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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
Forward-backward Gaussian variational inference via JKO in the Bures-Wasserstein Space Michael Diao Krishnakumar Balasubramanian Sinho Chewi Adil Salim BDL 68 29 0 10 Apr 2023
Binary Latent Diffusion Ze Wang Jiang Wang Zicheng Liu Qiang Qiu 71 14 0 10 Apr 2023
Delving into Discrete Normalizing Flows on SO(3) Manifold for Probabilistic Rotation Modeling Yulin Liu Haoran Liu Yingda Yin Yang Wang Baoquan Chen Heru Wang 90 13 0 08 Apr 2023
Efficient Multimodal Sampling via Tempered Distribution Flow Yixuan Qiu Tianlin Li OT 84 4 0 08 Apr 2023
Neural Diffeomorphic Non-uniform B-spline Flows S. Hong S. Chun 69 1 0 07 Apr 2023
Inductive biases in deep learning models for weather prediction Jannik Thümmel Matthias Karlbauer S. Otte C. Zarfl Georg Martius ... Thomas Scholten Ulrich Friedrich V. Wulfmeyer B. Goswami Martin Volker Butz AI4CE 113 6 0 06 Apr 2023
Incorporating Unlabelled Data into Bayesian Neural Networks Mrinank Sharma Tom Rainforth Yee Whye Teh Vincent Fortuin SSL UQCV BDL 98 10 0 04 Apr 2023
Fully Variational Noise-Contrastive Estimation Christopher Zach BDL DRL 101 2 0 04 Apr 2023
A Survey on Graph Diffusion Models: Generative AI in Science for Molecule, Protein and Material Mengchun Zhang Maryam Qamar Taegoo Kang Yuna Jung Chenshuang Zhang Sung-Ho Bae Chaoning Zhang DiffM MedIm 129 47 0 04 Apr 2023
$$\infty$-Diff: Infinite Resolution Diffusion with Subsampled Mollified States$ $\infty$ -Diff: Infinite Resolution Diffusion with Subsampled Mollified States Sam Bond-Taylor Chris G. Willcocks 85 18 0 31 Mar 2023
On Rényi Differential Privacy in Statistics-Based Synthetic Data Generation Takayuki Miura Toshiki Shibahara M. Kii Atsunori Ichikawa Juko Yamamoto Koji Chida SyDa 54 0 0 31 Mar 2023
4D Facial Expression Diffusion Model K. Zou S. Faisan Boyang Yu S. Valette Hyewon Seo 83 12 0 29 Mar 2023
UVCGAN v2: An Improved Cycle-Consistent GAN for Unpaired Image-to-Image Translation D. Torbunov Yi Huang Huan-Hsin Tseng Haiwang Yu Jin-zhi Huang Shinjae Yoo Meifeng Lin B. Viren Yihui Ren 82 12 0 28 Mar 2023
Manifold Learning by Mixture Models of VAEs for Inverse Problems Giovanni S. Alberti J. Hertrich Matteo Santacesaria Silvia Sciutto DRL 109 7 0 27 Mar 2023
SimpleNet: A Simple Network for Image Anomaly Detection and Localization Zhikang Liu Yiming Zhou Yuansheng Xu Zilei Wang 137 262 0 27 Mar 2023
AI-Generated Content (AIGC): A Survey Jiayang Wu Wensheng Gan Zefeng Chen Shicheng Wan Hong Lin 3DV 92 133 0 26 Mar 2023
EfficientAD: Accurate Visual Anomaly Detection at Millisecond-Level Latencies Kilian Batzner Lars Heckler Rebecca König 110 144 0 25 Mar 2023
A Generative Modeling Approach Using Quantum Gates Soumya Sarkar GAN 54 0 0 25 Mar 2023
Variational Inference for Longitudinal Data Using Normalizing Flows Clément Chadebec S. Allassonnière BDL DRL 54 1 0 24 Mar 2023
DiffuScene: Denoising Diffusion Models for Generative Indoor Scene Synthesis Jiapeng Tang Yinyu Nie Lev Markhasin Angela Dai Justus Thies Matthias Nießner DiffM 119 45 0 24 Mar 2023
High Fidelity Image Synthesis With Deep VAEs In Latent Space Troy Luhman Eric Luhman DRL 3DV 68 7 0 23 Mar 2023
Variantional autoencoder with decremental information bottleneck for disentanglement Jiantao Wu Shentong Mo Xiang Yang Muhammad Awais Sara Atito Xingshen Zhang Lin Wang Xiang Yang DRL 54 1 0 22 Mar 2023
Reinforcement Learning with Exogenous States and Rewards George Trimponias Thomas G. Dietterich OffRL 65 2 0 22 Mar 2023
EDGI: Equivariant Diffusion for Planning with Embodied Agents Johann Brehmer Joey Bose P. D. Haan Taco S. Cohen DiffM 105 36 0 22 Mar 2023
Focus or Not: A Baseline for Anomaly Event Detection On the Open Public Places with Satellite Images Y. Jeon Youngtack Oh Doyoung Jeong Hyunguk Choi Junsik Kim 66 0 0 21 Mar 2023
Diffusion-Based 3D Human Pose Estimation with Multi-Hypothesis Aggregation Wenkang Shan Zhenhua Liu Xinfeng Zhang Zhao Wang Kai Han Shanshe Wang Siwei Ma Wen Gao DiffM 101 91 0 21 Mar 2023
Inverse problem regularization with hierarchical variational autoencoders Jean Prost Antoine Houdard Andrés Almansa Nicolas Papadakis 108 6 0 20 Mar 2023
Conformal Generative Modeling on Triangulated Surfaces Victor D. Dorobantu Charlotte Borcherds Yisong Yue 66 1 0 17 Mar 2023
A Generative Model for Digital Camera Noise Synthesis M. Song Yang Zhang T. Aydin Elham Amin Mansour DisneyResearchStudios VLM 89 4 0 16 Mar 2023
Stochastic Interpolants: A Unifying Framework for Flows and Diffusions M. S. Albergo Nicholas M. Boffi Eric Vanden-Eijnden DiffM 337 326 0 15 Mar 2023
Interpretable ODE-style Generative Diffusion Model via Force Field Construction Weiyang Jin Yongpei Zhu Yuxi Peng DiffM 46 0 0 14 Mar 2023
Synthesizing Realistic Image Restoration Training Pairs: A Diffusion Approach Tao Yang Peiran Ren Xuansong Xie Lei Zhang DiffM 75 15 0 13 Mar 2023
Training, Architecture, and Prior for Deterministic Uncertainty Methods Bertrand Charpentier Chenxiang Zhang Stephan Günnemann UQCV OOD AI4CE 98 7 0 10 Mar 2023
Generative Model Based Noise Robust Training for Unsupervised Domain Adaptation Zhongying Deng Da Li Junjun He Yi-Zhe Song Tao Xiang 54 0 0 10 Mar 2023
Learning Stationary Markov Processes with Contrastive Adjustment L. Bergenstråhle J. Lagergren J. Lundeberg BDL 38 0 0 09 Mar 2023
Local Implicit Normalizing Flow for Arbitrary-Scale Image Super-Resolution Jiemei Yao Li-Yuan Tsao Yi-Chen Lo Roy Tseng Chia-Che Chang Chun-Yi Lee SupR 51 35 0 09 Mar 2023
A Comparative Study of Deep Learning and Iterative Algorithms for Joint Channel Estimation and Signal Detection in OFDM Systems Haocheng Ju Haimiao Zhang Lin Li Xiao Li B. Dong BDL 82 3 0 07 Mar 2023
Guiding Energy-based Models via Contrastive Latent Variables Hankook Lee Jongheon Jeong Sejun Park Jinwoo Shin BDL 88 15 0 06 Mar 2023
Progressive Bayesian Particle Flows based on Optimal Transport Map Sequences U. Hanebeck OT 53 1 0 04 Mar 2023
Self-Asymmetric Invertible Network for Compression-Aware Image Rescaling Jinhai Yang Mengxi Guo Shijie Zhao Junlin Li Li Zhang 56 5 0 04 Mar 2023
Cross-domain Transfer Learning and State Inference for Soft Robots via a Semi-supervised Sequential Variational Bayes Framework Shageenderan Sapai Junn Yong Loo Z. Y. Ding Chee Pin Tan Raphaël C.-W. Phan Vishnu Monn Baskaran Surya Girinatha Nurzaman DRL 130 5 0 03 Mar 2023
A Lifted Bregman Formulation for the Inversion of Deep Neural Networks Xiaoyu Wang Martin Benning 69 2 0 01 Mar 2023
Unsupervised Pathology Detection: A Deep Dive Into the State of the Art I. Lagogiannis Felix Meissen Georgios Kaissis Daniel Rueckert OOD 166 20 0 01 Mar 2023
UniFLG: Unified Facial Landmark Generator from Text or Speech Kentaro Mitsui Yukiya Hono Kei Sawada CVBM 54 7 0 28 Feb 2023
An Approximation Theory Framework for Measure-Transport Sampling Algorithms Ricardo Baptista Bamdad Hosseini Nikola B. Kovachki Youssef M. Marzouk A. Sagiv OT 98 17 0 27 Feb 2023
LAformer: Trajectory Prediction for Autonomous Driving with Lane-Aware Scene Constraints Mengmeng Liu Hao Cheng Linyuan Chen Hellward Broszio Jiangtao Li Runjiang Zhao Monika Sester M. Yang 96 54 0 27 Feb 2023
Generative Models for 3D Point Clouds Lingjie Kong P. Rajak Siamak Shakeri 3DPC 113 4 0 26 Feb 2023
Diffusion Model-Augmented Behavioral Cloning Shangcheng Chen Hsiang-Chun Wang Ming-Hao Hsu Chun-Mao Lai Shao-Hua Sun DiffM 150 31 0 26 Feb 2023
SurvivalGAN: Generating Time-to-Event Data for Survival Analysis Alexander Norcliffe B. Cebere F. Imrie Pietro Lio M. Schaar SyDa 74 15 0 24 Feb 2023
Q-Flow: Generative Modeling for Differential Equations of Open Quantum Dynamics with Normalizing Flows Owen Dugan Peter Y. Lu Rumen Dangovski Di Luo M. Soljavcić AI4CE 75 4 0 23 Feb 2023