Variational Inference with Normalizing Flows

21 May 2015

Danilo Jimenez Rezende

Papers citing "Variational Inference with Normalizing Flows"

50 / 911 papers shown

Title
Towards Understanding the Dynamics of Gaussian-Stein Variational Gradient Descent Tianle Liu Promit Ghosal Krishnakumar Balasubramanian Natesh S. Pillai 36 9 0 23 May 2023
Policy Representation via Diffusion Probability Model for Reinforcement Learning Long Yang Zhixiong Huang Fenghao Lei Yucun Zhong Yiming Yang Cong Fang Shiting Wen Binbin Zhou Zhouchen Lin DiffM 41 40 0 22 May 2023
Learning Subpocket Prototypes for Generalizable Structure-based Drug Design Zaixin Zhang Qi Liu 40 34 0 22 May 2023
Inductive Simulation of Calorimeter Showers with Normalizing Flows M. Buckley Claudius Krause Ian Pang David Shih AI4CE 24 22 0 19 May 2023
Improving Multimodal Joint Variational Autoencoders through Normalizing Flows and Correlation Analysis Agathe Senellart Clément Chadebec S. Allassonnière DRL 32 1 0 19 May 2023
Dynamic Causal Explanation Based Diffusion-Variational Graph Neural Network for Spatio-temporal Forecasting G. Liang Prayag Tiwari Sławomir Nowaczyk Stefan Byttner F. Alonso-Fernandez DiffM 44 13 0 16 May 2023
A Flow-Based Generative Model for Rare-Event Simulation Lachlan J. Gibson Marcus Hoerger Dirk P. Kroese 21 4 0 13 May 2023
Joint Metrics Matter: A Better Standard for Trajectory Forecasting Erica Weng Hanako Hoshino Deva Ramanan Kris Kitani 38 13 0 10 May 2023
Locally Attentional SDF Diffusion for Controllable 3D Shape Generation Xin-Yang Zheng Hao Pan Peng-Shuai Wang Xin Tong Yang Liu H. Shum 48 126 0 08 May 2023
Weakly-Supervised Anomaly Detection in the Milky Way M. Pettee Sowmya Thanvantri Benjamin Nachman David Shih M. Buckley J. Collins 21 7 0 05 May 2023
On the use of Deep Generative Models for Perfect Prognosis Climate Downscaling Jose González-Abad Jorge Baño-Medina Ignacio Heredia Cachá AI4Cl AI4CE DiffM 23 1 0 27 Apr 2023
The Score-Difference Flow for Implicit Generative Modeling Romann M. Weber DiffM 29 2 0 25 Apr 2023
Machine Learning and the Future of Bayesian Computation Steven Winter Trevor Campbell Lizhen Lin Sanvesh Srivastava David B. Dunson TPM 47 4 0 21 Apr 2023
How good are variational autoencoders at transfer learning? Lisa Bonheme M. Grzes OOD DRL 23 2 0 21 Apr 2023
Semi-Equivariant Conditional Normalizing Flows Eyal Rozenberg Daniel Freedman 27 0 0 13 Apr 2023
Explicitly Minimizing the Blur Error of Variational Autoencoders G. Bredell Kyriakos Flouris K. Chaitanya Ertunc Erdil E. Konukoglu 26 22 0 12 Apr 2023
InterGen: Diffusion-based Multi-human Motion Generation under Complex Interactions Hanming Liang Wenqian Zhang Wenxu Li Jingyi Yu Lan Xu DiffM VGen 29 101 0 12 Apr 2023
Learned multiphysics inversion with differentiable programming and machine learning M. Louboutin Ziyi Yin Rafael Orozco Thomas J. Grady Ali Siahkoohi G. Rizzuti Philipp A. Witte O. Møyner Gerard Gorman Felix J. Herrmann AI4CE 34 10 0 12 Apr 2023
A Comprehensive Survey on Deep Graph Representation Learning Wei Ju Zheng Fang Yiyang Gu Zequn Liu Qingqing Long ... Jingyang Yuan Yusheng Zhao Yifan Wang Xiao Luo Ming Zhang GNN AI4TS 72 142 0 11 Apr 2023
Forward-backward Gaussian variational inference via JKO in the Bures-Wasserstein Space Michael Diao Krishnakumar Balasubramanian Sinho Chewi Adil Salim BDL 32 21 0 10 Apr 2023
Binary Latent Diffusion Ze Wang Jiang Wang Zicheng Liu Qiang Qiu 32 13 0 10 Apr 2023
Neural Diffeomorphic Non-uniform B-spline Flows S. Hong S. Chun 40 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 46 6 0 06 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 34 15 0 31 Mar 2023
EfficientAD: Accurate Visual Anomaly Detection at Millisecond-Level Latencies Kilian Batzner Lars Heckler Rebecca König 50 130 0 25 Mar 2023
A Generative Modeling Approach Using Quantum Gates Soumya Sarkar GAN 25 0 0 25 Mar 2023
Variational Inference for Longitudinal Data Using Normalizing Flows Clément Chadebec S. Allassonnière BDL DRL 26 1 0 24 Mar 2023
High Fidelity Image Synthesis With Deep VAEs In Latent Space Troy Luhman Eric Luhman DRL 3DV 39 7 0 23 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 33 0 0 21 Mar 2023
A Generative Model for Digital Camera Noise Synthesis M. Song Yang Zhang T. Aydin Elham Amin Mansour DisneyResearchStudios VLM 40 4 0 16 Mar 2023
Synthesizing Realistic Image Restoration Training Pairs: A Diffusion Approach Tao Yang Peiran Ren Xuansong Xie Lei Zhang DiffM 32 15 0 13 Mar 2023
Guiding Energy-based Models via Contrastive Latent Variables Hankook Lee Jongheon Jeong Sejun Park Jinwoo Shin BDL 32 14 0 06 Mar 2023
Progressive Bayesian Particle Flows based on Optimal Transport Map Sequences U. Hanebeck OT 21 1 0 04 Mar 2023
Self-Asymmetric Invertible Network for Compression-Aware Image Rescaling Jinhai Yang Mengxi Guo Shijie Zhao Junlin Li Li Zhang 26 4 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 16 5 0 03 Mar 2023
A Lifted Bregman Formulation for the Inversion of Deep Neural Networks Xiaoyu Wang Martin Benning 36 2 0 01 Mar 2023
UniFLG: Unified Facial Landmark Generator from Text or Speech Kentaro Mitsui Yukiya Hono Kei Sawada CVBM 16 6 0 28 Feb 2023
Diffusion Model-Augmented Behavioral Cloning Shangcheng Chen Hsiang-Chun Wang Ming-Hao Hsu Chun-Mao Lai Shao-Hua Sun DiffM 60 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 44 14 0 24 Feb 2023
GraphVF: Controllable Protein-Specific 3D Molecule Generation with Variational Flow Fangce Sun Zhihao Zhan Hongyu Guo Ming Zhang Jian Tang 31 6 0 23 Feb 2023
Comparative Study of Coupling and Autoregressive Flows through Robust Statistical Tests A. Coccaro Marco Letizia H. Reyes-González Riccardo Torre OOD 42 5 0 23 Feb 2023
VI-DGP: A variational inference method with deep generative prior for solving high-dimensional inverse problems Yingzhi Xia Qifeng Liao Jinglai Li 27 2 0 22 Feb 2023
Differentiable Bootstrap Particle Filters for Regime-Switching Models Wenhan Li Xiongjie Chen Wenwu Wang Victor Elvira Yunpeng Li 43 6 0 20 Feb 2023
Weakly Supervised Label Learning Flows You Lu Chidubem Arachie Bert Huang 26 0 0 19 Feb 2023
Autocodificadores Variacionales (VAE) Fundamentos Teóricos y Aplicaciones J. D. L. Torre DRL 20 1 0 18 Feb 2023
The Geometry of Neural Nets' Parameter Spaces Under Reparametrization Agustinus Kristiadi Felix Dangel Philipp Hennig 32 11 0 14 Feb 2023
Where to Diffuse, How to Diffuse, and How to Get Back: Automated Learning for Multivariate Diffusions Raghav Singhal Mark Goldstein Rajesh Ranganath DiffM 39 21 0 14 Feb 2023
Variational Mixture of HyperGenerators for Learning Distributions Over Functions Batuhan Koyuncu Pablo Sánchez-Martín I. Peis Pablo Martínez Olmos Isabel Valera BDL GAN DRL 25 5 0 13 Feb 2023
Unbinned Profiled Unfolding Jay Chan Benjamin Nachman 24 7 0 10 Feb 2023
The Monge Gap: A Regularizer to Learn All Transport Maps Théo Uscidda Marco Cuturi OT 55 27 0 09 Feb 2023