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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
iUNets: Fully invertible U-Nets with Learnable Up- and Downsampling Christian Etmann Rihuan Ke Carola-Bibiane Schönlieb SSeg 58 19 0 11 May 2020
A review of radar-based nowcasting of precipitation and applicable machine learning techniques R. Prudden Samantha V. Adams D. Kangin Nial H. Robinson Suman V. Ravuri S. Mohamed A. Arribas AI4Cl OffRL 94 45 0 11 May 2020
Jukebox: A Generative Model for Music Prafulla Dhariwal Heewoo Jun Christine Payne Jong Wook Kim Alec Radford Ilya Sutskever VLM 171 758 0 30 Apr 2020
A Practical Framework for Relation Extraction with Noisy Labels Based on Doubly Transitional Loss Shanchan Wu Kai Fan NoLa 23 2 0 28 Apr 2020
Local Clustering with Mean Teacher for Semi-supervised Learning Zexi Chen B. Dutton B. Ramachandra Tianfu Wu Ranga Raju Vatsavai 63 7 0 20 Apr 2020
On the Encoder-Decoder Incompatibility in Variational Text Modeling and Beyond Chen Henry Wu P. Wang Wenjie Wang DRL 36 4 0 20 Apr 2020
Roundtrip: A Deep Generative Neural Density Estimator Qiao Liu Jiaze Xu R. Jiang W. Wong OT 44 4 0 20 Apr 2020
A Universal Approximation Theorem of Deep Neural Networks for Expressing Probability Distributions Yulong Lu Jianfeng Lu 40 19 0 19 Apr 2020
Einsum Networks: Fast and Scalable Learning of Tractable Probabilistic Circuits Robert Peharz Steven Braun Antonio Vergari Karl Stelzner Alejandro Molina Martin Trapp Guy Van den Broeck Kristian Kersting Zoubin Ghahramani TPM 65 126 0 13 Apr 2020
Decoupling Global and Local Representations via Invertible Generative Flows Xuezhe Ma X. Kong Shanghang Zhang Eduard H. Hovy DRL 84 3 0 12 Apr 2020
Scaling Bayesian inference of mixed multinomial logit models to very large datasets Filipe Rodrigues BDL 100 3 0 11 Apr 2020
Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation Sajad Norouzi David J. Fleet Mohammad Norouzi VLM DRL 60 3 0 09 Apr 2020
Lossless Image Compression through Super-Resolution Shengcao Cao Chaoxia Wu Philipp Krahenbuhl 74 40 0 06 Apr 2020
TraDE: Transformers for Density Estimation Rasool Fakoor Pratik Chaudhari Jonas W. Mueller Alex Smola 86 30 0 06 Apr 2020
Deep transformation models: Tackling complex regression problems with neural network based transformation models Beate Sick Torsten Hothorn Oliver Durr MedIm BDL OOD UQCV 55 29 0 01 Apr 2020
SUMO: Unbiased Estimation of Log Marginal Probability for Latent Variable Models Yucen Luo Alex Beatson Mohammad Norouzi Jun Zhu David Duvenaud Ryan P. Adams Ricky T. Q. Chen 141 29 0 01 Apr 2020
A theory of independent mechanisms for extrapolation in generative models M. Besserve Rémy Sun Dominik Janzing Bernhard Schölkopf 85 26 0 01 Apr 2020
Flows for simultaneous manifold learning and density estimation Johann Brehmer Kyle Cranmer DRL AI4CE 114 163 0 31 Mar 2020
AriEL: volume coding for sentence generation Luca Herranz-Celotti Simon Brodeur Jean Rouat 36 0 0 30 Mar 2020
Deep Learning-Based Anomaly Detection in Cyber-Physical Systems: Progress and Opportunities Yuan Luo Ya Xiao Long Cheng Guojun Peng D. Yao 82 163 0 30 Mar 2020
Variational Inference with Vine Copulas: An efficient Approach for Bayesian Computer Model Calibration Vojtech Kejzlar T. Maiti 56 6 0 28 Mar 2020
Log-Likelihood Ratio Minimizing Flows: Towards Robust and Quantifiable Neural Distribution Alignment Ben Usman Avneesh Sud Nick Dufour Kate Saenko OOD 39 13 0 26 Mar 2020
Weakly Supervised 3D Human Pose and Shape Reconstruction with Normalizing Flows Andrei Zanfir Eduard Gabriel Bazavan Hongyi Xu Bill Freeman Rahul Sukthankar C. Sminchisescu 3DH 95 136 0 23 Mar 2020
Efficient sampling generation from explicit densities via Normalizing Flows Sebastian Pina-Otey Thorsten Lux F. Sánchez Vicens Gaitán 25 0 0 23 Mar 2020
Learning Better Lossless Compression Using Lossy Compression Fabian Mentzer Luc Van Gool Michael Tschannen 146 72 0 23 Mar 2020
Deep Markov Spatio-Temporal Factorization Amirreza Farnoosh B. Rezaei Eli Sennesh Zulqarnain Khan Jennifer Dy Ajay Satpute J. B. Hutchinson Jan-Willem van de Meent Sarah Ostadabbas AI4TS 58 5 0 22 Mar 2020
DLow: Diversifying Latent Flows for Diverse Human Motion Prediction Ye Yuan Kris Kitani DiffM 124 245 0 18 Mar 2020
Energy-Based Processes for Exchangeable Data Mengjiao Yang Bo Dai H. Dai Dale Schuurmans 83 12 0 17 Mar 2020
Adversarial Encoder-Multi-Task-Decoder for Multi-Stage Processes André Mendes Julian Togelius L. Coelho 41 0 0 15 Mar 2020
B-PINNs: Bayesian Physics-Informed Neural Networks for Forward and Inverse PDE Problems with Noisy Data Liu Yang Xuhui Meng George Karniadakis PINN 247 797 0 13 Mar 2020
Generalized Energy Based Models Michael Arbel Liang Zhou Arthur Gretton DRL 179 81 0 10 Mar 2020
Variational Inference for Deep Probabilistic Canonical Correlation Analysis Mahdi Karami Dale Schuurmans BDL 21 4 0 09 Mar 2020
FormulaZero: Distributionally Robust Online Adaptation via Offline Population Synthesis Aman Sinha Matthew O'Kelly Hongrui Zheng Rahul Mangharam John C. Duchi Russ Tedrake OffRL 132 27 0 09 Mar 2020
The Variational InfoMax Learning Objective Vincenzo Crescimanna Bruce P. Graham 67 0 0 07 Mar 2020
Diverse and Admissible Trajectory Forecasting through Multimodal Context Understanding Seonguk Park Gyubok Lee Manoj Bhat Jimin Seo Minseok Kang Jonathan M Francis Ashwin R. Jadhav Paul Pu Liang Louis-Philippe Morency 216 120 0 06 Mar 2020
Gaussianization Flows Chenlin Meng Yang Song Jiaming Song Stefano Ermon 57 30 0 04 Mar 2020
Predictive Coding for Locally-Linear Control Rui Shu Tung D. Nguyen Yinlam Chow Tu Pham Khoat Than Mohammad Ghavamzadeh Stefano Ermon Hung Bui OffRL BDL 104 25 0 02 Mar 2020
Batch Stationary Distribution Estimation Junfeng Wen Bo Dai Lihong Li Dale Schuurmans OffRL 105 23 0 02 Mar 2020
RIDE: Rewarding Impact-Driven Exploration for Procedurally-Generated Environments Roberta Raileanu Tim Rocktaschel 88 174 0 27 Feb 2020
MetFlow: A New Efficient Method for Bridging the Gap between Markov Chain Monte Carlo and Variational Inference Achille Thin Nikita Kotelevskii Jean-Stanislas Denain Léo Grinsztajn Alain Durmus Maxim Panov Eric Moulines BDL 55 17 0 27 Feb 2020
Woodbury Transformations for Deep Generative Flows You Lu Bert Huang 85 16 0 27 Feb 2020
Gradient Boosted Normalizing Flows Robert Giaquinto A. Banerjee BDL DRL 31 1 0 27 Feb 2020
Composing Normalizing Flows for Inverse Problems Jay Whang Erik M. Lindgren A. Dimakis TPM 116 51 0 26 Feb 2020
ICE-BeeM: Identifiable Conditional Energy-Based Deep Models Based on Nonlinear ICA Ilyes Khemakhem R. Monti Diederik P. Kingma Aapo Hyvarinen CML 123 114 0 26 Feb 2020
Max-Affine Spline Insights into Deep Generative Networks Randall Balestriero Sébastien Paris Richard Baraniuk DRL AI4CE 47 15 0 26 Feb 2020
On Feature Normalization and Data Augmentation Boyi Li Felix Wu Ser-Nam Lim Serge J. Belongie Kilian Q. Weinberger 56 137 0 25 Feb 2020
Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows Ruizhi Deng B. Chang Marcus A. Brubaker Greg Mori Andreas M. Lehrmann 104 52 0 24 Feb 2020
VFlow: More Expressive Generative Flows with Variational Data Augmentation Jianfei Chen Cheng Lu Biqi Chenli Jun Zhu Tian Tian DRL 92 63 0 22 Feb 2020
Amortised Learning by Wake-Sleep W. Li Theodore H. Moskovitz Heishiro Kanagawa M. Sahani OOD 109 7 0 22 Feb 2020
Inductive Representation Learning on Temporal Graphs Da Xu Chuanwei Ruan Evren Körpeoglu Sushant Kumar Kannan Achan AI4CE 109 638 0 19 Feb 2020