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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
Reparameterized Policy Learning for Multimodal Trajectory Optimization Zhiao Huang Litian Liang Z. Ling Xuanlin Li Chuang Gan H. Su 112 11 0 20 Jul 2023
Solving multiphysics-based inverse problems with learned surrogates and constraints Ziyi Yin Rafael Orozco M. Louboutin Felix J. Herrmann AI4CE 119 10 0 18 Jul 2023
A Novel Application of Conditional Normalizing Flows: Stellar Age Inference with Gyrochronology P. Van-Lane J. Speagle S. Douglas 30 2 0 17 Jul 2023
Artificial Intelligence for the Electron Ion Collider (AI4EIC) C. Allaire R. Ammendola E. Aschenauer Maximilian Balandat M. Battaglieri ... D. Whiteson M. Williams S. Wu N. Zachariou P. Zurita 70 5 0 17 Jul 2023
Tapestry of Time and Actions: Modeling Human Activity Sequences using Temporal Point Process Flows Vinayak Gupta Srikanta J. Bedathur AI4TS 69 1 0 13 Jul 2023
PC-Droid: Faster diffusion and improved quality for particle cloud generation Matthew Leigh Debasish Sengupta J. A. Raine Guillaume Quétant T. Golling DiffM 93 14 0 13 Jul 2023
Image Denoising and the Generative Accumulation of Photons Alexander Krull H. Basevi Benjamin Salmon A. Zeug F. Muller Samuel Tonks Leela Muppala A. Leonardis DiffM 65 7 0 13 Jul 2023
Embracing the chaos: analysis and diagnosis of numerical instability in variational flows Zuheng Xu Trevor Campbell 78 3 0 12 Jul 2023
LINFA: a Python library for variational inference with normalizing flow and annealing Yu Wang Emma R. Cobian Jubilee Lee Fang Liu J. Hauenstein Daniele E. Schiavazzi BDL AI4CE 82 0 0 10 Jul 2023
Comparison of Point Cloud and Image-based Models for Calorimeter Fast Simulation Fernando Torales Acosta Vinicius Mikuni Benjamin Nachman M. Arratia B. Karki R. Milton P. Karande Aaron Angerami DiffM 102 28 0 10 Jul 2023
A generative flow for conditional sampling via optimal transport Jason Alfonso Ricardo Baptista Anupam Bhakta Noam Gal Alfin Hou I. Lyubimova Daniel Pocklington Josef Sajonz G. Trigila Ryan Tsai OT 55 5 0 09 Jul 2023
Language-free Compositional Action Generation via Decoupling Refinement Xiao Liu Guangyi Chen Yansong Tang Guangrun Wang Xiao-Ping Zhang Ser-Nam Lim CoGe 73 1 0 07 Jul 2023
Probabilistic and Semantic Descriptions of Image Manifolds and Their Applications Peter Tu Zhaoyuan Yang Leonid Sigal Zhiwei Xu Jing Zhang Yiwei Fu Dylan Campbell Jaskirat Singh Tianyu Wang DiffM 76 2 0 06 Jul 2023
$ν^2$ -Flows: Fast and improved neutrino reconstruction in multi-neutrino final states with conditional normalizing flows J. A. Raine Matthew Leigh K. Zoch T. Golling 58 19 0 05 Jul 2023
RADiff: Controllable Diffusion Models for Radio Astronomical Maps Generation Renato Sortino T. Cecconello A. DeMarco G. Fiameni Andrea Pilzer ... E. Sciacca A. Ingallinera C. Bordiu F. Bufano C. Spampinato DiffM 57 2 0 05 Jul 2023
DiffFlow: A Unified SDE Framework for Score-Based Diffusion Models and Generative Adversarial Networks Jingwei Zhang Han Shi Jincheng Yu Enze Xie Zhenguo Li DiffM 70 3 0 05 Jul 2023
Sampling the lattice Nambu-Goto string using Continuous Normalizing Flows M. Caselle E. Cellini A. Nada 62 14 0 03 Jul 2023
Transport meets Variational Inference: Controlled Monte Carlo Diffusions Francisco Vargas Shreyas Padhy Denis Blessing Nikolas Nusken DiffM OT 139 8 0 03 Jul 2023
EmoSpeech: Guiding FastSpeech2 Towards Emotional Text to Speech Daria Diatlova V. Shutov 93 9 0 28 Jun 2023
High Fidelity Image Counterfactuals with Probabilistic Causal Models Fabio De Sousa Ribeiro Tian Xia M. Monteiro Nick Pawlowski Ben Glocker DiffM 89 40 0 27 Jun 2023
Equivariant flow matching Leon Klein Andreas Krämer Frank Noé 105 79 0 26 Jun 2023
ProtoDiff: Learning to Learn Prototypical Networks by Task-Guided Diffusion Yingjun Du Zehao Xiao Tianran Ouyang Cees G. M. Snoek DiffM 87 12 0 26 Jun 2023
A Conditional Flow Variational Autoencoder for Controllable Synthesis of Virtual Populations of Anatomy Haoran Dou Nishant Ravikumar Alejandro F. Frangi 60 3 0 26 Jun 2023
Fighting Uncertainty with Gradients: Offline Reinforcement Learning via Diffusion Score Matching H.J. Terry Suh Glen Chou Hongkai Dai Lujie Yang Abhishek Gupta Russ Tedrake DiffM OffRL 95 9 0 24 Jun 2023
On the Convergence Rate of Gaussianization with Random Rotations Felix Dräxler Lars Kühmichel Armand Rousselot Jens Müller Christoph Schnörr Ullrich Kothe 85 3 0 23 Jun 2023
DiMSam: Diffusion Models as Samplers for Task and Motion Planning under Partial Observability Xiaolin Fang Caelan Reed Garrett Clemens Eppner Tomás Lozano-Pérez L. Kaelbling Dieter Fox DiffM 108 17 0 22 Jun 2023
Exploring the Landscape of Ubiquitous In-home Health Monitoring: A Comprehensive Survey Farhad Pourpanah Ali Etemad 100 5 0 22 Jun 2023
Hierarchical Neural Simulation-Based Inference Over Event Ensembles Lukas Heinrich S. Mishra-Sharma C. Pollard Philipp Windischhofer 120 7 0 21 Jun 2023
Benchmarking and Analyzing 3D-aware Image Synthesis with a Modularized Codebase Qiuyu Wang Zifan Shi Kecheng Zheng Yinghao Xu Sida Peng Yujun Shen 349 4 0 21 Jun 2023
HSR-Diff:Hyperspectral Image Super-Resolution via Conditional Diffusion Models Chanyue Wu Dong Wang Hanyu Mao Ying Li DiffM 81 41 0 21 Jun 2023
BMAD: Benchmarks for Medical Anomaly Detection Jinan Bao Hanshi Sun Hanqiu Deng Yinsheng He Zhaoxiang Zhang Xingyu Li MedIm 94 32 0 20 Jun 2023
Diffusion with Forward Models: Solving Stochastic Inverse Problems Without Direct Supervision A. Tewari Tianwei Yin George Cazenavette Semon Rezchikov J. Tenenbaum F. Durand William T. Freeman Vincent Sitzmann DiffM 152 90 0 20 Jun 2023
A Systematic Survey in Geometric Deep Learning for Structure-based Drug Design Zaixin Zhang Jiaxian Yan Qi Liu Enhong Chen Marinka Zitnik 137 1 0 20 Jun 2023
A VAE Approach to Sample Multivariate Extremes N. Lafon Philippe Naveau Ronan Fablet 144 6 0 19 Jun 2023
Variational Sequential Optimal Experimental Design using Reinforcement Learning Wanggang Shen Jiayuan Dong Xun Huan 66 3 0 17 Jun 2023
BISCUIT: Causal Representation Learning from Binary Interactions Phillip Lippe Sara Magliacane Sindy Löwe Yuki M. Asano Taco S. Cohen E. Gavves CML 80 31 0 16 Jun 2023
Enhanced Sampling with Machine Learning: A Review S. Mehdi Zachary Smith Lukas Herron Ziyue Zou P. Tiwary AI4CE 52 8 0 15 Jun 2023
Deep Generative Models for Decision-Making and Control Michael Janner 74 1 0 15 Jun 2023
Probabilistic Learning of Multivariate Time Series with Temporal Irregularity Yijun Li Cheuk Hang Leung Qi Wu AI4TS 104 1 0 15 Jun 2023
DORSal: Diffusion for Object-centric Representations of Scenes et al Allan Jabri Sjoerd van Steenkiste Emiel Hoogeboom Mehdi S. M. Sajjadi Thomas Kipf 89 16 0 13 Jun 2023
PauseSpeech: Natural Speech Synthesis via Pre-trained Language Model and Pause-based Prosody Modeling Ji-Sang Hwang Sang-Hoon Lee Seong-Whan Lee 68 4 0 13 Jun 2023
3D molecule generation by denoising voxel grids Pedro H. O. Pinheiro Joshua Rackers J. Kleinhenz Michael R. Maser Omar Mahmood Andrew Watkins Stephen Ra Vishnu Sresht Saeed Saremi DiffM 106 25 0 13 Jun 2023
Conditional Matrix Flows for Gaussian Graphical Models M. Negri F. A. Torres Volker Roth 33 3 0 12 Jun 2023
VillanDiffusion: A Unified Backdoor Attack Framework for Diffusion Models Sheng-Yen Chou Pin-Yu Chen Tsung-Yi Ho DiffM 104 56 0 12 Jun 2023
HiddenSinger: High-Quality Singing Voice Synthesis via Neural Audio Codec and Latent Diffusion Models Ji-Sang Hwang Sang-Hoon Lee Seong-Whan Lee DiffM 60 9 0 12 Jun 2023
A brief review of contrastive learning applied to astrophysics M. Huertas-Company R. Sarmiento J. Knapen 76 9 0 08 Jun 2023
Stochastic Multi-Person 3D Motion Forecasting Sirui Xu Yu-Xiong Wang Liangyan Gui DiffM 82 25 0 08 Jun 2023
Towards Predicting Equilibrium Distributions for Molecular Systems with Deep Learning Shuxin Zheng Jiyan He Chang-Shu Liu Yu Shi Ziheng Lu ... Peiran Jin Chi Chen Frank Noé Haiguang Liu Tie-Yan Liu AI4CE 89 41 0 08 Jun 2023
Unsupervised Compositional Concepts Discovery with Text-to-Image Generative Models Nan Liu Yilun Du Shuang Li J. Tenenbaum Antonio Torralba DiffM CoGe 108 27 0 08 Jun 2023
Unsupervised Cross-Domain Soft Sensor Modelling via Deep Physics-Inspired Particle Flow Bayes Junn Yong Loo Ze Yang Ding Surya G. Nurzaman C. Ting Vishnu Monn Baskaran Chee Pin Tan OOD 107 0 0 08 Jun 2023