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Variational Inference with Normalizing Flows

21 May 2015

Danilo Jimenez Rezende

Papers citing "Variational Inference with Normalizing Flows"

50 / 2,267 papers shown

Title
Score Neural Operator: A Generative Model for Learning and Generalizing Across Multiple Probability Distributions Xinyu Liao Aoyang Qin Jacob H. Seidman Junqi Wang Wei Wang P. Perdikaris DiffM 60 0 0 11 Oct 2024
Physics and Deep Learning in Computational Wave Imaging Youzuo Lin Shihang Feng J. Theiler Yinpeng Chen Umberto Villa Jing Rao John Greenhall Cristian Pantea M. Anastasio B. Wohlberg 63 1 0 10 Oct 2024
Reliable Probabilistic Human Trajectory Prediction for Autonomous Applications Manuel Hetzel H. Reichert Konrad Doll Bernhard Sick 66 1 0 09 Oct 2024
Unsupervised Representation Learning from Sparse Transformation Analysis Yue Song Thomas Anderson Keller Yisong Yue Pietro Perona Max Welling DRL 76 0 0 07 Oct 2024
Conditional Variational Autoencoders for Probabilistic Pose Regression Fereidoon Zangeneh Leonard Bruns A. Dekel Alessandro Pieropan Patric Jensfelt DRL 118 1 0 07 Oct 2024
AutoLoRA: AutoGuidance Meets Low-Rank Adaptation for Diffusion Models Artur Kasymov Marcin Sendera Michał Stypułkowski Maciej Ziȩba Przemysław Spurek 142 1 0 04 Oct 2024
Stochastic Sampling from Deterministic Flow Models Saurabh Singh Ian S. Fischer 64 4 0 03 Oct 2024
Stochastic variance-reduced Gaussian variational inference on the Bures-Wasserstein manifold Hoang Phuc Hau Luu Hanlin Yu Bernardo Williams Marcelo Hartmann Arto Klami DRL 151 0 0 03 Oct 2024
Bellman Diffusion: Generative Modeling as Learning a Linear Operator in the Distribution Space Yangming Li Chieh-Hsin Lai Carola-Bibiane Schönlieb Yuki Mitsufuji Stefano Ermon DiffM 70 0 0 02 Oct 2024
An uncertainty-aware Digital Shadow for underground multimodal CO2 storage monitoring A. Gahlot Rafael Orozco Ziyi Yin Felix J. Herrmann 47 4 0 02 Oct 2024
Towards a Theoretical Understanding of Synthetic Data in LLM Post-Training: A Reverse-Bottleneck Perspective Zeyu Gan Yong Liu SyDa 136 7 0 02 Oct 2024
Back to Bayesics: Uncovering Human Mobility Distributions and Anomalies with an Integrated Statistical and Neural Framework Minxuan Duan Yinlong Qian Lingyi Zhao Zihao Zhou Z. Rasheed Rose Yu Khurram Hassan-Shafique 67 0 0 01 Oct 2024
Stabilizing the Kumaraswamy Distribution Max Wasserman Gonzalo Mateos BDL 116 0 0 01 Oct 2024
A Survey on Diffusion Models for Inverse Problems Giannis Daras Hyungjin Chung Chieh-Hsin Lai Yuki Mitsufuji Jong Chul Ye P. Milanfar Alexandros G. Dimakis M. Delbracio MedIm 122 65 0 30 Sep 2024
Harnessing and modulating chaos to sample from neural generative models Rishidev Chaudhuri Vivek Handebagh 69 0 0 26 Sep 2024
Efficient Fairness-Performance Pareto Front Computation Mark Kozdoba Binyamin Perets Shie Mannor 69 0 0 26 Sep 2024
ControlCity: A Multimodal Diffusion Model Based Approach for Accurate Geospatial Data Generation and Urban Morphology Analysis Fangshuo Zhou Huaxia Li Rui Hu Sensen Wu Hailin Feng Zhenhong Du Liuchang Xu DiffM 68 2 0 25 Sep 2024
Score-based Neural Ordinary Differential Equations for Computing Mean Field Control Problems Mo Zhou Stanley Osher Wuchen Li 140 4 0 24 Sep 2024
Numerical determination of the width and shape of the effective string using Stochastic Normalizing Flows M. Caselle E. Cellini A. Nada 62 4 0 24 Sep 2024
AdapFair: Ensuring Continuous Fairness for Machine Learning Operations Yinghui Huang Zihao Tang Xiangyu Chang FaML 53 0 0 23 Sep 2024
Is Tokenization Needed for Masked Particle Modelling? Matthew Leigh Samuel Klein François Charton Tobias Golling Lukas Heinrich Michael Kagan Ines Ochoa Margarita Osadchy 95 8 0 19 Sep 2024
DPI-TTS: Directional Patch Interaction for Fast-Converging and Style Temporal Modeling in Text-to-Speech Xin Qi Ruibo Fu Zhengqi Wen Tao Wang Chunyu Qiang ... Xiaopeng Wang Yuankun Xie Yukun Liu Xuefei Liu Guanjun Li DiffM 108 0 0 18 Sep 2024
Latent mixed-effect models for high-dimensional longitudinal data Priscilla Ong Manuel Haußmann Otto Lönnroth Harri Lähdesmäki 54 0 0 17 Sep 2024
Extract and Diffuse: Latent Integration for Improved Diffusion-based Speech and Vocal Enhancement Yudong Yang Zhan Liu Wenyi Yu Guangzhi Sun Qiuqiang Kong Chao Zhang DiffM 106 1 0 15 Sep 2024
Uncertainty Estimation by Density Aware Evidential Deep Learning Taeseong Yoon Heeyoung Kim EDL UQCV 76 4 0 13 Sep 2024
Integrating Neural Operators with Diffusion Models Improves Spectral Representation in Turbulence Modeling Vivek Oommen Aniruddha Bora Zhen Zhang George Karniadakis DiffM 128 19 0 13 Sep 2024
Zero-Shot Sing Voice Conversion: built upon clustering-based phoneme representations Wangjin Zhou Fengrun Zhang Yiming Liu Wenhao Guan Yi Zhao He Qu 36 2 0 12 Sep 2024
Critically Damped Third-Order Langevin Dynamics Benjamin Sterling Monica Bugallo 73 0 0 12 Sep 2024
A Primer on Variational Inference for Physics-Informed Deep Generative Modelling Alex Glyn-Davies Arnaud Vadeboncoeur O. Deniz Akyildiz Ieva Kazlauskaite Mark Girolami PINN 141 0 0 10 Sep 2024
Latent 3D Brain MRI Counterfactual Wei Peng Tian Xia Fabio De Sousa Ribeiro Tomas Bosschieter Ehsan Adeli Qingyu Zhao Ben Glocker K. Pohl CML MedIm 90 1 0 09 Sep 2024
Improving Tree Probability Estimation with Stochastic Optimization and Variance Reduction Tianyu Xie Musu Yuan Minghua Deng Cheng Zhang 40 0 0 09 Sep 2024
Predicting Critical Heat Flux with Uncertainty Quantification and Domain Generalization Using Conditional Variational Autoencoders and Deep Neural Networks Farah Alsafadi Aidan Furlong Xu Wu UQCV AI4CE 105 3 0 09 Sep 2024
Generative Modelling via Quantile Regression Johannes Schmidt-Hieber Petr Zamolodtchikov 123 0 0 06 Sep 2024
Backdoor Defense through Self-Supervised and Generative Learning Ivan Sabolić Ivan Grubišić Siniša Šegvić AAML 113 0 0 02 Sep 2024
DeepSPoC: A Deep Learning-Based PDE Solver Governed by Sequential Propagation of Chaos Kai Du Yongle Xie Tao Zhou Yuancheng Zhou 71 0 0 29 Aug 2024
A Computational Framework for Modeling Emergence of Color Vision in the Human Brain Atsunobu Kotani Ren Ng 78 0 0 29 Aug 2024
Diffusion-Occ: 3D Point Cloud Completion via Occupancy Diffusion Guoqing Zhang Jian Liu DiffM 43 0 0 27 Aug 2024
Atlas Gaussians Diffusion for 3D Generation Haitao Yang Yuan Dong Hanwen Jiang Dejia Xu Georgios Pavlakos Qixing Huang 3DGS 191 3 0 23 Aug 2024
Factorized-Dreamer: Training A High-Quality Video Generator with Limited and Low-Quality Data Tao Yang Yangming Shi Yunwen Huang Feng Chen Yin Zheng Lei Zhang DiffM VGen 87 0 0 19 Aug 2024
Marker or Markerless? Mode-Switchable Optical Tactile Sensing for Diverse Robot Tasks Ni Ou Zhuo Chen Shan Luo 65 3 0 15 Aug 2024
Learned Multimodal Compression for Autonomous Driving Hadi Hadizadeh Ivan V. Bajić 65 2 0 15 Aug 2024
Sequential Representation Learning via Static-Dynamic Conditional Disentanglement Mathieu Cyrille Simon Pascal Frossard Christophe De Vleeschouwer CoGe CML 58 1 0 10 Aug 2024
Variational Bayesian Phylogenetic Inference with Semi-implicit Branch Length Distributions Tianyu Xie Frederick A. Matsen IV M. Suchard Cheng Zhang 54 1 0 09 Aug 2024
Online Model-based Anomaly Detection in Multivariate Time Series: Taxonomy, Survey, Research Challenges and Future Directions Lucas Correia Jan-Christoph Goos Philipp Klein Thomas Bäck Anna V. Kononova AI4TS 99 3 0 07 Aug 2024
Attacks and Defenses for Generative Diffusion Models: A Comprehensive Survey V. T. Truong Luan Ba Dang Long Bao Le DiffM MedIm 112 19 0 06 Aug 2024
View-consistent Object Removal in Radiance Fields Yiren Lu Jing Ma Yu Yin 86 4 0 04 Aug 2024
Calibrating Bayesian Generative Machine Learning for Bayesiamplification S. Bieringer S. Diefenbacher Gregor Kasieczka Mathias Trabs 48 4 0 01 Aug 2024
Discretizing Continuous Action Space with Unimodal Probability Distributions for On-Policy Reinforcement Learning Yuanyang Zhu Zhi Wang Yuanheng Zhu Chunlin Chen Dongbin Zhao 130 0 0 01 Aug 2024
PhysFlow: Skin tone transfer for remote heart rate estimation through conditional normalizing flows Lingxi Cui Huan Li Adria Ruiz Federico Sukno 3DH 78 0 0 31 Jul 2024
State-observation augmented diffusion model for nonlinear assimilation with unknown dynamics Zhuoyuan Li Bin Dong Linyue Chu 134 1 0 31 Jul 2024