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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
Generative Modeling via Tree Tensor Network States Xun Tang Y. Hur Y. Khoo Lexing Ying 38 8 0 03 Sep 2022
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Positive Difference Distribution for Image Outlier Detection using Normalizing Flows and Contrastive Data R. Schmier Ullrich Kothe C. Straehle 59 5 0 30 Aug 2022
Tackling Multimodal Device Distributions in Inverse Photonic Design using Invertible Neural Networks Michel Frising J. Bravo-Abad F. Prins 68 2 0 29 Aug 2022
Uncovering dark matter density profiles in dwarf galaxies with graph neural networks Tri Nguyen S. Mishra-Sharma R. Williams L. Necib 95 3 0 26 Aug 2022
Ab-initio quantum chemistry with neural-network wavefunctions J. Hermann J. Spencer Kenny Choo Antonio Mezzacapo W. Foulkes David Pfau Giuseppe Carleo Frank Noé AI4CE 83 86 0 26 Aug 2022
A deep learning framework for geodesics under spherical Wasserstein-Fisher-Rao metric and its application for weighted sample generation Yang Jing Jia-hua Chen Lei Li Jianfeng Lu 83 1 0 25 Aug 2022
Deep Structural Causal Shape Models Rajat Rasal Daniel Coelho De Castro Nick Pawlowski Ben Glocker 3DV MedIm 95 14 0 23 Aug 2022
StyleTalker: One-shot Style-based Audio-driven Talking Head Video Generation Dong Min Min-Hwan Song Eunji Ko Sung Ju Hwang VGen 104 12 0 23 Aug 2022
Neural PCA for Flow-Based Representation Learning Shen Li Bryan Hooi DRL 60 1 0 23 Aug 2022
Some Supervision Required: Incorporating Oracle Policies in Reinforcement Learning via Epistemic Uncertainty Metrics Jun Jet Tai Jordan Terry M. Innocente J. Brusey N. Horri 80 2 0 22 Aug 2022
Out-of-distribution Detection via Frequency-regularized Generative Models Mu Cai Yixuan Li OODD 64 33 0 18 Aug 2022
Hyperparameter Optimization of Generative Adversarial Network Models for High-Energy Physics Simulations Vincent Dumont X. Ju Juliane Mueller AI4CE 37 3 0 12 Aug 2022
Function Classes for Identifiable Nonlinear Independent Component Analysis Simon Buchholz M. Besserve Bernhard Schölkopf 92 40 0 12 Aug 2022
A biology-driven deep generative model for cell-type annotation in cytometry Quentin Blampey N. Bercovici C. Dutertre I. Pic F. André J. M. Ribeiro P. Cournède 62 3 0 11 Aug 2022
Learning Point Processes using Recurrent Graph Network Saurabh Dash Xueyuan She Saibal Mukhopadhyay GNN 31 3 0 11 Aug 2022
Efficient Out-of-Distribution Detection of Melanoma with Wavelet-based Normalizing Flows M. Valiuddin Christiaan Viviers R. V. Sloun Peter H. N. de With Fons van der Sommen MedIm 18 3 0 09 Aug 2022
Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning Ting-Li Chen Ruixiang Zhang Geoffrey E. Hinton DiffM 141 313 0 08 Aug 2022
Interpretable Uncertainty Quantification in AI for HEP Thomas Y. Chen B. Dey A. Ghosh Michael Kagan Brian D. Nord Nesar Ramachandra 72 7 0 05 Aug 2022
Constructing Balance from Imbalance for Long-tailed Image Recognition Yue Xu Yong-Lu Li Jiefeng Li Cewu Lu CVBM 96 31 0 04 Aug 2022
An Optimal Likelihood Free Method for Biological Model Selection Vincent D. Zaballa E. Hui 59 0 0 03 Aug 2022
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Flow Annealed Importance Sampling Bootstrap Laurence Illing Midgley Vincent Stimper G. Simm Bernhard Schölkopf José Miguel Hernández-Lobato 143 95 0 03 Aug 2022
Fast Kernel Density Estimation with Density Matrices and Random Fourier Features Joseph A. Gallego-Mejia J. Osorio Fabio A. González 48 9 0 02 Aug 2022
Quantum Adaptive Fourier Features for Neural Density Estimation Joseph A. Gallego-Mejia Fabio A. González 71 9 0 01 Aug 2022
Generative Design of Physical Objects using Modular Framework Nikita O. Starodubcev Nikolay O. Nikitin Konstantin G. Gavaza Elizaveta A. Andronova D. O. Sidorenko Anna V. Kaluzhnaya 26 6 0 29 Jul 2022
A Survey of Learning on Small Data: Generalization, Optimization, and Challenge Xiaofeng Cao Weixin Bu Sheng-Jun Huang Minling Zhang Ivor W. Tsang Yew-Soon Ong James T. Kwok 99 1 0 29 Jul 2022
Sliced Wasserstein Variational Inference Mingxuan Yi Song Liu 68 20 0 26 Jul 2022
Generalized Probabilistic U-Net for medical image segementation Ishaan Bhat J. Pluim Hugo J. Kuijf OOD 55 9 0 26 Jul 2022
Reliable amortized variational inference with physics-based latent distribution correction Ali Siahkoohi G. Rizzuti Rafael Orozco Felix J. Herrmann 83 29 0 24 Jul 2022
Multiscale Neural Operator: Learning Fast and Grid-independent PDE Solvers Björn Lütjens Catherine H. Crawford C. Watson C. Hill Dava Newman AI4CE 52 10 0 23 Jul 2022
Neural-Sim: Learning to Generate Training Data with NeRF Yunhao Ge Harkirat Singh Behl Lyne Tchapmi Suriya Gunasekar Neel Joshi Ya-heng Song Xin Eric Wang Laurent Itti Vibhav Vineet 234 33 0 22 Jul 2022
Deep Learning for Unsupervised Anomaly Localization in Industrial Images: A Survey Xian Tao Xinyi Gong X. Zhang Shaohua Yan Chandranath Adak UQCV 105 143 0 21 Jul 2022
On minimax density estimation via measure transport Sven Wang Youssef Marzouk OT 90 19 0 20 Jul 2022
Flow-based Visual Quality Enhancer for Super-resolution Magnetic Resonance Spectroscopic Imaging Siyuan Dong G. Hangel Eric Z. Chen Shanhui Sun W. Bogner G. Widhalm Chenyu You J. Onofrey Robin A. de Graaf James S. Duncan MedIm 78 5 0 20 Jul 2022
Deep Preconditioners and their application to seismic wavefield processing M. Ravasi 75 2 0 20 Jul 2022
Capabilities, Limitations and Challenges of Style Transfer with CycleGANs: A Study on Automatic Ring Design Generation T. C. Pedroso Javier Del Ser Natalia Díaz Rodríguez 36 5 0 18 Jul 2022
Gradient-based data and parameter dimension reduction for Bayesian models: an information theoretic perspective Ricardo Baptista Youssef Marzouk O. Zahm 74 14 0 18 Jul 2022
Uncertainty Calibration in Bayesian Neural Networks via Distance-Aware Priors Gianluca Detommaso Alberto Gasparin A. Wilson Cédric Archambeau UQCV BDL 78 3 0 17 Jul 2022
Supplementing Recurrent Neural Networks with Annealing to Solve Combinatorial Optimization Problems Shoummo Ahsan Khandoker Jawaril Munshad Abedin Mohamed Hibat-Allah 76 8 0 17 Jul 2022
The Free Energy Principle for Perception and Action: A Deep Learning Perspective Pietro Mazzaglia Tim Verbelen Ozan Çatal Bart Dhoedt DRL AI4CE 70 33 0 13 Jul 2022
Controllable and Lossless Non-Autoregressive End-to-End Text-to-Speech Zhengxi Liu Qiao Tian Chenxu Hu Xudong Liu Meng-Che Wu Yuping Wang Hang Zhao Yuxuan Wang 87 10 0 13 Jul 2022
SATTS: Speaker Attractor Text to Speech, Learning to Speak by Learning to Separate Nabarun Goswami Tatsuya Harada 78 5 0 13 Jul 2022
Neural Posterior Estimation with Differentiable Simulators Justine Zeghal F. Lanusse Alexandre Boucaud B. Remy E. Aubourg 71 14 0 12 Jul 2022
Bottlenecks CLUB: Unifying Information-Theoretic Trade-offs Among Complexity, Leakage, and Utility Behrooz Razeghi Flavio du Pin Calmon Deniz Gunduz Svyatoslav Voloshynovskiy 58 16 0 11 Jul 2022
Matching Normalizing Flows and Probability Paths on Manifolds Heli Ben-Hamu Samuel N. Cohen Joey Bose Brandon Amos Aditya Grover Maximilian Nickel Ricky T. Q. Chen Y. Lipman 113 42 0 11 Jul 2022
Hierarchical Latent Structure for Multi-Modal Vehicle Trajectory Forecasting Dooseop Choi Kyoung‐Wook Min 96 20 0 11 Jul 2022
Generative Adversarial Networks and Other Generative Models Markus T. Wenzel GAN 110 12 0 08 Jul 2022