Improving Variational Inference with Inverse Autoregressive Flow

15 June 2016

Papers citing "Improving Variational Inference with Inverse Autoregressive Flow"

50 / 312 papers shown

Title
A Survey of Methods, Challenges and Perspectives in Causality Gael Gendron Michael Witbrock Gillian Dobbie OOD AI4CE CML 22 12 0 01 Feb 2023
Hierarchical Disentangled Representation for Invertible Image Denoising and Beyond Wenchao Du Hu Chen Yan Zhang H. Yang 23 1 0 31 Jan 2023
HyperNeRFGAN: Hypernetwork approach to 3D NeRF GAN Adam Kania Artur Kasymov Maciej Ziȩba P. Spurek 32 9 0 27 Jan 2023
Learning Gradients of Convex Functions with Monotone Gradient Networks Shreyas Chaudhari Srinivasa Pranav J. M. F. Moura 9 6 0 25 Jan 2023
A Tale of Two Latent Flows: Learning Latent Space Normalizing Flow with Short-run Langevin Flow for Approximate Inference Jianwen Xie Y. Zhu Yifei Xu Dingcheng Li Ping Li BDL DRL 19 7 0 23 Jan 2023
A Multi-Resolution Framework for U-Nets with Applications to Hierarchical VAEs Fabian Falck Christopher Williams D. Danks George Deligiannidis C. Yau Chris Holmes Arnaud Doucet M. Willetts 16 7 0 19 Jan 2023
Do Bayesian Variational Autoencoders Know What They Don't Know? Misha Glazunov Apostolis Zarras UQCV BDL 25 5 0 29 Dec 2022
Controllable Text Generation via Probability Density Estimation in the Latent Space Yuxuan Gu Xiaocheng Feng Sicheng Ma Lingyuan Zhang Heng Gong Weihong Zhong Bing Qin 19 18 0 16 Dec 2022
Variational Laplace Autoencoders Yookoon Park C. Kim Gunhee Kim BDL DRL 26 21 0 30 Nov 2022
Waveflow: Enforcing boundary conditions in smooth normalizing flows with application to fermionic wave functions Luca Thiede Chong Sun A. Aspuru‐Guzik 24 1 0 27 Nov 2022
$β$ -Multivariational Autoencoder for Entangled Representation Learning in Video Frames F. Nouri R. Bergevin 16 0 0 22 Nov 2022
Towards continually learning new languages Ngoc-Quan Pham J. Niehues A. Waibel CLL 11 1 0 21 Nov 2022
Interpretable Self-Aware Neural Networks for Robust Trajectory Prediction Masha Itkina Mykel J. Kochenderfer EDL UQCV 14 26 0 16 Nov 2022
Normalizing Flows for Hierarchical Bayesian Analysis: A Gravitational Wave Population Study David Ruhe Kaze W. K. Wong M. Cranmer Patrick Forré 16 6 0 15 Nov 2022
CEIP: Combining Explicit and Implicit Priors for Reinforcement Learning with Demonstrations Kai Yan A. Schwing Yu-xiong Wang OffRL 28 2 0 18 Oct 2022
Tackling Instance-Dependent Label Noise with Dynamic Distribution Calibration Manyi Zhang Yuxin Ren Zihao W. Wang C. Yuan 21 3 0 11 Oct 2022
Invertible Rescaling Network and Its Extensions Mingqing Xiao Shuxin Zheng Chang-Shu Liu Zhouchen Lin Tie-Yan Liu 24 26 0 09 Oct 2022
Optimization of Annealed Importance Sampling Hyperparameters Shirin Goshtasbpour F. Pérez-Cruz 24 1 0 27 Sep 2022
Learning to Drop Out: An Adversarial Approach to Training Sequence VAEs Ðorðe Miladinovic Kumar Shridhar Kushal Kumar Jain Max B. Paulus J. M. Buhmann Mrinmaya Sachan Carl Allen DRL 21 5 0 26 Sep 2022
FusionVAE: A Deep Hierarchical Variational Autoencoder for RGB Image Fusion Fabian Duffhauss Ngo Anh Vien Hanna Ziesche Gerhard Neumann 33 4 0 22 Sep 2022
A Geometric Perspective on Variational Autoencoders Clément Chadebec S. Allassonnière DRL 26 21 0 15 Sep 2022
Fair Inference for Discrete Latent Variable Models Rashidul Islam Shimei Pan James R. Foulds FaML 38 1 0 15 Sep 2022
Model-Guided Multi-Contrast Deep Unfolding Network for MRI Super-resolution Reconstruction Gang Yang Li Zhang Man Zhou Aiping Liu Xun Chen Zhiwei Xiong Feng Wu MedIm 23 14 0 15 Sep 2022
Tackling Multimodal Device Distributions in Inverse Photonic Design using Invertible Neural Networks Michel Frising J. Bravo-Abad F. Prins 20 2 0 29 Aug 2022
Lossy Image Compression with Quantized Hierarchical VAEs Zhihao Duan Ming-Tse Lu Zhan Ma F. Zhu 35 43 0 27 Aug 2022
Understanding Diffusion Models: A Unified Perspective Calvin Luo DiffM 13 332 0 25 Aug 2022
Flow Annealed Importance Sampling Bootstrap Laurence Illing Midgley Vincent Stimper G. Simm Bernhard Schölkopf José Miguel Hernández-Lobato 24 77 0 03 Aug 2022
Quantum Adaptive Fourier Features for Neural Density Estimation Joseph A. Gallego-Mejia Fabio A. González 13 9 0 01 Aug 2022
Learning Dynamic Manipulation Skills from Haptic-Play Taeyoon Lee D. Sung Kyoung-Whan Choi Choong-Keun Lee Changwoo Park Keunjun Choi 22 3 0 28 Jul 2022
Fuse It More Deeply! A Variational Transformer with Layer-Wise Latent Variable Inference for Text Generation Jinyi Hu Xiaoyuan Yi Wenhao Li Maosong Sun Xing Xie 18 21 0 13 Jul 2022
RevBiFPN: The Fully Reversible Bidirectional Feature Pyramid Network Vitaliy Chiley Vithursan Thangarasa Abhay Gupta Anshul Samar Joel Hestness D. DeCoste 40 8 0 28 Jun 2022
Latent Variable Modelling Using Variational Autoencoders: A survey Vasanth Kalingeri CML DRL 18 2 0 20 Jun 2022
Path-Gradient Estimators for Continuous Normalizing Flows Lorenz Vaitl K. Nicoli Shinichi Nakajima Pan Kessel 14 13 0 17 Jun 2022
ProActive: Self-Attentive Temporal Point Process Flows for Activity Sequences Vinayak Gupta Srikanta J. Bedathur AI4TS 16 16 0 10 Jun 2022
Flowification: Everything is a Normalizing Flow Bálint Máté Samuel Klein T. Golling Franccois Fleuret 23 3 0 30 May 2022
Gacs-Korner Common Information Variational Autoencoder Michael Kleinman Alessandro Achille Stefano Soatto J. Kao CML DRL 24 12 0 24 May 2022
NFL: Robust Learned Index via Distribution Transformation Shangyu Wu Yufei Cui Jinghuan Yu Xuan Sun Tei-Wei Kuo Chun Jason Xue OOD 18 25 0 24 May 2022
Flow-based Recurrent Belief State Learning for POMDPs Xiaoyu Chen Yao Mu Ping Luo Sheng Li Jianyu Chen 43 18 0 23 May 2022
Exploiting Inductive Bias in Transformers for Unsupervised Disentanglement of Syntax and Semantics with VAEs G. Felhi Joseph Le Roux Djamé Seddah DRL 26 2 0 12 May 2022
NaturalSpeech: End-to-End Text to Speech Synthesis with Human-Level Quality Xu Tan Jiawei Chen Haohe Liu Jian Cong Chen Zhang ... Lei He Frank Soong Tao Qin Sheng Zhao Tie-Yan Liu 35 211 0 09 May 2022
SIReN-VAE: Leveraging Flows and Amortized Inference for Bayesian Networks Jacobie Mouton Steve Kroon DRL BDL 20 0 0 23 Apr 2022
A Variational Approach to Bayesian Phylogenetic Inference Cheng Zhang IV FrederickA.Matsen BDL 18 17 0 16 Apr 2022
Statistical Model Criticism of Variational Auto-Encoders Claartje Barkhof Wilker Aziz DRL 19 3 0 06 Apr 2022
Efficient-VDVAE: Less is more Louay Hazami Rayhane Mama Ragavan Thurairatnam BDL 21 28 0 25 Mar 2022
TO-FLOW: Efficient Continuous Normalizing Flows with Temporal Optimization adjoint with Moving Speed Shian Du Yihong Luo Wei-Neng Chen Jian Xu Delu Zeng 24 6 0 19 Mar 2022
Image Super-Resolution With Deep Variational Autoencoders Darius Chira Ilian Haralampiev Ole Winther Andrea Dittadi Valentin Liévin DRL 30 32 0 17 Mar 2022
Variational Inference with Locally Enhanced Bounds for Hierarchical Models Tomas Geffner Justin Domke 18 5 0 08 Mar 2022
Variational methods for simulation-based inference Manuel Glöckler Michael Deistler Jakob H. Macke 25 46 0 08 Mar 2022
Variational Autoencoders Without the Variation Gregory A. Daly J. Fieldsend G. Tabor 20 2 0 01 Mar 2022
A Brief Overview of Unsupervised Neural Speech Representation Learning Lasse Borgholt Jakob Drachmann Havtorn Joakim Edin Lars Maaløe Christian Igel BDL AI4TS SSL 19 11 0 01 Mar 2022