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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
Monocular Human-Object Reconstruction in the Wild Chaofan Huo Ye-ling Shi Jingya Wang 3DH 96 1 0 30 Jul 2024
StackFLOW: Monocular Human-Object Reconstruction by Stacked Normalizing Flow with Offset Chaofan Huo Ye-ling Shi Yuexin Ma Lan Xu Jingyi Yu Jingya Wang 3DH 81 8 0 30 Jul 2024
Learning Feature-Preserving Portrait Editing from Generated Pairs Bowei Chen Tiancheng Zhi Peihao Zhu Shen Sang Jing Liu Linjie Luo DiffM 94 0 0 29 Jul 2024
Multiscale Representation Enhanced Temporal Flow Fusion Model for Long-Term Workload Forecasting Shiyu Wang Zhixuan Chu Yinbo Sun Yu Liu Yuliang Guo Yang Chen Huiyang Jian Lintao Ma Xingyu Lu Jun-ping Zhou AI4TS 95 1 0 29 Jul 2024
Importance Corrected Neural JKO Sampling Johannes Hertrich Robert Gruhlke 102 2 0 29 Jul 2024
Robust Fast Adaptation from Adversarially Explicit Task Distribution Generation Cheems Wang Yiqin Lv Yixiu Mao Yun Qu Yi Tian Xu Xiangyang Ji OOD TTA 155 7 0 28 Jul 2024
Inverse Problems with Diffusion Models: A MAP Estimation Perspective Sai Bharath Chandra Gutha Hossein Azizpour Ricardo Vinuesa DiffM 69 5 0 27 Jul 2024
Fast and Reliable Probabilistic Reflectometry Inversion with Prior-Amortized Neural Posterior Estimation V. Starostin Maximilian Dax A. Gerlach A. Hinderhofer Álvaro Tejero-Cantero Frank Schreiber 67 1 0 26 Jul 2024
Robust VAEs via Generating Process of Noise Augmented Data Hiroo Irobe Wataru Aoki Kimihiro Yamazaki Yuhui Zhang Takumi Nakagawa Hiroki Waida Yuichiro Wada Takafumi Kanamori AAML 61 0 0 26 Jul 2024
Estimating Probability Densities with Transformer and Denoising Diffusion Henry W. Leung J. Bovy Josh Speagle DiffM 90 0 0 22 Jul 2024
Variational Potential Flow: A Novel Probabilistic Framework for Energy-Based Generative Modelling Junn Yong Loo Michelle Adeline Arghya Pal Vishnu Monn Baskaran Chee-Ming Ting Raphaël C.-W. Phan DiffM 78 0 0 21 Jul 2024
Recent Advances in Generative AI and Large Language Models: Current Status, Challenges, and Perspectives D. Hagos Rick Battle Danda B. Rawat LM&MA OffRL 114 27 0 20 Jul 2024
Strongly Isomorphic Neural Optimal Transport Across Incomparable Spaces Athina Sotiropoulou David Alvarez-Melis OT 56 2 0 20 Jul 2024
All Roads Lead to Rome? Exploring Representational Similarities Between Latent Spaces of Generative Image Models Charumathi Badrinath Usha Bhalla Alexander X. Oesterling Suraj Srinivas Himabindu Lakkaraju DiffM 56 0 0 18 Jul 2024
This Probably Looks Exactly Like That: An Invertible Prototypical Network Zachariah Carmichael Timothy Redgrave Daniel Gonzalez Cedre Walter J. Scheirer BDL 122 2 0 16 Jul 2024
SurroFlow: A Flow-Based Surrogate Model for Parameter Space Exploration and Uncertainty Quantification Jingyi Shen Yuhan Duan Han-Wei Shen AI4CE 62 1 0 16 Jul 2024
Discrete generative diffusion models without stochastic differential equations: a tensor network approach Luke Causer Grant M. Rotskoff J. P. Garrahan DiffM 98 2 0 15 Jul 2024
R3D-AD: Reconstruction via Diffusion for 3D Anomaly Detection Zheyuan Zhou Le Wang N. Fang Zili Wang Le-miao Qiu Shuyou Zhang 85 15 0 15 Jul 2024
Understanding the Dependence of Perception Model Competency on Regions in an Image Sara Pohland Claire Tomlin 68 1 0 15 Jul 2024
Noise Calibration: Plug-and-play Content-Preserving Video Enhancement using Pre-trained Video Diffusion Models Qinyu Yang Haoxin Chen Yong Zhang Menghan Xia Xiaodong Cun Zhixun Su Ying Shan DiffM 77 3 0 14 Jul 2024
Real-time gravitational-wave inference for binary neutron stars using machine learning Maximilian Dax Stephen R. Green J. Gair N. Gupte M. Purrer Vivien Raymond J. Wildberger Jakob H. Macke A. Buonanno Bernhard Scholkopf 101 14 0 12 Jul 2024
On Exact Bit-level Reversible Transformers Without Changing Architectures Guoqiang Zhang J. P. Lewis W. Kleijn MQ AI4CE 79 0 0 12 Jul 2024
Learning Distances from Data with Normalizing Flows and Score Matching Peter Sorrenson Daniel Behrend-Uriarte Christoph Schnörr Ullrich Kothe 114 2 0 12 Jul 2024
Flow to Rare Events: An Application of Normalizing Flow in Temporal Importance Sampling for Automated Vehicle Validation Yichun Ye He Zhang Ye Tian Jian Sun 85 0 0 10 Jul 2024
TeVAE: A Variational Autoencoder Approach for Discrete Online Anomaly Detection in Variable-state Multivariate Time-series Data Lucas Correia Jan-Christoph Goos Philipp Klein Thomas Bäck Anna V. Kononova 53 2 0 09 Jul 2024
Variational Learning ISTA F. V. Massoli Christos Louizos Arash Behboodi 57 0 0 09 Jul 2024
JaywalkerVR: A VR System for Collecting Safety-Critical Pedestrian-Vehicle Interactions Kenta Mukoya Erica Weng Rohan Choudhury Kris Kitani 110 2 0 05 Jul 2024
Improving Accented Speech Recognition using Data Augmentation based on Unsupervised Text-to-Speech Synthesis Cong-Thanh Do Shuhei Imai R. Doddipatla Thomas Hain 86 3 0 04 Jul 2024
$Explainable vertebral fracture analysis with uncertainty estimation using differentiable rule-based classification$ Explainable vertebral fracture analysis with uncertainty estimation using differentiable rule-based classification Victor Wåhlstrand Skärström L. Johansson Jennifer Alvén M. Lorentzon Ida Häggström 68 1 0 03 Jul 2024
Consistency Flow Matching: Defining Straight Flows with Velocity Consistency Ling Yang Zixiang Zhang Zhilong Zhang Xingchao Liu Minkai Xu Wentao Zhang Chenlin Meng Stefano Ermon Bin Cui 91 25 0 02 Jul 2024
Aligning Human Motion Generation with Human Perceptions Haoru Wang Wentao Zhu Luyi Miao Yishu Xu Feng Gao Qi Tian Yizhou Wang EGVM 135 4 0 02 Jul 2024
Spatio-Temporal Graphical Counterfactuals: An Overview Mingyu Kang Duxin Chen Ziyuan Pu Jianxi Gao Wenwu Yu CML 109 1 0 02 Jul 2024
Efficient Nearest Neighbor based Uncertainty Estimation for Natural Language Processing Tasks Wataru Hashimoto Hidetaka Kamigaito Taro Watanabe 143 0 0 02 Jul 2024
ToCoAD: Two-Stage Contrastive Learning for Industrial Anomaly Detection Yun Liang Zhiguang Hu Junjie Huang Donglin Di Anyang Su Lei Fan 95 3 0 01 Jul 2024
Neural Conditional Probability for Uncertainty Quantification Vladimir Kostic Karim Lounici Grégoire Pacreau P. Novelli G. Turri Massimiliano Pontil TPM UQCV 123 0 0 01 Jul 2024
Electrostatics-based particle sampling and approximate inference Yongchao Huang DiffM 89 2 0 28 Jun 2024
Generative AI for Synthetic Data Across Multiple Medical Modalities: A Systematic Review of Recent Developments and Challenges Mahmoud Ibrahim Yasmina Al Khalil S. Amirrajab Chang Sun M. Breeuwer J. Pluim Bart Elen Gokhan Ertaylan Michel Dumontier SyDa MedIm 106 10 0 27 Jun 2024
Diffusion Model-Based Video Editing: A Survey Wenhao Sun Rong-Cheng Tu Jingyi Liao Dacheng Tao VGen 118 25 0 26 Jun 2024
Flexible Conformal Highest Predictive Conditional Density Sets Max Sampson Kung-Sik Chan 64 1 0 26 Jun 2024
Torchtree: flexible phylogenetic model development and inference using PyTorch Mathieu Fourment Matthew Macaulay Christiaan J. Swanepoel Xiang Ji M. Suchard Frederick A Matsen IV BDL 101 0 0 26 Jun 2024
Masked Generative Extractor for Synergistic Representation and 3D Generation of Point Clouds Hongliang Zeng Ping Zhang Fang Li Jiahua Wang Tingyu Ye Pengteng Guo 3DPC 110 0 0 25 Jun 2024
Disentangled Motion Modeling for Video Frame Interpolation Jaihyun Lew Jooyoung Choi Chaehun Shin Dahuin Jung Sungroh Yoon VGen DiffM 94 2 0 25 Jun 2024
Sampling Strategies in Bayesian Inversion: A Study of RTO and Langevin Methods Remi Laumont Yiqiu Dong Martin Skovgaard Andersen 50 1 0 24 Jun 2024
Flexible Tails for Normalizing Flows Tennessee Hickling Dennis Prangle 59 0 0 22 Jun 2024
Generative Topological Networks Alona Levy-Jurgenson Z. Yakhini 140 0 0 21 Jun 2024
Bayesian neural networks for predicting uncertainty in full-field material response G. Pasparakis Lori Graham-Brady Michael D. Shields AI4CE 88 4 0 21 Jun 2024
ATAC-Net: Zoomed view works better for Anomaly Detection Shaurya Gupta Neil Gautam Anurag Malyala 49 0 0 20 Jun 2024
VeriFlow: Modeling Distributions for Neural Network Verification Faried Abu Zaid Daniel Neider Mustafa Yalçıner 135 0 0 20 Jun 2024
Ranking LLMs by compression Peijia Guo Ziguang Li Haibo Hu Chao Huang Ming Li Rui Zhang 67 1 0 20 Jun 2024
Transferable Boltzmann Generators Leon Klein Frank Noé 146 19 0 20 Jun 2024