Glow: Generative Flow with Invertible 1x1 Convolutions

9 July 2018

Diederik P. Kingma

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

50 / 1,800 papers shown

Title
VAENAR-TTS: Variational Auto-Encoder based Non-AutoRegressive Text-to-Speech Synthesis Hui Lu Zhiyong Wu Xixin Wu Xu Li Shiyin Kang Xunying Liu Helen Meng 33 12 0 07 Jul 2021
Structured Denoising Diffusion Models in Discrete State-Spaces Jacob Austin Daniel D. Johnson Jonathan Ho Daniel Tarlow Rianne van den Berg DiffM 44 865 0 07 Jul 2021
Universal Approximation for Log-concave Distributions using Well-conditioned Normalizing Flows Holden Lee Chirag Pabbaraju A. Sevekari Andrej Risteski 14 8 0 07 Jul 2021
iPOKE: Poking a Still Image for Controlled Stochastic Video Synthesis A. Blattmann Timo Milbich Michael Dorkenwald Bjorn Ommer DiffM VGen 19 41 0 06 Jul 2021
Viscos Flows: Variational Schur Conditional Sampling With Normalizing Flows Vincent Moens Aivar Sootla H. Ammar Jun Wang TPM 13 0 0 06 Jul 2021
Featurized Density Ratio Estimation Kristy Choi Madeline Liao Stefano Ermon TPM 22 22 0 05 Jul 2021
On Out-of-distribution Detection with Energy-based Models Sven Elflein Bertrand Charpentier Daniel Zügner Stephan Günnemann OODD 36 19 0 03 Jul 2021
CInC Flow: Characterizable Invertible 3x3 Convolution Sandeep Nagar M. Dufraisse Girish Varma TPM 14 3 0 03 Jul 2021
Normalizing Flow based Hidden Markov Models for Classification of Speech Phones with Explainability Anubhab Ghosh Antoine Honoré Dong Liu G. Henter S. Chatterjee 16 5 0 01 Jul 2021
Variational Diffusion Models Diederik P. Kingma Tim Salimans Ben Poole Jonathan Ho DiffM 103 1,072 0 01 Jul 2021
On the Generative Utility of Cyclic Conditionals Chang-Shu Liu Haoyue Tang Tao Qin Jintao Wang Tie-Yan Liu 42 3 0 30 Jun 2021
The Values Encoded in Machine Learning Research Abeba Birhane Pratyusha Kalluri Dallas Card William Agnew Ravit Dotan Michelle Bao 41 275 0 29 Jun 2021
Continuous Latent Process Flows Ruizhi Deng Marcus A. Brubaker Greg Mori Andreas M. Lehrmann AI4TS 29 17 0 29 Jun 2021
A Survey on Neural Speech Synthesis Xu Tan Tao Qin Frank Soong Tie-Yan Liu AI4TS 23 353 0 29 Jun 2021
Transflower: probabilistic autoregressive dance generation with multimodal attention Guillermo Valle Pérez G. Henter Jonas Beskow A. Holzapfel Pierre-Yves Oudeyer Simon Alexanderson 37 43 0 25 Jun 2021
NP-DRAW: A Non-Parametric Structured Latent Variable Model for Image Generation Xiaohui Zeng R. Urtasun R. Zemel Sanja Fidler Renjie Liao DiffM 13 2 0 25 Jun 2021
Generative Modeling for Multi-task Visual Learning Zhipeng Bao M. Hebert Yu-xiong Wang 22 17 0 25 Jun 2021
Decomposed Mutual Information Estimation for Contrastive Representation Learning Alessandro Sordoni Nouha Dziri Hannes Schulz Geoffrey J. Gordon Philip Bachman Rémi Tachet des Combes SSL 24 30 0 25 Jun 2021
Task-agnostic Continual Learning with Hybrid Probabilistic Models Polina Kirichenko Mehrdad Farajtabar Dushyant Rao Balaji Lakshminarayanan Nir Levine Ang Li Huiyi Hu A. Wilson Razvan Pascanu VLM BDL CLL 27 19 0 24 Jun 2021
Sparse Flows: Pruning Continuous-depth Models Lucas Liebenwein Ramin Hasani Alexander Amini Daniela Rus 31 16 0 24 Jun 2021
Distilling the Knowledge from Conditional Normalizing Flows Dmitry Baranchuk Vladimir Aliev Artem Babenko BDL 36 2 0 24 Jun 2021
Feature Alignment as a Generative Process T. S. Farias Jonas Maziero DiffM BDL 37 1 0 23 Jun 2021
Instance-Optimal Compressed Sensing via Posterior Sampling A. Jalal Sushrut Karmalkar A. Dimakis Eric Price 28 51 0 21 Jun 2021
Understanding Object Dynamics for Interactive Image-to-Video Synthesis A. Blattmann Timo Milbich Michael Dorkenwald Bjorn Ommer DiffM VGen 27 39 0 21 Jun 2021
Approximation capabilities of measure-preserving neural networks Aiqing Zhu Pengzhan Jin Yifa Tang 34 8 0 21 Jun 2021
Low-rank Characteristic Tensor Density Estimation Part II: Compression and Latent Density Estimation Magda Amiridi Nikos Kargas N. Sidiropoulos 21 10 0 20 Jun 2021
Deep Generative Learning via Schrödinger Bridge Gefei Wang Yuling Jiao Qiang Xu Yang Wang Can Yang DiffM OT 25 93 0 19 Jun 2021
Scaling-up Diverse Orthogonal Convolutional Networks with a Paraunitary Framework Jiahao Su Wonmin Byeon Furong Huang 25 9 0 16 Jun 2021
Cascading Modular Network (CAM-Net) for Multimodal Image Synthesis Shichong Peng Alireza Moazeni Ke Li GAN 24 0 0 16 Jun 2021
A Flow-Based Neural Network for Time Domain Speech Enhancement Martin Strauss B. Edler 23 33 0 16 Jun 2021
Invertible Attention Jiajun Zha Yiran Zhong Jing Zhang Richard I. Hartley Liang Zheng 21 7 0 16 Jun 2021
Improving the expressiveness of neural vocoding with non-affine Normalizing Flows Adam Gabry's Yunlong Jiao V. Klimkov Daniel Korzekwa Roberto Barra-Chicote 29 1 0 16 Jun 2021
WSRGlow: A Glow-based Waveform Generative Model for Audio Super-Resolution Kexun Zhang Yi Ren Changliang Xu Zhou Zhao 51 29 0 16 Jun 2021
Multi-Resolution Continuous Normalizing Flows Vikram S. Voleti Chris Finlay Adam M. Oberman Christopher Pal 35 4 0 15 Jun 2021
Generating Data Augmentation samples for Semantic Segmentation of Salt Bodies in a Synthetic Seismic Image Dataset Luis Felipe M.O. Henriques S. Colcher Ruy Luiz Milidiú A. Bulcão Pablo Barros 19 2 0 15 Jun 2021
Towards Total Recall in Industrial Anomaly Detection Karsten Roth Latha Pemula J. Zepeda Bernhard Schölkopf Thomas Brox Peter V. Gehler UQCV 39 877 0 15 Jun 2021
Robust Out-of-Distribution Detection on Deep Probabilistic Generative Models Jaemoo Choi Changyeon Yoon Jeongwoo Bae Myung-joo Kang OODD 35 4 0 15 Jun 2021
Divergence Frontiers for Generative Models: Sample Complexity, Quantization Effects, and Frontier Integrals Lang Liu Krishna Pillutla Sean Welleck Sewoong Oh Yejin Choi Zaïd Harchaoui MQ 33 14 0 15 Jun 2021
Non Gaussian Denoising Diffusion Models Eliya Nachmani Robin San Roman Lior Wolf VLM DiffM 35 48 0 14 Jun 2021
Understanding Latent Correlation-Based Multiview Learning and Self-Supervision: An Identifiability Perspective Qinjie Lyu Xiao Fu Weiran Wang Songtao Lu SSL 23 30 0 14 Jun 2021
The DEformer: An Order-Agnostic Distribution Estimating Transformer Michael A. Alcorn Anh Totti Nguyen 19 4 0 13 Jun 2021
Do Not Escape From the Manifold: Discovering the Local Coordinates on the Latent Space of GANs Jaewoong Choi Junho Lee Changyeon Yoon J. Park Geonho Hwang Myung-joo Kang 32 26 0 13 Jun 2021
Coded-InvNet for Resilient Prediction Serving Systems Tuan Dinh Kangwook Lee 27 3 0 11 Jun 2021
PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Dependent Adaptive Prior Sang-gil Lee Heeseung Kim Chaehun Shin Xu Tan Chang-Shu Liu Qi Meng Tao Qin Wei Chen Sung-Hoon Yoon Tie-Yan Liu DiffM 29 82 0 11 Jun 2021
Fair Normalizing Flows Mislav Balunović Anian Ruoss Martin Vechev AAML 24 36 0 10 Jun 2021
Score-based Generative Modeling in Latent Space Arash Vahdat Karsten Kreis Jan Kautz DiffM 21 659 0 10 Jun 2021
Improving multi-speaker TTS prosody variance with a residual encoder and normalizing flows Iván Vallés-Pérez Julian Roth Grzegorz Beringer Roberto Barra-Chicote J. Droppo 39 8 0 10 Jun 2021
InFlow: Robust outlier detection utilizing Normalizing Flows Nishant Kumar Pia Hanfeld Michael Hecht Michael Bussmann Stefan Gumhold Nico Hoffmann OODD OOD TPM 29 4 0 10 Jun 2021
Tensor feature hallucination for few-shot learning Michalis Lazarou Tania Stathaki Yannis Avrithis 45 22 0 09 Jun 2021
Tractable Density Estimation on Learned Manifolds with Conformal Embedding Flows Brendan Leigh Ross Jesse C. Cresswell TPM 47 32 0 09 Jun 2021