Glow: Generative Flow with Invertible 1x1 Convolutions

9 July 2018

Diederik P. Kingma

Papers citing "Glow: Generative Flow with Invertible 1x1 Convolutions"

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Title
Improving Sample Efficiency in Model-Free Reinforcement Learning from Images Denis Yarats Amy Zhang Ilya Kostrikov Brandon Amos Joelle Pineau Rob Fergus DRL 59 441 0 02 Oct 2019
Variational Temporal Abstraction Taesup Kim Sungjin Ahn Yoshua Bengio DRL 12 65 0 02 Oct 2019
Equivariant Flows: sampling configurations for multi-body systems with symmetric energies Jonas Köhler Leon Klein Frank Noé 17 90 0 02 Oct 2019
Neural Canonical Transformation with Symplectic Flows Shuo-Hui Li Chen Dong Linfeng Zhang Lei Wang DRL 34 28 0 30 Sep 2019
Relaxing Bijectivity Constraints with Continuously Indexed Normalising Flows R. Cornish Anthony L. Caterini George Deligiannidis Arnaud Doucet 27 2 0 30 Sep 2019
Hamiltonian Generative Networks Peter Toth Danilo Jimenez Rezende Andrew Jaegle S. Racanière Aleksandar Botev I. Higgins BDL DRL AI4CE GAN 21 216 0 30 Sep 2019
Equivariant Hamiltonian Flows Danilo Jimenez Rezende S. Racanière I. Higgins Peter Toth 14 64 0 30 Sep 2019
Graph Residual Flow for Molecular Graph Generation Shion Honda Hirotaka Akita Katsuhiko Ishiguro Toshiki Nakanishi Kenta Oono 26 42 0 30 Sep 2019
Bridging Explicit and Implicit Deep Generative Models via Neural Stein Estimators Qitian Wu Rui Gao H. Zha GAN 8 5 0 28 Sep 2019
Identifying through Flows for Recovering Latent Representations Shen Li Bryan Hooi Gim Hee Lee DRL OOD 6 13 0 27 Sep 2019
Towards neural networks that provably know when they don't know Alexander Meinke Matthias Hein OODD 33 139 0 26 Sep 2019
Explicitly disentangling image content from translation and rotation with spatial-VAE Tristan Bepler Ellen D. Zhong Kotaro Kelley E. Brignole Bonnie Berger CoGe DRL 27 74 0 25 Sep 2019
Deep Learning for Deepfakes Creation and Detection: A Survey Thanh Thi Nguyen Quoc Viet Hung Nguyen Dung Nguyen D. Nguyen Thien Huynh-The S. Nahavandi Thanh Tam Nguyen Viet Quoc Pham Cu Nguyen 31 433 0 25 Sep 2019
Input complexity and out-of-distribution detection with likelihood-based generative models Joan Serrà David Álvarez Vicencc Gómez Olga Slizovskaia José F. Núñez Jordi Luque OODD 22 275 0 25 Sep 2019
Trivializations for Gradient-Based Optimization on Manifolds Mario Lezcano Casado 27 123 0 20 Sep 2019
CMTS: Conditional Multiple Trajectory Synthesizer for Generating Safety-critical Driving Scenarios Wenhao Ding Mengdi Xu Ding Zhao 35 52 0 17 Sep 2019
Flow Models for Arbitrary Conditional Likelihoods Yong Li Shoaib Akbar Junier B. Oliva OOD AI4CE 17 39 0 13 Sep 2019
Towards Generalizable Deepfake Detection with Locality-aware AutoEncoder Mengnan Du Shiva K. Pentyala Yuening Li Xia Hu 21 40 0 13 Sep 2019
Dropout Induced Noise for Co-Creative GAN Systems Sabine Wieluch Friedhelm Schwenker 22 8 0 10 Sep 2019
One-to-one Mapping for Unpaired Image-to-image Translation ZENGMING SHEN S.Kevin Zhou Yifan Chen Bogdan Georgescu Xuqi Liu Thomas S. Huang GAN 22 21 0 09 Sep 2019
Towards Learning a Self-inverse Network for Bidirectional Image-to-image Translation ZENGMING SHEN Yifan Chen S. Kevin Zhou Bogdan Georgescu Xuqi Liu Thomas S. Huang SSL MedIm 21 1 0 09 Sep 2019
AtLoc: Attention Guided Camera Localization Bing Wang Changhao Chen Chris Xiaoxuan Lu Peijun Zhao A. Trigoni Andrew Markham 27 154 0 08 Sep 2019
On the Need for Topology-Aware Generative Models for Manifold-Based Defenses Uyeong Jang Susmit Jha S. Jha AAML 33 13 0 07 Sep 2019
Set Flow: A Permutation Invariant Normalizing Flow Kashif Rasul Ingmar Schuster Roland Vollgraf Urs M. Bergmann BDL 3DPC DRL 22 5 0 06 Sep 2019
Video Interpolation and Prediction with Unsupervised Landmarks Kevin J. Shih Aysegül Dündar Animesh Garg R. Pottorf Andrew Tao Bryan Catanzaro 30 6 0 06 Sep 2019
FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow Xuezhe Ma Chunting Zhou Xian Li Graham Neubig Eduard H. Hovy AI4TS BDL 11 189 0 05 Sep 2019
Towards Interpretable Polyphonic Transcription with Invertible Neural Networks Rainer Kelz Gerhard Widmer 16 15 0 04 Sep 2019
Potential Flow Generator with $L_2$ Optimal Transport Regularity for Generative Models Liu Yang George Karniadakis OT 13 42 0 29 Aug 2019
PixelVAE++: Improved PixelVAE with Discrete Prior Hossein Sadeghi Evgeny Andriyash W. Vinci L. Buffoni Mohammad H. Amin BDL DRL 21 33 0 26 Aug 2019
Normalizing Flows: An Introduction and Review of Current Methods I. Kobyzev S. Prince Marcus A. Brubaker TPM MedIm 19 57 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 27 84 0 24 Aug 2019
Noise Flow: Noise Modeling with Conditional Normalizing Flows A. Abdelhamed Marcus A. Brubaker M. S. Brown 11 173 0 22 Aug 2019
DUAL-GLOW: Conditional Flow-Based Generative Model for Modality Transfer Haoliang Sun Ronak R. Mehta H. Zhou Z. Huang Sterling C. Johnson V. Prabhakaran Vikas Singh MedIm 31 46 0 21 Aug 2019
Survey on Deep Neural Networks in Speech and Vision Systems M. Alam Manar D. Samad Lasitha Vidyaratne Alexander M. Glandon Khan M. Iftekharuddin 3DV VLM AI4TS 34 205 0 16 Aug 2019
Unconstrained Monotonic Neural Networks Antoine Wehenkel Gilles Louppe TPM 34 146 0 14 Aug 2019
Random Sum-Product Forests with Residual Links Fabrizio G. Ventola Karl Stelzner Alejandro Molina Kristian Kersting TPM 8 2 0 08 Aug 2019
Continuous Graph Flow Zhiwei Deng Megha Nawhal Lili Meng Greg Mori 29 3 0 07 Aug 2019
Likelihood Contribution based Multi-scale Architecture for Generative Flows Hari Prasanna Das Pieter Abbeel C. Spanos DRL AI4CE 16 5 0 05 Aug 2019
Learning Densities in Feature Space for Reliable Segmentation of Indoor Scenes Nicolas Marchal Charlotte Moraldo Roland Siegwart Hermann Blum Cesar Cadena Abel Gawel 39 16 0 01 Aug 2019
Neural Network based Explicit Mixture Models and Expectation-maximization based Learning Dong Liu Minh Thành Vu S. Chatterjee L. Rasmussen 13 2 0 31 Jul 2019
Bayesian Volumetric Autoregressive generative models for better semisupervised learning Guilherme Pombo Robert J. Gray Thomas Varsavsky John Ashburner P. Nachev GAN BDL MedIm 28 6 0 26 Jul 2019
Deep Generative Quantile-Copula Models for Probabilistic Forecasting Ruofeng Wen Kari Torkkola AI4TS 8 32 0 24 Jul 2019
MadMiner: Machine learning-based inference for particle physics Johann Brehmer F. Kling Irina Espejo Kyle Cranmer 21 113 0 24 Jul 2019
Covering up bias in CelebA-like datasets with Markov blankets: A post-hoc cure for attribute prior avoidance Vinay Uday Prabhu Dian Ang Yap Alexander Wang John Whaley CML 12 6 0 22 Jul 2019
Noise Regularization for Conditional Density Estimation Jonas Rothfuss Fabio Ferreira S. Boehm Simon Walther Maxim Ulrich Tamim Asfour Andreas Krause 8 32 0 21 Jul 2019
Surfing: Iterative optimization over incrementally trained deep networks Ganlin Song Z. Fan John D. Lafferty 21 20 0 19 Jul 2019
Amortized Monte Carlo Integration Adam Goliñski Frank Wood Tom Rainforth 36 4 0 18 Jul 2019
MintNet: Building Invertible Neural Networks with Masked Convolutions Yang Song Chenlin Meng Stefano Ermon 16 68 0 18 Jul 2019
On the "steerability" of generative adversarial networks Ali Jahanian Lucy Chai Phillip Isola GAN OOD 43 397 0 16 Jul 2019
Adversarial Video Generation on Complex Datasets Aidan Clark Jeff Donahue Karen Simonyan VGen GAN 27 74 0 15 Jul 2019