sun A. Pyrros Nasir Siddiqui Oluwasanmi Koyejo Zhizhen Zhao David A. Forsyth Alex Schwing GAN 64 201 0 11 Apr 2019
Expressive Body Capture: 3D Hands, Face, and Body from a Single Image Georgios Pavlakos Vasileios Choutas N. Ghorbani Timo Bolkart Ahmed A. A. Osman Dimitrios Tzionas Michael J. Black 3DH 68 1,728 0 11 Apr 2019
Sliced Wasserstein Generative Models Jiqing Wu Zhiwu Huang Dinesh Acharya Wen Li Janine Thoma D. Paudel Luc Van Gool DiffM 133 126 0 10 Apr 2019
Scanner Invariant Representations for Diffusion MRI Harmonization Daniel Moyer Greg Ver Steeg C. Tax P. Thompson MedIm DiffM 74 111 0 10 Apr 2019
A Selective Overview of Deep Learning Jianqing Fan Cong Ma Yiqiao Zhong BDL VLM 198 135 0 10 Apr 2019
Multi-Agent Tensor Fusion for Contextual Trajectory Prediction Tianyang Zhao Yifei Xu Mathew Monfort Wongun Choi Chris L. Baker Yibiao Zhao Yizhou Wang Ying Nian Wu 56 400 0 09 Apr 2019
Block Neural Autoregressive Flow Nicola De Cao Ivan Titov Wilker Aziz DRL 74 125 0 09 Apr 2019
Bayesian Subspace Hidden Markov Model for Acoustic Unit Discovery Lucas Ondel Hari Krishna Vydana L. Burget J. Černocký BDL 54 19 0 08 Apr 2019
Unsupervised Dialog Structure Learning Weiyan Shi Tiancheng Zhao Zhou Yu DRL 72 44 0 07 Apr 2019
SEQ^3: Differentiable Sequence-to-Sequence-to-Sequence Autoencoder for Unsupervised Abstractive Sentence Compression Christos Baziotis Ion Androutsopoulos Ioannis Konstas Alexandros Potamianos 69 83 0 07 Apr 2019
Learning Problem-agnostic Speech Representations from Multiple Self-supervised Tasks Santiago Pascual Mirco Ravanelli Joan Serrà Antonio Bonafonte Yoshua Bengio SSL 129 251 0 06 Apr 2019
A Variational Auto-Encoder Model for Stochastic Point Processes Nazanin Mehrasa Akash Abdu Jyothi Thibaut Durand Jiawei He Leonid Sigal Greg Mori DRL 54 58 0 05 Apr 2019
A Learned Representation for Scalable Vector Graphics Raphael Gontijo-Lopes David R Ha Douglas Eck Jonathon Shlens GAN OCL 76 118 0 04 Apr 2019
A Multi-Task Approach for Disentangling Syntax and Semantics in Sentence Representations Mingda Chen Qingming Tang Sam Wiseman Kevin Gimpel DRL 92 76 0 02 Apr 2019
UVA: A Universal Variational Framework for Continuous Age Analysis Peipei Li Huaibo Huang Yibo Hu Xiang Wu Ran He Zhenan Sun CVBM 22 2 0 30 Mar 2019
How to pick the domain randomization parameters for sim-to-real transfer of reinforcement learning policies? Q. Vuong Sharad Vikram H. Su Sicun Gao Henrik I. Christensen OOD 79 49 0 28 Mar 2019
GAN-based Pose-aware Regulation for Video-based Person Re-identification A. Borgia Yang Hua Elyor Kodirov N. Robertson 45 11 0 27 Mar 2019
MeshGAN: Non-linear 3D Morphable Models of Faces Shiyang Cheng M. Bronstein Yuxiang Zhou I. Kotsia Maja Pantic Stefanos Zafeiriou CVBM 3DH GAN 72 81 0 25 Mar 2019
Robust Reference Frame Extraction from Unsteady 2D Vector Fields with Convolutional Neural Networks Byungsoo Kim Tobias Günther 3DPC 38 43 0 25 Mar 2019
TTR-Based Reward for Reinforcement Learning with Implicit Model Priors Xubo Lyu Mo Chen OffRL 38 3 0 23 Mar 2019
Disentangled Representation Learning in Cardiac Image Analysis A. Chartsias T. Joyce G. Papanastasiou M. Williams D. Newby R. Dharmakumar Sotirios A. Tsaftaris DRL 133 128 0 22 Mar 2019
Multi-modal Probabilistic Prediction of Interactive Behavior via an Interpretable Model Yeping Hu Wei Zhan Liting Sun Masayoshi Tomizuka 77 45 0 22 Mar 2019
GEE: A Gradient-based Explainable Variational Autoencoder for Network Anomaly Detection Q. Nguyen Kar Wai Lim D. Divakaran K. H. Low M. Chan DRL 61 137 0 15 Mar 2019
Functional Variational Bayesian Neural Networks Shengyang Sun Guodong Zhang Jiaxin Shi Roger C. Grosse BDL 65 241 0 14 Mar 2019
DeepOBS: A Deep Learning Optimizer Benchmark Suite Frank Schneider Lukas Balles Philipp Hennig ODL 124 71 0 13 Mar 2019
Variational Bayesian Optimal Experimental Design Adam Foster M. Jankowiak Eli Bingham Paul Horsfall Yee Whye Teh Tom Rainforth Noah D. Goodman 99 140 0 13 Mar 2019
Elements of Sequential Monte Carlo C. A. Naesseth Fredrik Lindsten Thomas B. Schon 75 97 0 12 Mar 2019
$β^3$ -IRT: A New Item Response Model and its Applications Yu Chen Telmo de Menezes e Silva Filho R. Prudêncio Tom Diethe Peter A. Flach 123 30 0 10 Mar 2019
Orthogonal Estimation of Wasserstein Distances Mark Rowland Jiri Hron Yunhao Tang K. Choromanski Tamás Sarlós Adrian Weller 91 43 0 09 Mar 2019
NeuTra-lizing Bad Geometry in Hamiltonian Monte Carlo Using Neural Transport Matthew Hoffman Pavel Sountsov Joshua V. Dillon I. Langmore Dustin Tran Srinivas Vasudevan BDL 73 108 0 09 Mar 2019
Skew-Fit: State-Covering Self-Supervised Reinforcement Learning Vitchyr H. Pong Murtaza Dalal Steven Lin Ashvin Nair Shikhar Bahl Sergey Levine OffRL SSL 114 277 0 08 Mar 2019
Continual Learning Using World Models for Pseudo-Rehearsal Nicholas A. Ketz Soheil Kolouri Praveen K. Pilly KELM CLL 48 7 0 06 Mar 2019
Generative Graph Convolutional Network for Growing Graphs Da Xu Chuanwei Ruan Kamiya Motwani Evren Körpeoglu Sushant Kumar Kannan Achan GNN 47 14 0 06 Mar 2019
Deep Random Splines for Point Process Intensity Estimation of Neural Population Data Gabriel Loaiza-Ganem Sean M. Perkins Karen E. Schroeder Mark M. Churchland John P. Cunningham 3DPC 94 14 0 06 Mar 2019
Learning Dynamics Model in Reinforcement Learning by Incorporating the Long Term Future Nan Rosemary Ke Amanpreet Singh Ahmed Touati Anirudh Goyal Yoshua Bengio Devi Parikh Dhruv Batra 78 48 0 05 Mar 2019
VideoFlow: A Conditional Flow-Based Model for Stochastic Video Generation Manoj Kumar Mohammad Babaeizadeh D. Erhan Chelsea Finn Sergey Levine Laurent Dinh Durk Kingma VGen 95 132 0 04 Mar 2019
Accelerating Training of Deep Neural Networks with a Standardization Loss Jasmine Collins Johannes Ballé Jonathon Shlens 44 3 0 03 Mar 2019
Unsupervised Bi-directional Flow-based Video Generation from one Snapshot Lu Sheng Junting Pan Jiaming Guo Jing Shao Xiaogang Wang Chen Change Loy VGen 34 8 0 03 Mar 2019
Evaluation of state representation methods in robot hand-eye coordination learning from demonstration Jun Jin Masood Dehghan Laura Petrich S. Lu Martin Jägersand 35 2 0 02 Mar 2019
Introducing Super Pseudo Panels: Application to Transport Preference Dynamics S. Borysov Jeppe Rich AI4TS 88 7 0 01 Mar 2019
Asymptotics of MAP Inference in Deep Networks Parthe Pandit Mojtaba Sahraee S. Rangan A. Fletcher 95 21 0 01 Mar 2019
Monotonic Gaussian Process for Spatio-Temporal Disease Progression Modeling in Brain Imaging Data Clément Abi-Nader N. Ayache P. Robert Marco Lorenzi 22 3 0 28 Feb 2019
How Large a Vocabulary Does Text Classification Need? A Variational Approach to Vocabulary Selection Wenhu Chen Yu-Chuan Su Yilin Shen Zhiyu Zoey Chen Xifeng Yan Wenjie Wang VLM 57 31 0 27 Feb 2019
Training Variational Autoencoders with Buffered Stochastic Variational Inference Rui Shu Hung Bui Jay Whang Stefano Ermon BDL 50 3 0 27 Feb 2019
Functional Transparency for Structured Data: a Game-Theoretic Approach Guang-He Lee Wengong Jin David Alvarez-Melis Tommi Jaakkola 67 19 0 26 Feb 2019
S-TRIGGER: Continual State Representation Learning via Self-Triggered Generative Replay Hugo Caselles-Dupré Michael Garcia Ortiz David Filliat 62 16 0 25 Feb 2019