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Variational Inference with Normalizing Flows

21 May 2015

Danilo Jimenez Rezende

Papers citing "Variational Inference with Normalizing Flows"

50 / 2,268 papers shown

Title
RangeLDM: Fast Realistic LiDAR Point Cloud Generation Q. Hu Zhimin Zhang Wei Hu DiffM 78 16 0 15 Mar 2024
Towards the Reusability and Compositionality of Causal Representations Davide Talon Phillip Lippe Stuart James Alessio Del Bue Sara Magliacane BDL CML 65 4 0 14 Mar 2024
Generalized Predictive Model for Autonomous Driving Jiazhi Yang Shenyuan Gao Yihang Qiu Li Chen Tianyu Li ... Ping Luo Jun Zhang Andreas Geiger Yu Qiao Hongyang Li VGen 135 76 0 14 Mar 2024
Mitigating attribute amplification in counterfactual image generation Tian Xia Mélanie Roschewitz Fabio De Sousa Ribeiro Charles Jones Ben Glocker CML MedIm 80 5 0 14 Mar 2024
Towards Model-Agnostic Posterior Approximation for Fast and Accurate Variational Autoencoders Yaniv Yacoby Weiwei Pan Finale Doshi-Velez DRL 127 0 0 13 Mar 2024
Tractable Joint Prediction and Planning over Discrete Behavior Modes for Urban Driving Adam R. Villaflor Brian Yang Huangyuan Su Katerina Fragkiadaki John M. Dolan Jeff Schneider 68 0 0 12 Mar 2024
FlowVQTalker: High-Quality Emotional Talking Face Generation through Normalizing Flow and Quantization Shuai Tan Bin Ji Ye Pan 98 18 0 11 Mar 2024
Nonparametric Automatic Differentiation Variational Inference with Spline Approximation Yuda Shao Shan Yu Tianshu Feng 65 1 0 10 Mar 2024
Variational Inference of Parameters in Opinion Dynamics Models Jacopo Lenti Fabrizio Silvestri G. D. F. Morales 69 4 0 08 Mar 2024
Optimizing Retinal Prosthetic Stimuli with Conditional Invertible Neural Networks Yuli Wu Julian Wittmann Peter Walter Johannes Stegmaier 93 1 0 07 Mar 2024
Tackling Missing Values in Probabilistic Wind Power Forecasting: A Generative Approach Honglin Wen Pierre Pinson Jie Gu Zhijiang Jin AI4TS 71 1 0 06 Mar 2024
Mutual Information Estimation via Normalizing Flows I. Butakov Alexander Tolmachev S. Malanchuk A. Neopryatnaya Alexey Frolov 93 8 0 04 Mar 2024
CSE: Surface Anomaly Detection with Contrastively Selected Embedding Simon Thomine H. Snoussi 68 1 0 04 Mar 2024
Sequential transport maps using SoS density estimation and $α$ -divergences Benjamin Zanger Tiangang Cui Martin Schreiber O. Zahm 70 1 0 27 Feb 2024
ConjNorm: Tractable Density Estimation for Out-of-Distribution Detection Bo Peng Yadan Luo Yonggang Zhang Yixuan Li Zhen Fang 72 14 0 27 Feb 2024
Diffusion Model-Based Image Editing: A Survey Yi Huang Jiancheng Huang Yifan Liu Mingfu Yan Jiaxi Lv Jianzhuang Liu Wei Xiong He Zhang Liangliang Cao Liangliang Cao EGVM 263 103 0 27 Feb 2024
Re-Envisioning Numerical Information Field Theory (NIFTy.re): A Library for Gaussian Processes and Variational Inference G. Edenhofer Philipp Frank Jakob Roth R. Leike Massin Guerdi L. Scheel-Platz M. Guardiani Vincent Eberle M. Westerkamp T. Ensslin 88 10 0 26 Feb 2024
Stable Training of Normalizing Flows for High-dimensional Variational Inference Daniel Andrade BDL TPM 102 1 0 26 Feb 2024
An Automated End-to-End Open-Source Software for High-Quality Text-to-Speech Dataset Generation Ahmet Gunduz K. Yuksel Kareem Darwish Golara Javadi Fabio Minazzi Nicola Sobieski Sebastien Bratieres 57 0 0 26 Feb 2024
Generative AI in Vision: A Survey on Models, Metrics and Applications Gaurav Raut Apoorv Singh VLM MedIm 112 7 0 26 Feb 2024
Moonwalk: Inverse-Forward Differentiation Dmitrii Krylov Armin Karamzade Roy Fox 45 1 0 22 Feb 2024
Geometry-Informed Neural Networks Arturs Berzins Andreas Radler Sebastian Sanokowski Sepp Hochreiter Johannes Brandstetter GAN AI4CE 88 4 0 21 Feb 2024
Learning Exceptional Subgroups by End-to-End Maximizing KL-divergence Sascha Xu Nils Philipp Walter Janis Kalofolias Jilles Vreeken 66 1 0 20 Feb 2024
ADEPT: Hierarchical Bayes Approach to Personalized Federated Unsupervised Learning Kaan Ozkara Bruce Huang Ruida Zhou Suhas Diggavi 224 1 0 19 Feb 2024
Robustness and Exploration of Variational and Machine Learning Approaches to Inverse Problems: An Overview Alexander Auras Kanchana Vaishnavi Gandikota Hannah Droege Michael Moeller AAML 74 0 0 19 Feb 2024
WildFake: A Large-scale Challenging Dataset for AI-Generated Images Detection Yan Hong Jianfu Zhang 139 13 0 19 Feb 2024
Stochastic Localization via Iterative Posterior Sampling Louis Grenioux Maxence Noble Marylou Gabrié Alain Durmus DiffM 94 16 0 16 Feb 2024
Understanding Likelihood of Normalizing Flow and Image Complexity through the Lens of Out-of-Distribution Detection Genki Osada Tsubasa Takahashi Takashi Nishide OODD 23 1 0 16 Feb 2024
Discrete Probabilistic Inference as Control in Multi-path Environments T. Deleu Padideh Nouri Nikolay Malkin Doina Precup Yoshua Bengio 183 31 0 15 Feb 2024
A Survey of Generative AI for de novo Drug Design: New Frontiers in Molecule and Protein Generation Xiangru Tang Howard Dai Elizabeth Knight Fang Wu Yunyang Li Tianxiao Li Mark B. Gerstein 96 31 0 13 Feb 2024
Mapping the Ethics of Generative AI: A Comprehensive Scoping Review Thilo Hagendorff 95 52 0 13 Feb 2024
Diffeomorphic Measure Matching with Kernels for Generative Modeling Biraj Pandey Bamdad Hosseini Pau Batlle H. Owhadi 80 3 0 12 Feb 2024
GLA-Grad: A Griffin-Lim Extended Waveform Generation Diffusion Model Haocheng Liu Teysir Baoueb Mathieu Fontaine Jonathan Le Roux Gaël Richard 63 4 0 09 Feb 2024
Iterated Denoising Energy Matching for Sampling from Boltzmann Densities Tara Akhound-Sadegh Jarrid Rector-Brooks A. Bose Sarthak Mittal Pablo Lemos ... Siamak Ravanbakhsh Gauthier Gidel Yoshua Bengio Nikolay Malkin Alexander Tong DiffM 112 58 0 09 Feb 2024
Improved off-policy training of diffusion samplers Marcin Sendera Minsu Kim Sarthak Mittal Pablo Lemos Luca Scimeca Jarrid Rector-Brooks Alexandre Adam Yoshua Bengio Nikolay Malkin OffRL 239 28 0 07 Feb 2024
FlowPG: Action-constrained Policy Gradient with Normalizing Flows J. Brahmanage Jiajing Ling Akshat Kumar 68 4 0 07 Feb 2024
DySLIM: Dynamics Stable Learning by Invariant Measure for Chaotic Systems Yair Schiff Zhong Yi Wan Jeffrey B. Parker Stephan Hoyer Volodymyr Kuleshov Fei Sha Leonardo Zepeda-Núñez 142 15 0 06 Feb 2024
PQMass: Probabilistic Assessment of the Quality of Generative Models using Probability Mass Estimation Pablo Lemos Sammy N. Sharief Nikolay Malkin Laurence Perreault Levasseur Y. Hezaveh Laurence Perreault-Levasseur Yashar Hezaveh 86 3 0 06 Feb 2024
A Lennard-Jones Layer for Distribution Normalization Mulun Na Jonathan Klein Biao Zhang Wojciech Palubicki Soren Pirk D. L. Michels 65 0 0 05 Feb 2024
Quantum Normalizing Flows for Anomaly Detection Bodo Rosenhahn C. Hirche 47 4 0 05 Feb 2024
Can Shape-Infused Joint Embeddings Improve Image-Conditioned 3D Diffusion? Cristian Sbrolli Paolo Cudrano Matteo Matteucci DiffM 50 1 0 02 Feb 2024
Dual-Student Knowledge Distillation Networks for Unsupervised Anomaly Detection Liyi Yao Shaobing Gao 50 1 0 01 Feb 2024
Active Generation Network of Human Skeleton for Action Recognition Longzhao Liu Xin Wang Fangming Li Jiayu Chen GAN 92 1 0 30 Jan 2024
Unsupervised Discovery of Steerable Factors When Graph Deep Generative Models Are Entangled Shengchao Liu Chengpeng Wang Jiarui Lu Weili Nie Hanchen Wang Zhuoxinran Li Bolei Zhou Jian Tang 112 3 0 29 Jan 2024
AdvNF: Reducing Mode Collapse in Conditional Normalising Flows using Adversarial Learning V. Kanaujia Mathias S. Scheurer Vipul Arora GAN DRL 63 2 0 29 Jan 2024
Neural Network-Based Score Estimation in Diffusion Models: Optimization and Generalization Yinbin Han Meisam Razaviyayn Renyuan Xu DiffM 138 16 0 28 Jan 2024
Taiyi-Diffusion-XL: Advancing Bilingual Text-to-Image Generation with Large Vision-Language Model Support Xiaojun Wu Di Zhang Ruyi Gan Junyu Lu Ziwei Wu Renliang Sun Jiaxing Zhang Pingjian Zhang Yan Song VLM 86 7 0 26 Jan 2024
CaRiNG: Learning Temporal Causal Representation under Non-Invertible Generation Process Guan-Hong Chen Yifan Shen Zhenhao Chen Xiangchen Song Yuewen Sun Weiran Yao Xiao Liu Kun Zhang CML 69 8 0 25 Jan 2024
Equivariant Manifold Neural ODEs and Differential Invariants Emma Andersdotter Fredrik Ohlsson 72 0 0 25 Jan 2024
Efficient and Generalized end-to-end Autonomous Driving System with Latent Deep Reinforcement Learning and Demonstrations Zuojin Tang Xiaoyu Chen YongQiang Li Jianyu Chen 118 3 0 22 Jan 2024