Variational Inference with Normalizing Flows

21 May 2015

Danilo Jimenez Rezende

Papers citing "Variational Inference with Normalizing Flows"

50 / 830 papers shown

Title
Neural Spline Search for Quantile Probabilistic Modeling Ruoxi Sun Chun-Liang Li Sercan Ö. Arik Michael W. Dusenberry Chen-Yu Lee Tomas Pfister AI4TS 42 5 0 12 Jan 2023
Deep Injective Prior for Inverse Scattering AmirEhsan Khorashadizadeh Vahid Khorashadi-Zadeh Sepehr Eskandari Guy A. E. Vandenbosch Ivan Dokmanić 18 7 0 08 Jan 2023
ResGrad: Residual Denoising Diffusion Probabilistic Models for Text to Speech Ze Chen Yihan Wu Yichong Leng Jiawei Chen Haohe Liu ... Ke Wang Lei He Sheng Zhao Jiang Bian Danilo Mandic DiffM 32 22 0 30 Dec 2022
Unsupervised Representation Learning from Pre-trained Diffusion Probabilistic Models Zijian Zhang Zhou Zhao Zhijie Lin DiffM 35 52 0 26 Dec 2022
A Mathematical Framework for Learning Probability Distributions Hongkang Yang 31 7 0 22 Dec 2022
Low-Light Image and Video Enhancement: A Comprehensive Survey and Beyond Shen Zheng Yi Ma Jinqian Pan Chang-Tien Lu Gaurav Gupta 31 21 0 21 Dec 2022
Distribution-aware Goal Prediction and Conformant Model-based Planning for Safe Autonomous Driving Jonathan M Francis Bingqing Chen Weiran Yao Eric Nyberg Jean Oh OOD 32 5 0 16 Dec 2022
Uncovering the Disentanglement Capability in Text-to-Image Diffusion Models Qiucheng Wu Yujian Liu Handong Zhao Ajinkya Kale T. Bui Tong Yu Zhe-nan Lin Yang Zhang Shiyu Chang DiffM CoGe 30 98 0 16 Dec 2022
Machine Learning Coarse-Grained Potentials of Protein Thermodynamics Maciej Majewski Adriana Pérez Philipp Thölke Stefan Doerr N. Charron T. Giorgino B. Husic C. Clementi Frank Noé Gianni De Fabritiis AI4CE 21 70 0 14 Dec 2022
Simulating 2+1D Lattice Quantum Electrodynamics at Finite Density with Neural Flow Wavefunctions Zhuo Chen Di Luo Kaiwen Hu B. Clark 27 14 0 14 Dec 2022
Learning and Predicting Multimodal Vehicle Action Distributions in a Unified Probabilistic Model Without Labels Charles Richter Patrick R. Barragán S. Karaman SSL 12 1 0 14 Dec 2022
RGBD2: Generative Scene Synthesis via Incremental View Inpainting using RGBD Diffusion Models Jiabao Lei Jiapeng Tang Kui Jia DiffM 27 38 0 12 Dec 2022
On the Robustness of Normalizing Flows for Inverse Problems in Imaging Seongmin Hong I. Park S. Chun 33 7 0 08 Dec 2022
Deep Variational Inverse Scattering AmirEhsan Khorashadizadeh A. Aghababaei Tin Vlavsić Hieu Nguyen Ivan Dokmanić BDL UQCV 35 3 0 08 Dec 2022
FineDance: A Fine-grained Choreography Dataset for 3D Full Body Dance Generation Ronghui Li Junfan Zhao Yachao Zhang Mingyang Su Zeping Ren Han Zhang Yansong Tang Xiuhua Li DiffM 30 51 0 07 Dec 2022
Diffusion-SDF: Text-to-Shape via Voxelized Diffusion Muheng Li Yueqi Duan Jie Zhou Jiwen Lu DiffM 42 121 0 06 Dec 2022
Learning Sampling Distributions for Model Predictive Control Jacob Sacks Byron Boots 11 21 0 05 Dec 2022
Variational Laplace Autoencoders Yookoon Park C. Kim Gunhee Kim BDL DRL 26 21 0 30 Nov 2022
Proximal Residual Flows for Bayesian Inverse Problems J. Hertrich BDL TPM 39 4 0 30 Nov 2022
Data-driven Science and Machine Learning Methods in Laser-Plasma Physics Andreas Döpp C. Eberle S. Howard F. Irshad Jinpu Lin M. Streeter AI4CE 32 63 0 30 Nov 2022
Stochastic Parameterization of Column Physics using Generative Adversarial Networks B. Nadiga Xiaoming Sun Cody Nash GAN 13 8 0 30 Nov 2022
UDE: A Unified Driving Engine for Human Motion Generation Zixiang Zhou Baoyuan Wang DiffM 36 60 0 29 Nov 2022
Copula Density Neural Estimation N. A. Letizia Andrea M. Tonello 18 7 0 25 Nov 2022
CaloMan: Fast generation of calorimeter showers with density estimation on learned manifolds Jesse C. Cresswell Brendan Leigh Ross G. Loaiza-Ganem H. Reyes-González Marco Letizia Anthony L. Caterini 19 36 0 23 Nov 2022
$β$ -Multivariational Autoencoder for Entangled Representation Learning in Video Frames F. Nouri R. Bergevin 16 0 0 22 Nov 2022
U-Flow: A U-shaped Normalizing Flow for Anomaly Detection with Unsupervised Threshold Matías Tailanián Álvaro Pardo Pablo Musé 30 18 0 22 Nov 2022
Clarity: an improved gradient method for producing quality visual counterfactual explanations Claire Theobald Frédéric Pennerath Brieuc Conan-Guez Miguel Couceiro Amedeo Napoli BDL 41 0 0 22 Nov 2022
Normalizing Flow with Variational Latent Representation Hanze Dong Shizhe Diao Weizhong Zhang Tong Zhang BDL OOD DRL 13 0 0 21 Nov 2022
Diffusion Model Based Posterior Sampling for Noisy Linear Inverse Problems Xiangming Meng Y. Kabashima DiffM 14 52 0 20 Nov 2022
NVDiff: Graph Generation through the Diffusion of Node Vectors Xiaohui Chen Yukun Li Aonan Zhang Liping Liu DiffM 23 21 0 19 Nov 2022
Interpretable Self-Aware Neural Networks for Robust Trajectory Prediction Masha Itkina Mykel J. Kochenderfer EDL UQCV 26 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
Versatile Diffusion: Text, Images and Variations All in One Diffusion Model Xingqian Xu Zhangyang Wang Eric Zhang Kai Wang Humphrey Shi DiffM 41 183 0 15 Nov 2022
An Overview on Controllable Text Generation via Variational Auto-Encoders Haoqin Tu Yitong Li BDL 27 2 0 15 Nov 2022
Aspects of scaling and scalability for flow-based sampling of lattice QCD Ryan Abbott M. S. Albergo Aleksandar Botev D. Boyda Kyle Cranmer ... Ali Razavi Danilo Jimenez Rezende F. Romero-López P. Shanahan Julian M. Urban 32 33 0 14 Nov 2022
Scalable PAC-Bayesian Meta-Learning via the PAC-Optimal Hyper-Posterior: From Theory to Practice Jonas Rothfuss Martin Josifoski Vincent Fortuin Andreas Krause 43 7 0 14 Nov 2022
Semi-Equivariant Continuous Normalizing Flows for Target-Aware Molecule Generation Eyal Rozenberg Daniel Freedman 26 0 0 09 Nov 2022
Generalized Product-of-Experts for Learning Multimodal Representations in Noisy Environments Abhinav Joshi Naman K. Gupta Jinang Shah Binod Bhattarai Ashutosh Modi Danail Stoyanov OffRL 36 2 0 07 Nov 2022
Learning Riemannian Stable Dynamical Systems via Diffeomorphisms Jiechao Zhang Hadi Beik-Mohammadi Leonel Rozo 28 15 0 06 Nov 2022
Grassmann Manifold Flows for Stable Shape Generation Ryoma Yataka Kazuki Hirashima Masashi Shiraishi 27 1 0 05 Nov 2022
Improved Analysis of Score-based Generative Modeling: User-Friendly Bounds under Minimal Smoothness Assumptions Hongrui Chen Holden Lee Jianfeng Lu DiffM 32 125 0 03 Nov 2022
An optimal control perspective on diffusion-based generative modeling Julius Berner Lorenz Richter Karen Ullrich DiffM 39 80 0 02 Nov 2022
Quantized Compressed Sensing with Score-based Generative Models Xiangming Meng Y. Kabashima DiffM 32 11 0 02 Nov 2022
A robust estimator of mutual information for deep learning interpretability Davide Piras H. Peiris A. Pontzen Luisa Lucie-Smith Ningyuan Guo Brian D. Nord SSL DRL 29 15 0 31 Oct 2022
Diffiner: A Versatile Diffusion-based Generative Refiner for Speech Enhancement Ryosuke Sawata Naoki Murata Yuhta Takida Toshimitsu Uesaka Takashi Shibuya Shusuke Takahashi Yuki Mitsufuji DiffM 34 15 0 27 Oct 2022
Optimization for Amortized Inverse Problems Tianci Liu Tong Yang Quan Zhang Qi Lei 36 5 0 25 Oct 2022
A Survey on Artificial Intelligence for Music Generation: Agents, Domains and Perspectives Carlos Hernandez-Olivan Javier Hernandez-Olivan J. R. Beltrán MGen 42 6 0 25 Oct 2022
Bayesian deep learning framework for uncertainty quantification in high dimensions Jeahan Jung Minseok Choi BDL UQCV 21 1 0 21 Oct 2022
Blind Super-Resolution for Remote Sensing Images via Conditional Stochastic Normalizing Flows Hanlin Wu Ning Ni Shan Wang Li-bao Zhang 38 8 0 14 Oct 2022
LION: Latent Point Diffusion Models for 3D Shape Generation Fangyin Wei Arash Vahdat Francis Williams Zan Gojcic Or Litany Sanja Fidler Karsten Kreis DiffM 73 486 0 12 Oct 2022